について
Advance Your Forestry Research with IgMin Research
Forests play a crucial role in sustaining ecosystems, biodiversity, and climate resilience. At IgMin Research, we welcome global researchers and professionals to contribute to our forestry journal through impactful forestry journal submissions. Whether you are exploring sustainable forest management, biodiversity preservation, or climate-forest interactions, our open-access platform ensures wide visibility and fast-tracked peer review.
Our journal provides a trusted space for forestry research publishing, helping authors reach international audiences and make meaningful contributions to environmental science.
Here’s how to get started:
- Quick Submission: Submit your article easily through our one-step online form.
- Manuscript Guidelines: Review essential formatting and structural instructions before submission.
- Submit Forestry Article: Share your work with the global forestry research community.
Join us in advancing forestry knowledge and promoting sustainable practices for future generations.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
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研究論文
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- Designing a Compact High-precision Positioner with Large Stroke Capability for Nanoindentation Devices
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
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