Magid Fallahi

842 citations
14 papers · 652 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Genomics and Phylogenetic Studies 2
    • DNA and Nucleic Acid Chemistry 2
    • Photosynthetic Processes and Mechanisms 2
    • Cancer Cells and Metastasis 2

Magid Fallahi

14 papers receiving 643 citations

Peers

Magid Fallahi
Comparison fields: 5 of 86
  • Oncology 209
  • Cancer Research 94
  • Molecular Biology 414
  • Cell Biology 84
  • Computational Theory and Mathematics 62
Replace Stacey Fossey with:
Stacey Fossey United States
Ondřej Kodet Czechia
Mariel A. Fanelli Argentina
Brian N. Cook United States
Krista M. Vincent Canada
Shaojie Jiang China
Salam Kadhim Canada
Csaba László United States
Mark G. Alexandrow United States
Ronald E. Gates United States
Magid Fallahi relative to Stacey Fossey United States Stacey Fossey's profile →
Citations per field
00.5×6.2×
Stacey Fossey · 1×
Citations per year

Countries citing papers authored by Magid Fallahi

Since Specialization
Citations

This map shows the geographic impact of Magid Fallahi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Magid Fallahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magid Fallahi more than expected).

Fields of papers citing papers by Magid Fallahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magid Fallahi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Magid Fallahi. The network helps show where Magid Fallahi may publish in the future.

Co-authors

The 25 scholars most cited alongside Magid Fallahi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Magid Fallahi Line = papers co-authored together Magid Fallahi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014151
2 201495
3 201369
4 200555
5 202254
6 200249
7 200534
8 200830
9 200729
10 200629
11 201420
12 200114
13 200513
14 200510

About Magid Fallahi

Magid Fallahi is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 652 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Genomics and Phylogenetic Studies (2 papers), Hormonal and reproductive studies (2 papers), Cancer Cells and Metastasis (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Oncology (209 citations), Cancer Research (94 citations), Molecular Biology (414 citations), Cell Biology (84 citations) and Computational Theory and Mathematics (62 citations). Magid Fallahi has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Xing Dai, Peng Sun, Kazuhide Watanabe, Alvaro Villarreal-Ponce, Geoffrey L. Hammond, Michael Salmans, Bogi Andersen, Artem Cherkasov, Bingnan Gu and Fuqiang Ban. Their work appears in journals such as Journal of Medicinal Chemistry, Developmental Cell, Proceedings of the National Academy of Sciences, Molecular Genetics and Genomics and Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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