Fen Jiang

601 citations
32 papers · 480 · h-index 14

Impact in

  • Toxicology top 10%
    • Bioactive Compounds and Antitumor Agents
    • Zebrafish Biomedical Research Applications

Papers in

Fen Jiang

29 papers receiving 476 citations

Peers

Fen Jiang
Comparison fields: 5 of 91
  • Toxicology 27
  • Cell Biology 78
  • Molecular Biology 294
  • Complementary and alternative medicine 28
  • Immunology 65
Replace Margarita Montoya with:
Margarita Montoya Chile
Minfei Su United States
Masayasu Inoue Japan
Anjana Devi Tangutur India
Jesper J. Hedberg Sweden
Daniel F. A. R. Dourado Portugal
Dolores Dı́az United States
Alexey G. Kruglov Russia
Weigang Huang United States
Fen Jiang relative to Margarita Montoya Chile Margarita Montoya's profile →
Citations per field
00.5×2.5×
Margarita Montoya · 1×
Citations per year

Countries citing papers authored by Fen Jiang

Since Specialization
Citations

This map shows the geographic impact of Fen Jiang'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 Fen Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Jiang more than expected).

Fields of papers citing papers by Fen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fen Jiang. 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 Fen Jiang. The network helps show where Fen Jiang may publish in the future.

Co-authors

The 25 scholars most cited alongside Fen Jiang, 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 Fen Jiang Line = papers co-authored together Fen Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201950
2 202041
3 201340
4 201639
5 201839
6 201638
7 201433
8 201433
9 201629
10 201522
11 201518
12 200516
13 201715
14 202313
15 202411
16 200511
17 20218
18 20167
19 20145
20 20222

About Fen Jiang

Fen Jiang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Materials Chemistry and Pharmacology, having authored 32 papers that have together received 480 indexed citations. Recurring topics across this work include Heat shock proteins research (10 papers), Computational Drug Discovery Methods (5 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Protein Degradation and Inhibitors (2 papers), Circular RNAs in diseases (2 papers), Forest ecology and management (2 papers), Cancer-related gene regulation (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Toxicology (27 citations), Cell Biology (78 citations), Molecular Biology (294 citations), Complementary and alternative medicine (28 citations) and Immunology (65 citations). Fen Jiang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Qidong You, Xiaoli Xu, Haopeng Sun, Lei Wang, Xiaoke Guo, Qichao Bao, Xinjun Liao, Huiqiang Lu, Liqun Zhou and Zigang Cao. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, RSC Advances, Bioorganic & Medicinal Chemistry Letters and Journal of Inorganic and Organometallic Polymers and Materials.

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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