Feng Ni

4.5k total citations · 1 hit paper
174 papers, 3.3k citations indexed

About

Feng Ni is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Feng Ni has authored 174 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 22 papers in Organic Chemistry and 22 papers in Oncology. Recurrent topics in Feng Ni's work include Protein Structure and Dynamics (23 papers), Chemical Synthesis and Analysis (19 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Feng Ni is often cited by papers focused on Protein Structure and Dynamics (23 papers), Chemical Synthesis and Analysis (19 papers) and Blood Coagulation and Thrombosis Mechanisms (14 papers). Feng Ni collaborates with scholars based in China, Canada and United States. Feng Ni's co-authors include Harold A. Scheraga, Ping Xu, Yasuo Konishi, Dmitri Tolkatchev, Ping Xu, Jianxing Song, Harold A. Scheraga, John DiMaio, Daniel R. Ripoll and George C. Levy and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Feng Ni

166 papers receiving 3.3k citations

Hit Papers

A narrative review of molecular mechanism and therapeutic... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A narrative review of molecular mechanism and therapeutic effect of cannabidiol (CBD)
    2022 166 citations Feng Ni et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Ni China 30 1.8k 391 374 352 278 174 3.3k
Enrico O. Purisima Canada 36 3.3k 1.8× 352 0.9× 167 0.4× 341 1.0× 597 2.1× 113 4.7k
Rong Zhou United States 42 2.7k 1.5× 405 1.0× 203 0.5× 858 2.4× 648 2.3× 173 5.7k
Marc De Maeyer Belgium 34 2.5k 1.4× 557 1.4× 208 0.6× 313 0.9× 148 0.5× 101 3.9k
Howard R. Petty United States 47 2.7k 1.5× 249 0.6× 558 1.5× 591 1.7× 383 1.4× 193 6.7k
Bernd Bohrmann Switzerland 33 2.9k 1.6× 245 0.6× 1.0k 2.7× 316 0.9× 396 1.4× 58 6.6k
Gary D. Glick United States 36 4.2k 2.3× 148 0.4× 274 0.7× 376 1.1× 329 1.2× 98 6.0k
Gennady M. Verkhivker United States 39 3.7k 2.0× 746 1.9× 109 0.3× 407 1.2× 284 1.0× 169 4.8k
José A. Rodríguez United States 28 1.8k 1.0× 633 1.6× 131 0.4× 177 0.5× 197 0.7× 51 3.5k
Ting Ran China 19 4.1k 2.2× 706 1.8× 105 0.3× 238 0.7× 376 1.4× 60 5.7k
Giovanna Musco Italy 35 3.0k 1.6× 172 0.4× 101 0.3× 187 0.5× 295 1.1× 99 5.3k

Countries citing papers authored by Feng Ni

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ni. A scholar is included among the top collaborators of Feng Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Ni. Feng Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ni, Feng, Huixian Wang, Jie Hu, et al.. (2025). Pyroptosis-driven immune dysregulation in COPD: molecular mechanisms and therapeutic implications. Frontiers in Immunology. 16. 1686175–1686175.
3.
Zhang, Weixiao, Feng Ni, Wei Xu, et al.. (2025). qMrdd3, a major QTL conferring durable resistance to maize rough dwarf disease. Journal of Integrative Agriculture.
4.
5.
Ni, Feng, Jun‐Jun Liu, Xīn Gào, et al.. (2024). Couples’ preconception urinary essential trace elements concentration and spontaneous abortion risk: A nested case-control study in a community population. Ecotoxicology and Environmental Safety. 283. 116764–116764.
6.
Yang, Mengjie, Xinyuan Yu, Ying Zhou, et al.. (2024). MolBiC: the cell-based landscape illustrating molecular bioactivities. Nucleic Acids Research. 53(D1). D1683–D1691. 1 indexed citations
7.
Yang, Tao, et al.. (2022). Evaluation of site-diversified, fully functionalized diazirine probes for chemical proteomic applications. Chemical Communications. 58(68). 9532–9535. 4 indexed citations
8.
Wang, Ning, Jinhui Wang, Feng Ni, et al.. (2022). Increasing the cytotoxicity of Ru(ii) polypyridyl complexes by tuning the electron-donating ability of 1,10-phenanthroline ligands. Dalton Transactions. 51(42). 16224–16235. 7 indexed citations
9.
Wu, Fan, et al.. (2022). A mild and concise synthesis of aryloxy phosphoramidate prodrug of alcohols via transesterification reaction. RSC Advances. 12(21). 13111–13115. 3 indexed citations
10.
Zhao, Xuelian, et al.. (2021). One‐pot synthesis and multiple MS/MS fragmentation studies of phospholysine peptides. Rapid Communications in Mass Spectrometry. 35(22). e9186–e9186. 3 indexed citations
11.
Ying, Jianxi, Yumeng Zhang, Bowen Han, et al.. (2021). Trimetaphosphate-induced chiral selection between amino acid and nucleoside using 15N-31P coupling NMR. Chinese Chemical Letters. 33(2). 821–824. 3 indexed citations
12.
Ni, Feng, et al.. (2021). Mini-incision Blepharoplasty with Pretarsal Fasciectomy for Double-Eyelid Surgery. Aesthetic Plastic Surgery. 45(5). 2201–2205. 9 indexed citations
13.
Busseuil, David, Pierre A. Geoffroy, Abedelnasser Abulrob, et al.. (2019). In Vivo Near-Infrared Fluorescence Imaging of Atherosclerosis Using Local Delivery of Novel Targeted Molecular Probes. Scientific Reports. 9(1). 2670–2670. 20 indexed citations
14.
Liu, Yi, Ding Wang, Jianwei Zhu, et al.. (2014). NEDD9 overexpression correlates with poor prognosis in gastric cancer. Tumor Biology. 35(7). 6351–6356. 16 indexed citations
15.
Su, Zhengding, Hongjian Li, Yang Li, & Feng Ni. (2007). Inhibition of the Pathogenically Related Morphologic Transition in Candida albicans by Disrupting Cdc42 Binding to Its Effectors. Chemistry & Biology. 14(11). 1273–1282. 13 indexed citations
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17.
Ni, Feng, Daniel R. Ripoll, Philip D. Martin, & Brian F.P. Edwards. (1992). Solution structure of a platelet receptor peptide bound to bovine .alpha.-thrombin. Biochemistry. 31(46). 11551–11557. 41 indexed citations
18.
Ni, Feng, Daniel R. Ripoll, & Enrico O. Purisima. (1992). Conformational stability of a thrombin-binding peptide derived from the hirudin C-terminus. Biochemistry. 31(9). 2545–2554. 29 indexed citations
19.
DiMaio, John, Feng Ni, Bernard F. Gibbs, & Yasuo Konishi. (1991). A new class of potent thrombin inhibitors that incorporates a scissile pseudopeptide bond. FEBS Letters. 282(1). 47–52. 40 indexed citations
20.

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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