Jacques Ermolieff

25 papers receiving 1.7k citations

Jacques Ermolieff's Hit Papers

Protein tyrosine phosphatase 1B inhibitors for diabetes 2002 · 564 citations
5640+8+16Years since publication100200300400500

Peers

Jacques Ermolieff
Comparison fields: 5 of 100
  • Toxicology 100
  • Computational Theory and Mathematics 299
  • Inorganic Chemistry 236
  • Pharmacology 242
  • Molecular Biology 932
Replace Zhihua Sui with:
Zhihua Sui United States
Jay Wrobel United States
John W. Clader United States
Michael Wiese Germany
Rajani Giridhar India
Shijun Wen China
Owen B. Wallace United States
Bing Xiong China
Shilong Zheng United States
Rajesh Devraj United States
Jacques Ermolieff relative to Zhihua Sui United States Zhihua Sui's profile →
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Citations per year

Countries citing papers authored by Jacques Ermolieff

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Ermolieff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protein tyrosine phosphatase 1B inhibitors for diabetes
Hit paper breakdown →
2002564
2 2001338
3 2001184
4 2000171
5 2000115
6 200868
7 199751
8 199446
9 200937
10 200935
11 201733
12 201122
13 199822
14 200020
15 201115
16 199514
17 200111
18 200710
19 20208
20 20177

About Jacques Ermolieff

Jacques Ermolieff is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), ATP Synthase and ATPases Research (3 papers), Synthesis and biological activity (3 papers), Hormonal Regulation and Hypertension (3 papers), Protease and Inhibitor Mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HIV Research and Treatment (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Toxicology (100 citations), Computational Theory and Mathematics (299 citations), Inorganic Chemistry (236 citations), Pharmacology (242 citations) and Molecular Biology (932 citations). Jacques Ermolieff has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Theodore Johnson, Michael R. Jirousek, Jordan Tang, Gerald Koelsch, Jeffrey A. Loy, Xinli Lin, Arun K. Ghosh, Dong-Woo Shin, James H. Nettles and Craig L. Hill. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters, Analytical Biochemistry and SLAS DISCOVERY.

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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