Jacques Ermolieff

25 papers receiving 1.8k citations

Jacques Ermolieff's Hit Papers

Protein tyrosine phosphatase 1B inhibitors for diabetes 2002 · 580 citations
5800+8+16Years since publication100200300400500

Peers

Jacques Ermolieff
Comparison fields: 5 of 101
  • Toxicology 98
  • Computational Theory and Mathematics 301
  • Inorganic Chemistry 240
  • Pharmacology 245
  • Physiology 364
Replace Donald S. Karanewsky with:
Donald S. Karanewsky United States
Richard Labaudinière United States
Jingkang Shen China
Jay Wrobel United States
Hai‐Bing Zhou China
Rajesh Devraj United States
Bing Xiong China
Olivier Lozach France
Shilong Zheng United States
Bruce D. Roth United States
Jacques Ermolieff relative to Donald S. Karanewsky United States Donald S. Karanewsky's profile →
Citations per field
00.5×4.8×
Donald S. Karanewsky · 1×
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 →
2002580
2 2001346
3 2001195
4 2000185
5 2000117
6 200874
7 199755
8 199448
9 200940
10 200936
11 201733
12 199822
13 201122
14 200020
15 201116
16 199515
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 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protease and Inhibitor Mechanisms (3 papers), Synthesis and biological activity (3 papers), Hormonal Regulation and Hypertension (3 papers), ATP Synthase and ATPases Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Alzheimer's disease research and treatments (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Toxicology (98 citations), Computational Theory and Mathematics (301 citations), Inorganic Chemistry (240 citations), Pharmacology (245 citations) and Physiology (364 citations). Jacques Ermolieff has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Theodore Johnson, Michael R. Jirousek, Jordan Tang, Gerald Koelsch, Jeffrey A. Loy, Xinli Lin, Arun K. Ghosh, Dong-Woo Shin, Neysa Nevins and Raymond F. Schinazi. Their work appears in journals such as Biochemistry, Analytical Biochemistry, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society 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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