J V Warms

796 citations
8 papers · 662 · 1 hit paper · h-index 8

Impact in

    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • Biochemical and Molecular Research
    • Protein Degradation and Inhibitors
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 3
    • Enzyme function and inhibition 1
    • Amino Acid Enzymes and Metabolism 2

J V Warms

8 papers receiving 629 citations

J V Warms's Hit Papers

Ubiquitin-activating enzyme. Mechanism and role in protein-ubiquitin conjugation. 1982 · 347 citations
3470+14+29Years since publication100200300

Peers

J V Warms
Comparison fields: 5 of 61
  • Molecular Biology 581
  • Cell Biology 119
  • Oncology 180
  • Clinical Biochemistry 31
  • Cancer Research 66
Replace R Hough with:
R Hough United States
Fumio Osaka Japan
Cynthia S. Collins United States
Chih‐Sheng Yang United States
Yasuo Bai Japan
Yayoi Wada Japan
Noriyo Tokuda Japan
Aiyang Cheng United States
Peter Rellos Australia
Eva Bekesi United States
J V Warms relative to R Hough United States R Hough's profile →
Citations per field
00.5×1.5×2.2×
R Hough · 1×
Citations per year

Countries citing papers authored by J V Warms

Since Specialization
Citations

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

Fields of papers citing papers by J V Warms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J V Warms. 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 J V Warms. The network helps show where J V Warms may publish in the future.

Co-authors

The 6 scholars most cited alongside J V Warms, 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 J V Warms Line = papers co-authored together J V Warms links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Ubiquitin-activating enzyme. Mechanism and role in protein-ubiquitin conjugation.
Hit paper breakdown →
1982347
2 1992133
3 197959
4 197546
5 198723
6 197721
7 198720
8 196913

About J V Warms

J V Warms is a scholar working on Molecular Biology, Biochemistry, Clinical Biochemistry, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 662 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Diet, Metabolism, and Disease (1 paper), Neonatal Health and Biochemistry (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Molecular Biology (581 citations), Cell Biology (119 citations), Oncology (180 citations), Clinical Biochemistry (31 citations) and Cancer Research (66 citations). J V Warms has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include I A Rose, Avram Hershko, Arthur L. Haas, G.S. Kaklij, Donald J. Kuo and Lee‐Jun Wong. Their work appears in journals such as Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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