James L. Sims

948 citations
9 papers · 774 · h-index 8

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 5%
    • PARP inhibition in cancer therapy

Papers in

    • DNA Repair Mechanisms 5
    • Cancer therapeutics and mechanisms 2
    • Ion channel regulation and function 1
    • Enzyme function and inhibition 1
    • PARP inhibition in cancer therapy 5

James L. Sims

9 papers receiving 714 citations

Peers

James L. Sims
Comparison fields: 5 of 73
  • Physiology 112
  • Oncology 512
  • Molecular Biology 548
  • Immunology 143
  • Geriatrics and Gerontology 25
Replace Hector Juarez-Salinas with:
Hector Juarez-Salinas United States
C. J. Skidmore United Kingdom
K. Yoshihara Japan
Michael R. Purnell United Kingdom
Gilbert de Murcia France
Georgina W. Sikorski United States
J Weill France
Pál I. Bauer Hungary
Shinji Fujimura Japan
B. Gowans Canada
James L. Sims relative to Hector Juarez-Salinas United States Hector Juarez-Salinas's profile →
Citations per field
00.5×2.7×
Hector Juarez-Salinas · 1×
Citations per year

Countries citing papers authored by James L. Sims

Since Specialization
Citations

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

Fields of papers citing papers by James L. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Sims. 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 James L. Sims. The network helps show where James L. Sims may publish in the future.

Co-authors

The 11 scholars most cited alongside James L. Sims, 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 James L. Sims Line = papers co-authored together James L. Sims links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1979286
2 1983166
3 1982149
4 198458
5 198133
6
Effect of nicotinamide analogues on recovery from DNA damage in C3H10T1/2 cells.
198430
7 198030
8 197916
9 19876

About James L. Sims

James L. Sims is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Surgery and Pathology and Forensic Medicine, having authored 9 papers that have together received 774 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), PARP inhibition in cancer therapy (5 papers), Cancer therapeutics and mechanisms (2 papers), Pancreatic function and diabetes (1 paper), Ion channel regulation and function (1 paper), Enzyme function and inhibition (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Physiology (112 citations), Oncology (512 citations), Molecular Biology (548 citations), Immunology (143 citations) and Geriatrics and Gerontology (25 citations). James L. Sims has collaborated with scholars based in United States. Frequent co-authors include Myron K. Jacobson, Hector Juarez-Salinas, Sosamma J. Berger, Nathan A. Berger, Georgina W. Sikorski, Elaine L. Jacobson, Rafael Álvarez-González, D. Michael Payne, David Dressler and Kirston Koths. Their work appears in journals such as Biochemistry, Nature, Archives of Biochemistry and Biophysics, Analytical Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

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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