John S. Sack

5.9k citations
53 papers · 3.5k · 1 hit paper · h-index 27

Impact in

Papers in

    • Protein Structure and Dynamics 10
    • Melanoma and MAPK Pathways 9
    • Cytokine Signaling Pathways and Interactions 5
    • Cancer-related Molecular Pathways 5

John S. Sack

53 papers receiving 3.4k citations

John S. Sack's Hit Papers

Three-dimensional structure of calmodulin 1985 · 853 citations
8530+13+27Years since publication250500750

Peers

John S. Sack
Comparison fields: 5 of 119
  • Molecular Biology 2.2k
  • Endocrinology, Diabetes and Metabolism 411
  • Cell Biology 387
  • Genetics 503
  • Organic Chemistry 488
Replace Torleif Härd with:
Torleif Härd Sweden
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John S. Sack relative to Torleif Härd Sweden Torleif Härd's profile →
Citations per field
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Citations per year

Countries citing papers authored by John S. Sack

Since Specialization
Citations

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

Fields of papers citing papers by John S. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Sack. 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 John S. Sack. The network helps show where John S. Sack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Three-dimensional structure of calmodulin
Hit paper breakdown →
1985853
2 2001357
3 1988330
4 1989203
5 1978164
6 1991108
7 200699
8 198793
9 199191
10 198986
11 200080
12 201175
13 200363
14 200355
15 200851
16 199749
17 200448
18 200447
19 200447
20 201647

About John S. Sack

John S. Sack is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Organic Chemistry and Computational Theory and Mathematics, having authored 53 papers that have together received 3.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Protein Structure and Dynamics (10 papers), Melanoma and MAPK Pathways (9 papers), Computational Drug Discovery Methods (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Microtubule and mitosis dynamics (5 papers), Cancer-related Molecular Pathways (5 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Endocrinology, Diabetes and Metabolism (411 citations), Cell Biology (387 citations), Genetics (503 citations) and Organic Chemistry (488 citations). John S. Sack has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Florante A. Quiocho, William J. Cook, Anthony R. Means, Trevor J. Greenhough, Charles E. Bugg, Y.S. Babu, Mark A. Saper, Kevin Kish, Susan E. Kiefer and Yongmi An. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Biology, Nature, Journal of Medicinal Chemistry 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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