Mel Silverman

899 citations
29 papers · 736 · h-index 15

Impact in

Papers in

    • Ion Transport and Channel Regulation 9
    • Ion channel regulation and function 3
    • Renal and related cancers 2
    • Pancreatic function and diabetes 10

Mel Silverman

29 papers receiving 712 citations

Peers

Mel Silverman
Comparison fields: 5 of 86
  • Biochemistry 55
  • Cell Biology 124
  • Physiology 30
  • Molecular Biology 444
  • Immunology and Allergy 35
Replace Yasunori Yokota with:
Yasunori Yokota Japan
Abdur Rehman Siddiqi Sweden
James W. DeWille United States
Vania Hinkovska‐Galcheva United States
Cornelia Czupalla Germany
Koichi Tamoto Japan
Friedrich Fresser Austria
J H Baldwin United States
Matilde Caruso Italy
A Barrieux United States
Mel Silverman relative to Yasunori Yokota Japan Yasunori Yokota's profile →
Citations per field
00.5×1.5×
Yasunori Yokota · 1×
Citations per year

Countries citing papers authored by Mel Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Mel Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mel Silverman, 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 Mel Silverman Line = papers co-authored together Mel Silverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991135
2 199967
3 199658
4 200745
5 199340
6 200038
7 199937
8 199835
9 200234
10 200333
11 199828
12 199825
13 200321
14 200520
15 200416
16 199814
17 200913
18 200312
19 199711
20 19868

About Mel Silverman

Mel Silverman is a scholar working on Molecular Biology, Surgery, Cell Biology, Genetics and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 736 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Ion Transport and Channel Regulation (9 papers), Cellular transport and secretion (4 papers), Neuroscience and Neural Engineering (3 papers), Ion channel regulation and function (3 papers), Protease and Inhibitor Mechanisms (3 papers), Electrochemical sensors and biosensors (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Biochemistry (55 citations), Cell Biology (124 citations), Physiology (30 citations), Molecular Biology (444 citations) and Immunology and Allergy (35 citations). Mel Silverman has collaborated with scholars based in Canada and Singapore. Frequent co-authors include Menachem Ailenberg, Steven Vayro, Bernard Lo, Yong Song, Neil M. Goldenberg, Sergio Grinstein, Pam Speight, Eric A. Williams, Janet Roscoe and Jane E. Brissenden. Their work appears in journals such as American Journal of Physiology-Cell Physiology, BioTechniques, Kidney International, Biophysical Journal and Biochemical and Biophysical Research Communications.

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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