Howard S. Silverman

3.6k total citations
44 papers, 3.0k citations indexed

About

Howard S. Silverman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Howard S. Silverman has authored 44 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Cardiology and Cardiovascular Medicine and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Howard S. Silverman's work include Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Ischemia and Reperfusion (15 papers) and Mitochondrial Function and Pathology (10 papers). Howard S. Silverman is often cited by papers focused on Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Ischemia and Reperfusion (15 papers) and Mitochondrial Function and Pathology (10 papers). Howard S. Silverman collaborates with scholars based in United States, United Kingdom and Italy. Howard S. Silverman's co-authors include Michael D. Stern, Edward G. Lakatta, H. Miyata, Mark C. Haigney, Richard G. Hansford, Steven J. Sollott, Richard Josephson, Jay L. Zweíer, Fabio Di Lisa and Elinor J. Griffiths and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Howard S. Silverman

44 papers receiving 2.9k citations

Peers

Howard S. Silverman
Comparison fields: 5 of 107
  • Molecular Biology 1.8k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Pathology and Forensic Medicine 881
  • Cellular and Molecular Neuroscience 431
  • Physiology 367
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Citations per field, relative to Howard S. Silverman
Howard S. Silverman · 1×
Citations per year, relative to Howard S. Silverman
Howard S. Silverman · 1×

Countries citing papers authored by Howard S. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Howard S. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard S. Silverman

This figure shows the co-authorship network connecting the top 25 collaborators of Howard S. Silverman. A scholar is included among the top collaborators of Howard S. Silverman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Howard S. Silverman. Howard S. Silverman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 46
2 6
3 117
4 35
5 46
6 45
7 16
8 24
9 103
10 43
11 8
12 12
13 11
14 133
15 18
16 23
17 18
18 3
19 18
20 7

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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