Solomon S. Solomon

2.8k total citations
75 papers, 2.2k citations indexed

About

Solomon S. Solomon is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Solomon S. Solomon has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 20 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Surgery. Recurrent topics in Solomon S. Solomon's work include Metabolism, Diabetes, and Cancer (17 papers), Pancreatic function and diabetes (13 papers) and Phosphodiesterase function and regulation (12 papers). Solomon S. Solomon is often cited by papers focused on Metabolism, Diabetes, and Cancer (17 papers), Pancreatic function and diabetes (13 papers) and Phosphodiesterase function and regulation (12 papers). Solomon S. Solomon collaborates with scholars based in United States, Australia and Switzerland. Solomon S. Solomon's co-authors include William C. Duckworth, Alvin C. Powers, James W. Pichert, Abbas E. Kitabchi, Rajendra Raghow, Gipsy Majumdar, Antonio Martinez-Hernandez, David Wasserman, David H. Wasserman and James S. Brush and has published in prestigious journals such as Science, JAMA and Journal of Clinical Investigation.

In The Last Decade

Solomon S. Solomon

73 papers receiving 2.1k citations

Peers

Solomon S. Solomon
Comparison fields: 5 of 124
  • Molecular Biology 847
  • Surgery 411
  • Endocrinology, Diabetes and Metabolism 410
  • Public Health, Environmental and Occupational Health 405
  • Physiology 341
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Citations per field, relative to Solomon S. Solomon
Solomon S. Solomon · 1×
Citations per year, relative to Solomon S. Solomon
Solomon S. Solomon · 1×

Countries citing papers authored by Solomon S. Solomon

Since Specialization
Citations

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

Fields of papers citing papers by Solomon S. Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Solomon S. Solomon

This figure shows the co-authorship network connecting the top 25 collaborators of Solomon S. Solomon. A scholar is included among the top collaborators of Solomon S. Solomon 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 Solomon S. Solomon. Solomon S. Solomon 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 24
2 7
3 18
4 2
5 1
6 2
7 43
8 107
9 26
10 48
11 1
12 18
13 13
14 19
15 12
16 10
17 17
18 41
19 98
20
Characterization of a human melanoma cell line (KHm-1) containing phosphodiesterase activity only for cyclic adenosine 3':5'-monophosphate.
1

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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