Arthur G. Schwartz

2.1k citations
53 papers · 1.7k indexed · h-index 27

Arthur G. Schwartz

53 papers receiving 1.7k citations

Peers

Arthur G. Schwartz
Comparison fields: 5 of 91
  • Aging 102
  • Endocrinology, Diabetes and Metabolism 880
  • Behavioral Neuroscience 141
  • Genetics 450
  • Pharmacology 139
Replace Laura L. Pashko with:
Laura L. Pashko United States
James W. Perfield United States
Fude Fang China
Marion B. Sewer United States
Jaya T. Venkatraman United States
M.C. Muñoz Spain
Petra Kempná Switzerland
Barbara A. Murry United States
Susanne Ullrich Germany
Glen E. Mott United States
Arthur G. Schwartz relative to Laura L. Pashko United States Laura L. Pashko's profile →
Citations per field
00.5×3.7×
Laura L. Pashko · 1×
Citations per year

Countries citing papers authored by Arthur G. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Arthur G. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur G. Schwartz. 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 Arthur G. Schwartz. The network helps show where Arthur G. Schwartz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202228
2 20193
3 20096
4 20092
5 20082
6 20016
7 199643
8 199541
9 199548
10 199325
11 199332
12 199234
13 199271
14 199128
15 19889
16 198712
17 198688
18 19815
19
Inhibition of spontaneous breast cancer information in c3h (avy/a) mice by long-term treatment with dehydro- epiandrosterone. Abstr.
19791
20 197525

About Arthur G. Schwartz

Arthur G. Schwartz is a scholar working on Endocrinology, Diabetes and Metabolism, Aging, Genetics, Behavioral Neuroscience and Virology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (26 papers), Estrogen and related hormone effects (22 papers), Hormonal Regulation and Hypertension (10 papers), Carcinogens and Genotoxicity Assessment (4 papers), Immune Cell Function and Interaction (4 papers), Steroid Chemistry and Biochemistry (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Pharmacology and Obesity Treatment (3 papers). The work is most often cited by research in Aging (102 citations), Endocrinology, Diabetes and Metabolism (880 citations), Behavioral Neuroscience (141 citations), Genetics (450 citations) and Pharmacology (139 citations). Arthur G. Schwartz has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Laura L. Pashko, Jeannette M. Whitcomb, Marvin L. Lewbart, Jonathan W. Nyce, Gordon C. Hard, Daniel Swern, Magid Abou‐Gharbia, Peter Magee, Earl E. Henderson and Alan O. Perantoni. Their work appears in journals such as Carcinogenesis, Experimental Cell Research, Journal of Pharmaceutical Sciences, Journal of Cellular Biochemistry and Diabetes.

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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