S. Bauminger

50 papers receiving 2.1k citations

Peers

S. Bauminger
Comparison fields: 5 of 108
  • Reproductive Medicine 462
  • Immunology 571
  • Agronomy and Crop Science 260
  • Pharmacology 312
  • Public Health, Environmental and Occupational Health 458
Replace Pamela Brown with:
Pamela Brown United Kingdom
William L. Miller United States
L. E. Gerschenson United States
Ada Dantes Israel
Jerry R. Reel United States
Tetsuya Mizutani Japan
Vidar Hansson Norway
Majambu Mbikay Canada
Arie B. Vaandrager Netherlands
Haiyan Lin China
S. Bauminger relative to Pamela Brown United Kingdom Pamela Brown's profile →
Citations per field
00.5×3.1×
Pamela Brown · 1×
Citations per year

Countries citing papers authored by S. Bauminger

Since Specialization
Citations

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

Fields of papers citing papers by S. Bauminger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972257
2 1974179
3 1974178
4 1980172
5 1973129
6
Lymphocyte activation. 3. Binding sites for phytomitogens on lymphocyte subpopulations.
1972103
7 1986100
8 197290
9 197779
10 197573
11 197673
12 197570
13 197647
14 197346
15 197645
16 197444
17
Effect of prostaglandins on phagocytosis of sheep erythrocytes by mouse peritoneal macrophages.
197840
18 197438
19 196431
20 198130

About S. Bauminger

S. Bauminger is a scholar working on Immunology, Molecular Biology, Reproductive Medicine, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (10 papers), Estrogen and related hormone effects (9 papers), Ovarian function and disorders (9 papers), Reproductive Biology and Fertility (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Reproductive System and Pregnancy (6 papers), Neuropeptides and Animal Physiology (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Reproductive Medicine (462 citations), Immunology (571 citations), Agronomy and Crop Science (260 citations), Pharmacology (312 citations) and Public Health, Environmental and Occupational Health (458 citations). S. Bauminger has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include H.R. Lindner, Melvyn F. Greaves, U. Zor, Meir Wilchek, Mara E. Lieberman, A. Tsafriri, Ayalla Barnea, Yitzhak Koch, Yacob Weinstein and Kenneth L. Melmon. Their work appears in journals such as Prostaglandins, Endocrinology, Steroids, Journal of Clinical Investigation and European Journal of Endocrinology.

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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