Sam M. Beiser

64 papers receiving 2.4k citations

Sam M. Beiser's Hit Papers

STEROID-PROTEIN CONJUGATES 1957 · 718 citations
7180+23+46Years since publication200400600

Peers

Sam M. Beiser
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 549
  • Endocrinology, Diabetes and Metabolism 377
  • Animal Science and Zoology 194
  • Rheumatology 263
  • Toxicology 96
Replace John J. Langone with:
John J. Langone United States
Adel A. Yunis United States
Yûichi Yamamura Japan
MASANOBU KOHSAKA Japan
Roberto Ström Italy
Robert B. Hurlbert United States
Arne Lundblad Sweden
John M. Buchanan United States
Thomas F. Parsons United States
Jean Claude Mani France
Sam M. Beiser relative to John J. Langone United States John J. Langone's profile →
Citations per field
00.5×10×20×26.9×
John J. Langone · 1×
Citations per year

Countries citing papers authored by Sam M. Beiser

Since Specialization
Citations

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

Fields of papers citing papers by Sam M. Beiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam M. Beiser. 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 Sam M. Beiser. The network helps show where Sam M. Beiser may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
STEROID-PROTEIN CONJUGATES
Hit paper breakdown →
1957718
2 1964408
3 1959330
4 1970135
5 197373
6 197269
7 196568
8 196361
9 195559
10 195955
11 196155
12 196251
13 197348
14
Immunochemical studies on blood groups. XII. Preparation of blood group substances from bovine stomach linings and a comparison of their chemical and immunochemical properties with those of blood group substances from other species.
195244
15 196440
16 197240
17
Antibodies which react with nucleic acids.
196637
18 197136
19 196735
20 195234

About Sam M. Beiser

Sam M. Beiser is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Immunology and Allergy and Rheumatology, having authored 64 papers that have together received 2.9k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (24 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), Estrogen and related hormone effects (5 papers), Bacterial Genetics and Biotechnology (5 papers), Adrenal Hormones and Disorders (4 papers), Systemic Lupus Erythematosus Research (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (549 citations), Endocrinology, Diabetes and Metabolism (377 citations), Animal Science and Zoology (194 citations), Rheumatology (263 citations) and Toxicology (96 citations). Sam M. Beiser has collaborated with scholars based in United States and Italy. Frequent co-authors include Bernard F. Erlanger, Seymour Lieberman, Felix Borek, Stuart W. Tanenbaum, Elvin A. Kabat, Konrad C. Hsu, Vincent P. Butler, D. Warburton, Aaron Bendich and Herbert S. Rosenkranz. Their work appears in journals such as The Journal of Immunology, Nature, Science, The Journal of Experimental Medicine and Proceedings of the National Academy of Sciences.

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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