Bennett Kaufman

14 papers receiving 2.0k citations

Bennett Kaufman's Hit Papers

Single-Chain Antigen-Binding Proteins 1988 · 1.3k citations
1.3k0+12+25Years since publication4008001.2k

Peers

Bennett Kaufman
Comparison fields: 5 of 98
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Biotechnology 200
  • Immunology 409
  • Molecular Biology 1.1k
  • Infectious Diseases 257
Replace Richard A. Goldsby with:
Richard A. Goldsby United States
Teresa Cabezón Denmark
Mary M. Bendig United States
Daniel H. Wreschner Israel
D. B. Thomas Tanzania
Gordon Tribbick Australia
Elwira Lisowska Poland
T. Shantha Raju United States
Janendra K. Batra India
Dianne M. Fishwild United States
Bennett Kaufman relative to Richard A. Goldsby United States Richard A. Goldsby's profile →
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Countries citing papers authored by Bennett Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Bennett Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Single-Chain Antigen-Binding Proteins
Hit paper breakdown →
19881277
2 2009300
3 1987139
4 1989126
5 198569
6 199539
7 200738
8 198631
9 198631
10 199127
11 199118
12 19823
13 19761
14 19961
15 19840

About Bennett Kaufman

Bennett Kaufman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Oncology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Malaria Research and Control (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Pesticide Residue Analysis and Safety (2 papers), RNA and protein synthesis mechanisms (2 papers), Mosquito-borne diseases and control (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Biotechnology (200 citations), Immunology (409 citations), Molecular Biology (1.1k citations) and Infectious Diseases (257 citations). Bennett Kaufman has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Karl D. Hardman, Timothy Lee, Robert E. Bird, Shwu‐Maan Lee, Marc Whitlow, Syd Johnson, James W. Jacobson, S. Percy Ivy, Jeannette Y. Wick and P L Summers. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Immunological Methods, Journal of AOAC International, Clinical Cancer Research and Infection and Immunity.

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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