Samuel C. Kayman

2.0k total citations
32 papers, 1.7k citations indexed

About

Samuel C. Kayman is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Samuel C. Kayman has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Virology, 13 papers in Molecular Biology and 11 papers in Infectious Diseases. Recurrent topics in Samuel C. Kayman's work include HIV Research and Treatment (18 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and HIV/AIDS drug development and treatment (10 papers). Samuel C. Kayman is often cited by papers focused on HIV Research and Treatment (18 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and HIV/AIDS drug development and treatment (10 papers). Samuel C. Kayman collaborates with scholars based in United States, Japan and Cameroon. Samuel C. Kayman's co-authors include Abraham Pinter, William Honnen, Margaret Clarke, Miroslaw K. Górny, Susan Zolla‐Pazner, Chavdar Krachmarov, M Clarke, Yuxian He, Kathy Revesz and Asha Rathi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Samuel C. Kayman

31 papers receiving 1.6k citations

Peers

Samuel C. Kayman
Comparison fields: 5 of 69
  • Virology 1000
  • Immunology 594
  • Molecular Biology 528
  • Infectious Diseases 462
  • Radiology, Nuclear Medicine and Imaging 356
Replace Jia-huai Wang with:
Jia-huai Wang United States
Valerie Bosch Germany
Patrick Kanda United States
Chavdar Krachmarov United States
Reinhold Welker Germany
Matthias T. Dittmar Germany
Ron Diskin Israel
R Grimaila United States
A Rein United States
Sherimay D. Ablan United States
Jia-huai Wang United States View profile →
Citations per field, relative to Samuel C. Kayman
Samuel C. Kayman · 1×
Citations per year, relative to Samuel C. Kayman
Samuel C. Kayman · 1×

Countries citing papers authored by Samuel C. Kayman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel C. Kayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel C. Kayman. 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 Samuel C. Kayman. The network helps show where Samuel C. Kayman may publish in the future.

Co-authorship network of co-authors of Samuel C. Kayman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel C. Kayman. A scholar is included among the top collaborators of Samuel C. Kayman 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 Samuel C. Kayman. Samuel C. Kayman 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 80
2 46
3 71
4 96
5 206
6 0
7 47
8 47
9 58
10 122
11 68
12 12
13 73
14 76
15 10
16 63
17 35
18 102
19 26
20 18

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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