Adam S. Chervin

1.2k total citations
28 papers, 951 citations indexed

About

Adam S. Chervin is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam S. Chervin has authored 28 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 17 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam S. Chervin's work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (13 papers). Adam S. Chervin is often cited by papers focused on CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (13 papers). Adam S. Chervin collaborates with scholars based in United States, Netherlands and Italy. Adam S. Chervin's co-authors include David M. Kranz, Jennifer D. Stone, Ann Marie Craig, Daniel W. Allison, Vladimir I. Gelfand, David H. Aggen, Boris Engels, Jing An, Howard S. Ducoff and Ziwei Huang and has published in prestigious journals such as Journal of Neuroscience, Blood and The Journal of Immunology.

In The Last Decade

Adam S. Chervin

25 papers receiving 936 citations

Peers

Adam S. Chervin
Comparison fields: 5 of 75
  • Immunology 482
  • Oncology 449
  • Molecular Biology 331
  • Cellular and Molecular Neuroscience 162
  • Radiology, Nuclear Medicine and Imaging 156
Replace Dennis Verzijl with:
Dennis Verzijl Netherlands
Michael D. Sjaastad United States
Zhi-jie Jey Cheng United States
Anand Radhakrishnan United Kingdom
V. Kaye Thomas United States
Kerry Tedford Germany
Lavanya Rajagopalan United States
Diana Gil United States
Patricia W. Tynan United Kingdom
Carsten Brock Germany
Dennis Verzijl Netherlands View profile →
Citations per field, relative to Adam S. Chervin
Adam S. Chervin · 1×
Citations per year, relative to Adam S. Chervin
Adam S. Chervin · 1×

Countries citing papers authored by Adam S. Chervin

Since Specialization
Citations

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

Fields of papers citing papers by Adam S. Chervin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam S. Chervin

This figure shows the co-authorship network connecting the top 25 collaborators of Adam S. Chervin. A scholar is included among the top collaborators of Adam S. Chervin 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 Adam S. Chervin. Adam S. Chervin 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 0
2 7
3 2
4 5
5 34
6 18
7 6
8 18
9 21
10 36
11
Interaction of Streptavidin-Based Peptide-MHC Oligomers (Tetramers) with Cell-Surface T Cell Receptors
1
12 42
13 37
14 60
15 10
16 49
17 277
18 4
19 84
20 193

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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