Alan S. Perelson

1.2k citations
7 papers · 835 indexed · 1 hit paper · h-index 5
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)vaccines and immunoinformatics approaches (3 papers)T-cell and B-cell Immunology (3 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

Alan S. Perelson

6 papers receiving 795 citations

Hit Papers

Nonlinear dynamics of immunogenic tumors: Parameter estim...19942026200420151994200400600

Peers

Alan S. Perelson
Comparison fields: 5 of 84
  • Modeling and Simulation 548
  • Molecular Biology 335
  • Immunology 253
  • Oncology 245
  • Public Health, Environmental and Occupational Health 194
Replace Mark A. Taylor with:
Mark A. Taylor United Kingdom
Xiulan Lai China
Steffen E. Eikenberry United States
Urszula Foryś Poland
L. G. de Pillis United States
Yuri Kogan Israel
Morgan Craig Canada
Ami Radunskaya United States
Antonio Cappuccio France
Amina Eladdadi United States
Alan S. Perelson relative to Mark A. Taylor United Kingdom Mark A. Taylor's profile →
Citations per field
00.5×1.6×
Mark A. Taylor · 1×
Citations per year

Countries citing papers authored by Alan S. Perelson

Since Specialization
Citations

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

Fields of papers citing papers by Alan S. Perelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan S. Perelson

This figure shows the co-authorship network connecting the top 25 collaborators of Alan S. Perelson. A scholar is included among the top collaborators of Alan S. Perelson 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 Alan S. Perelson. Alan S. Perelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 7
3 1
4 11
5 33
6
Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysisbreakdown →
662
7 121

About Alan S. Perelson

Alan S. Perelson is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 7 papers that have together received 835 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), vaccines and immunoinformatics approaches (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Modeling and Simulation (548 citations), Immunology (253 citations) and Oncology (245 citations). Alan S. Perelson has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Vladimir A. Kuznetsov, Mark A. Taylor, Thomas B. Kepler, Ramit Mehr, Amiela Globerson, Daniel Goldman, Yaneer Bar‐Yam, Koichi Watashi, Yasuhito Tanaka and Kwang Su Kim. Their work appears in journals such as Frontiers in Immunology, Journal of Theoretical Biology and PLoS Computational Biology.

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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