Dan S. Kaufman

12.1k total citations · 4 hit papers
168 papers, 8.6k citations indexed

About

Dan S. Kaufman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Dan S. Kaufman has authored 168 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 74 papers in Immunology and 72 papers in Oncology. Recurrent topics in Dan S. Kaufman's work include Pluripotent Stem Cells Research (77 papers), CAR-T cell therapy research (67 papers) and Immune Cell Function and Interaction (66 papers). Dan S. Kaufman is often cited by papers focused on Pluripotent Stem Cells Research (77 papers), CAR-T cell therapy research (67 papers) and Immune Cell Function and Interaction (66 papers). Dan S. Kaufman collaborates with scholars based in United States, Sweden and Norway. Dan S. Kaufman's co-authors include James A. Thomson, David Hermanson, Jon S. Odorico, Ye Li, Branden S. Moriarity, David A. Knorr, Rachel L. Lewis, Robert Auerbach, Petter Woll and Xinghui Tian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Dan S. Kaufman

159 papers receiving 8.4k citations

Hit Papers

Human iPSC-Derived Natural... 2001 2026 2009 2017 2018 2001 2001 2014 200 400 600

Peers

Dan S. Kaufman
Comparison fields: 5 of 131
  • Molecular Biology 4.5k
  • Immunology 3.2k
  • Oncology 3.1k
  • Surgery 1.4k
  • Biomedical Engineering 1.0k
Replace Judith A. Varner with:
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Órit Kollet Israel
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Judith A. Varner United States View profile →
Citations per field, relative to Dan S. Kaufman
Dan S. Kaufman · 1×
Citations per year, relative to Dan S. Kaufman
Dan S. Kaufman · 1×

Countries citing papers authored by Dan S. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Dan S. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan S. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Dan S. Kaufman. A scholar is included among the top collaborators of Dan S. Kaufman 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 Dan S. Kaufman. Dan S. Kaufman 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 34
2 15
3 2
4 46
5 5
6 3
7 1
8 1
9 82
10 21
11 58
12
Abstract 16457: Transplantation of Human Induced Pluripotent Stem Cells Derived Cardiac Cells for Cardiac Repair
2
13 57
14 52
15 17
16 116
17 176
18 100
19 2
20
Reversible central nervous system toxicity associated with high-dose chlorambucil in autologous bone marrow transplantation for ovarian carcinoma.
4

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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