Donald Küfe

50.4k citations
621 papers · 41.4k indexed · 5 hit papers · h-index 111

Impact in

  • Immunology top 0.05%
    • Immunotherapy and Immune Responses
  • Oncology top 0.05%
    • Cancer-related Molecular Pathways

Papers in

    • Chronic Myeloid Leukemia Treatments 39
    • Immunotherapy and Immune Responses 80

Donald Küfe

611 papers receiving 40.1k citations

Hit Papers

Mucins in cancer: function, prognosis and therapy 2009 · 1.1k citations
1.1k19842026199820122505007501000

Peers

Donald Küfe
Comparison fields: 5 of 167
  • Immunology 10.0k
  • Oncology 12.7k
  • Molecular Biology 27.8k
  • Cancer Research 5.5k
  • Hematology 4.0k
Replace Stuart A. Aaronson with:
Stuart A. Aaronson United States
Ettore Appella United States
Carlos Cordon‐Cardo United States
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Suzanne Cory Australia
Michael T. Lotze United States
Andreas Strasser Australia
Takashi Takahashi Japan
Guy S. Salvesen United States
David V. Goeddel United States
Donald Küfe relative to Stuart A. Aaronson United States Stuart A. Aaronson's profile →
Citations per field
00.5×1.5×2.5×
Stuart A. Aaronson · 1×
Citations per year

Countries citing papers authored by Donald Küfe

Since Specialization
Citations

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

Fields of papers citing papers by Donald Küfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202062
2 201947
3 201946
4 201933
5 2017183
6 201634
7 201528
8 201551
9 201424
10 201410
11 201457
12 201341
13 2012197
14 201121
15 2011144
16 2009125
17 200963
18 200733
19 200734
20 2005199

About Donald Küfe

Donald Küfe is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Cancer Research, having authored 621 papers that have together received 41.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (119 papers), Immunotherapy and Immune Responses (80 papers), Monoclonal and Polyclonal Antibodies Research (70 papers), Virus-based gene therapy research (52 papers), DNA Repair Mechanisms (48 papers), RNA modifications and cancer (41 papers), Cell death mechanisms and regulation (41 papers) and Chronic Myeloid Leukemia Treatments (39 papers). The work is most often cited by research in Immunology (10.0k citations), Oncology (12.7k citations), Molecular Biology (27.8k citations), Cancer Research (5.5k citations) and Hematology (4.0k citations). Donald Küfe has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Surender Kharbanda, Ralph R. Weichselbaum, Rakesh Datta, Pramod S. Pandey, Dongshu Chen, Dennis E. Hallahan, David R. Spriggs, Pierre Major, Hasan Rajabi and Rehan Ahmad. Their work appears in journals such as Journal of Biological Chemistry, Blood, Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

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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2026