Stephen E. Kurtz

6.6k citations
79 papers · 3.3k indexed · h-index 25
  • Aging top 2%
  • Dermatology top 0.5%
    • Dermatology and Skin Diseases 6
  • Immunology top 2%
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 21
    • Chronic Myeloid Leukemia Treatments 12
    • Multiple Myeloma Research and Treatments 5
    • Protein Degradation and Inhibitors 11
    • Chronic Lymphocytic Leukemia Research 7
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
    • CAR-T cell therapy research 6

Stephen E. Kurtz

72 papers receiving 3.2k citations

Peers

Stephen E. Kurtz
Comparison fields: 5 of 124
  • Aging 125
  • Dermatology 558
  • Immunology 1.3k
  • Hematology 400
  • Molecular Biology 1.5k
Replace Jane Goodall with:
Jane Goodall United Kingdom
Gavin F. Painter New Zealand
Winnie W. Wong United States
Judith A. Lippke United States
Barry P. Sleckman United States
Avery August United States
Laurent Genestier France
Susan Wong United States
Isao Hamaguchi Japan
Paul D. Kaufman United States
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Citations per field
00.5×
Jane Goodall · 1×
Citations per year

Countries citing papers authored by Stephen E. Kurtz

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Kurtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Kurtz. 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 Stephen E. Kurtz. The network helps show where Stephen E. Kurtz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20240
4 202312
5 20226
6 20226
7 202215
8 202134
9 202016
10 2019222
11 201823
12 20175
13 20165
14 2009416
15 20099
16 200926
17 200548
18 200551
19 20038
20 199558

About Stephen E. Kurtz

Stephen E. Kurtz is a scholar working on Hematology, Genetics and Immunology, having authored 79 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (12 papers), Protein Degradation and Inhibitors (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), CAR-T cell therapy research (6 papers), Dermatology and Skin Diseases (6 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Aging (125 citations), Dermatology (558 citations) and Immunology (1.3k citations). Stephen E. Kurtz has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andrew Blauvelt, David Shore, Arthur J. Lustig, Susan Lindquist, Shinji Kagami, J M Rossi, S Lindquist, Changsheng Guo, Mihail S. Iordanov and David E. Purdy. Their work appears in journals such as Blood, Journal of Investigative Dermatology, Leukemia, The Journal of Immunology and Clinical Cancer Research.

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