Ulrike Koehl

10.3k citations
155 papers · 5.6k indexed · h-index 45
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 73
    • T-cell and B-cell Immunology 43
    • Immunotherapy and Immune Responses 14
  • Oncology top 0.5%
    • CAR-T cell therapy research 63
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation 36
  • Genetics top 2%
    • Virus-based gene therapy research 17
  • Genetics top 2%
    • Virus-based gene therapy research 17
    • Cytomegalovirus and herpesvirus research 12
    • Fungal Infections and Studies 11

Ulrike Koehl

149 papers receiving 5.5k citations

Peers

Ulrike Koehl
Comparison fields: 5 of 123
  • Immunology 3.0k
  • Oncology 2.9k
  • Hematology 1.1k
  • Genetics 423
  • Genetics 757
Replace Marco W. Schilham with:
Marco W. Schilham Netherlands
Mirjam H.M. Heemskerk Netherlands
Krishna V. Komanduri United States
Matthew Collin United Kingdom
Toshio Heike Japan
Yolanda D. Mahnke United States
Fabio Candotti United States
Sylvain Latour France
Makoto Kurachi Japan
Joanna R. Groom Australia
Ulrike Koehl relative to Marco W. Schilham Netherlands Marco W. Schilham's profile →
Citations per field
00.5×2.6×
Marco W. Schilham · 1×
Citations per year

Countries citing papers authored by Ulrike Koehl

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Koehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20244
6 202350
7 202317
8 20234
9 202313
10 202315
11 202227
12 20212
13 201938
14 201944
15 2017111
16 201715
17 201240
18 2010116
19 200721
20 20035

About Ulrike Koehl

Ulrike Koehl is a scholar working on Immunology, Hematology and Oncology, having authored 155 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (73 papers), CAR-T cell therapy research (63 papers), T-cell and B-cell Immunology (43 papers), Hematopoietic Stem Cell Transplantation (36 papers), Virus-based gene therapy research (17 papers), Immunotherapy and Immune Responses (14 papers), Cytomegalovirus and herpesvirus research (12 papers) and Fungal Infections and Studies (11 papers). The work is most often cited by research in Immunology (3.0k citations), Oncology (2.9k citations) and Hematology (1.1k citations). Ulrike Koehl has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas Klingebiel, Ruth Esser, Dirk Schwabe, Stephan Kloeß, Torsten Tonn, Thomas Lehrnbecher, Sabine Huenecke, Manuel Grez, Stefanie Zimmermann and Stephan Fricke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

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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