Bertolt Kreft

2.4k citations
39 papers · 1.7k · h-index 13

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 4
    • HER2/EGFR in Cancer Research 3
    • Fibroblast Growth Factor Research 4
    • Wnt/β-catenin signaling in development and cancer 3

Bertolt Kreft

39 papers receiving 1.7k citations

Peers

Bertolt Kreft
Comparison fields: 5 of 93
  • Cell Biology 361
  • Immunology and Allergy 104
  • Oncology 407
  • Molecular Biology 971
  • Immunology 236
Replace Sheila Harroch with:
Sheila Harroch France
Steven Swendeman United States
Shari L. Sutor United States
Pamela Das United States
Persio Dello Sbarba Italy
Giuseppe Lamorte Italy
Tara Karnezis Australia
Jorge Martı́n-Pérez Spain
Marie‐May Coissieux France
Reinhard Wetzker Germany
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Citations per field
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Citations per year

Countries citing papers authored by Bertolt Kreft

Since Specialization
Citations

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

Fields of papers citing papers by Bertolt Kreft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000492
2 2001413
3 2014199
4 1994163
5 200598
6 201686
7 199783
8 199433
9 200532
10 201420
11 201913
12 201713
13 201913
14 199811
15 200711
16 20169
17 20249
18 20207
19 20115
20 20194

About Bertolt Kreft

Bertolt Kreft is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology and Immunology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Research and Treatments (5 papers), Microtubule and mitosis dynamics (4 papers), Fibroblast Growth Factor Research (4 papers), CAR-T cell therapy research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), HER2/EGFR in Cancer Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cell Biology (361 citations), Immunology and Allergy (104 citations), Oncology (407 citations), Molecular Biology (971 citations) and Immunology (236 citations). Bertolt Kreft has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Keith Burridge, Nicole Noren Hooten, Betty P. Liu, Jörn Krätzschmar, Olivier Kassel, Michael Stassen, Andrew C.B. Cato, Hans‐Dieter Pohlenz, R Tauber and Reinhard Geßner. Their work appears in journals such as Cancer Research, The Journal of Cell Biology, Molecular Cancer Therapeutics, Cancer Immunology Research and Hematological Oncology.

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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