Bertram Bengsch

15.7k total citations · 3 hit papers
73 papers, 4.9k citations indexed

About

Bertram Bengsch is a scholar working on Immunology, Hepatology and Epidemiology. According to data from OpenAlex, Bertram Bengsch has authored 73 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 22 papers in Hepatology and 21 papers in Epidemiology. Recurrent topics in Bertram Bengsch's work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (13 papers). Bertram Bengsch is often cited by papers focused on Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (13 papers). Bertram Bengsch collaborates with scholars based in Germany, United States and United Kingdom. Bertram Bengsch's co-authors include Robert Thimme, E. John Wherry, Hubert E. Blum, Makoto Kurachi, Kristen E. Pauken, Pamela M. Odorizzi, Bianca Martin, Erietta Stelekati, Bianca Seigel and Sasikanth Manne and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Bertram Bengsch

69 papers receiving 4.9k citations

Hit Papers

Epigenetic stability of exhausted T cells limits durab... 2010 2026 2015 2020 2016 2016 2010 250 500 750

Peers

Bertram Bengsch
Comparison fields: 5 of 104
  • Immunology 3.3k
  • Oncology 1.5k
  • Epidemiology 1.1k
  • Hepatology 872
  • Molecular Biology 749
Replace Ming Shi with:
Ming Shi China
Pablo Sarobe Spain
Olivia M. Martinez United States
Sheri M. Krams United States
Andreas Limmer Germany
Michael Geißler Germany
Dietmar Zehn Germany
Bogumila T. Konieczny United States
Paolo Dellabona Italy
Tetsu Kawano Japan
Ming Shi China View profile →
Citations per field, relative to Bertram Bengsch
Bertram Bengsch · 1×
Citations per year, relative to Bertram Bengsch
Bertram Bengsch · 1×

Countries citing papers authored by Bertram Bengsch

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Bengsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertram Bengsch

This figure shows the co-authorship network connecting the top 25 collaborators of Bertram Bengsch. A scholar is included among the top collaborators of Bertram Bengsch 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 Bertram Bengsch. Bertram Bengsch 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 3
2 0
3 24
4 2
5 0
6 3
7 42
8 5
9 2
10 92
11 20
12 3
13 33
14 29
15 5
16 23
17 55
18 42
19 107
20
Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade breakdown →
900

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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