Thomas Herrmann

5.4k total citations
109 papers, 4.2k citations indexed

About

Thomas Herrmann is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas Herrmann has authored 109 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Immunology, 19 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas Herrmann's work include Immune Cell Function and Interaction (64 papers), T-cell and B-cell Immunology (58 papers) and Immunotherapy and Immune Responses (30 papers). Thomas Herrmann is often cited by papers focused on Immune Cell Function and Interaction (64 papers), T-cell and B-cell Immunology (58 papers) and Immunotherapy and Immune Responses (30 papers). Thomas Herrmann collaborates with scholars based in Germany, United States and Switzerland. Thomas Herrmann's co-authors include H. Robson MacDonald, Mohindar Murugesh Karunakaran, Volker Kunzmann, Michael Sendtner, Bladimiro Rincón‐Orozco, Tibor Diamantstein, Shin Yonehara, Anneliese Schimpl, Burkhard Kneitz and Jianqiang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Thomas Herrmann

109 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Herrmann Germany 37 2.5k 937 745 506 247 109 4.2k
James C. Ryan United States 35 2.7k 1.1× 1.3k 1.4× 541 0.7× 88 0.2× 192 0.8× 102 4.9k
Maureen A. Su United States 28 1.6k 0.6× 705 0.8× 502 0.7× 394 0.8× 965 3.9× 58 4.5k
Kazuhiro Kawai Japan 29 2.3k 0.9× 512 0.5× 472 0.6× 221 0.4× 48 0.2× 113 3.6k
Angelo A. Ucci United States 29 816 0.3× 841 0.9× 435 0.6× 352 0.7× 72 0.3× 75 3.2k
Jon Frampton United Kingdom 40 2.3k 0.9× 3.0k 3.2× 723 1.0× 138 0.3× 558 2.3× 100 7.4k
Jean Imbert France 31 1.5k 0.6× 1.5k 1.6× 624 0.8× 91 0.2× 108 0.4× 118 3.5k
Zou Xiang China 38 1.4k 0.6× 2.0k 2.1× 302 0.4× 142 0.3× 219 0.9× 138 4.8k
Michael McMaster United States 38 4.0k 1.6× 1.6k 1.7× 334 0.4× 313 0.6× 157 0.6× 61 7.3k
Chen Zhao China 33 662 0.3× 2.5k 2.7× 901 1.2× 249 0.5× 253 1.0× 96 4.7k
Charles T. Lutz United States 37 1.7k 0.7× 1.0k 1.1× 611 0.8× 53 0.1× 104 0.4× 109 4.1k

Countries citing papers authored by Thomas Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Herrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Herrmann. A scholar is included among the top collaborators of Thomas Herrmann 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 Thomas Herrmann. Thomas Herrmann 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
1.
Herrmann, Thomas & Mohindar Murugesh Karunakaran. (2024). Phosphoantigen recognition by Vγ9Vδ2 T cells. European Journal of Immunology. 54(11). e2451068–e2451068. 15 indexed citations
2.
Cano, Carla E., Christine L. Pasero, Aude De Gassart, et al.. (2021). BTN2A1, an immune checkpoint targeting Vγ9Vδ2 T cell cytotoxicity against malignant cells. Cell Reports. 36(2). 109359–109359. 57 indexed citations
3.
4.
Fichtner, Alina Suzann, et al.. (2015). Species Specific Differences of CD1d Oligomer Loading In Vitro. PLoS ONE. 10(11). e0143449–e0143449. 3 indexed citations
5.
Karunakaran, Mohindar Murugesh, Thomas Göbel, Lisa Starick, Lutz Walter, & Thomas Herrmann. (2014). Vγ9 and Vδ2 T cell antigen receptor genes and butyrophilin 3 (BTN3) emerged with placental mammals and are concomitantly preserved in selected species like alpaca (Vicugna pacos). Immunogenetics. 66(4). 243–254. 55 indexed citations
6.
Karunakaran, Mohindar Murugesh & Thomas Herrmann. (2014). The Vγ9Vδ2 T Cell Antigen Receptor and Butyrophilin-3 A1: Models of Interaction, the Possibility of Co-Evolution, and the Case of Dendritic Epidermal T Cells. Frontiers in Immunology. 5. 648–648. 37 indexed citations
7.
Beyersdorf, Niklas, Henrike J. Fischer, Marco J. Herold, et al.. (2013). CD8+ T cell help is required for efficient induction of EAE in Lewis rats. Journal of Neuroimmunology. 260(1-2). 17–27. 16 indexed citations
8.
Harly, Christelle, Yves Claude Guillaume, Steven Nédellec, et al.. (2012). Key implication of CD277/butyrophilin-3 (BTN3A) in cellular stress sensing by a major human γδ T-cell subset. Blood. 120(11). 2269–2279. 417 indexed citations
9.
Sjödin, Andreas, Olaf Päpke, Ernest McGahee, et al.. (2008). Concentration of polybrominated diphenyl ethers (PBDEs) in household dust from various countries. Chemosphere. 73(1). S131–S136. 182 indexed citations
10.
Karaüzüm, Hatice, Elisa Monzón‐Casanova, Ronald Rudolf, et al.. (2008). Superantigen‐presentation by rat major histocompatibility complex class II molecules RT1.Bl and RT1.Dl. Immunology. 128(1pt2). e572–81. 3 indexed citations
11.
Elsner, Leslie, Vijayakumar Muppala, Mathias Gehrmann, et al.. (2007). The Heat Shock Protein HSP70 Promotes Mouse NK Cell Activity against Tumors That Express Inducible NKG2D Ligands. The Journal of Immunology. 179(8). 5523–5533. 122 indexed citations
12.
Herrmann, Thomas, et al.. (2007). Site-specific interaction of the murine pre-replicative complex with origin DNA: assembly and disassembly during cell cycle transit and differentiation. Nucleic Acids Research. 35(20). 6701–6713. 11 indexed citations
13.
Pyż, Elwira, Olga V. Naidenko, Sachiko Miyake, et al.. (2006). The Complementarity Determining Region 2 of BV8S2 (Vβ8.2) Contributes to Antigen Recognition by Rat Invariant NKT Cell TCR. The Journal of Immunology. 176(12). 7447–7455. 31 indexed citations
14.
15.
Rincón‐Orozco, Bladimiro, et al.. (2005). Activation of Vγ9Vδ2 T Cells by NKG2D. The Journal of Immunology. 175(4). 2144–2151. 256 indexed citations
16.
Straube, Frank & Thomas Herrmann. (2001). Differential modulation of CD8β by rat γδ and αβ T cells after activation. Immunology. 104(3). 252–258. 6 indexed citations
17.
18.
19.
Herrmann, Thomas, Rosemary K. Lees, H. Robson MacDonald, & Selene Baschieri. (1992). In vivo responses of CD4+ and CD8+ cells to bacterial superantigens. European Journal of Immunology. 22(7). 1935–1938. 101 indexed citations
20.
Herrmann, Thomas, et al.. (1988). Demonstration of two distinct forms of released low‐affinity type interleukin 2 receptors. European Journal of Immunology. 18(11). 1855–1858. 33 indexed citations

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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