Thomas Bukur

2.5k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Thomas Bukur is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Thomas Bukur has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Thomas Bukur's work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers) and vaccines and immunoinformatics approaches (5 papers). Thomas Bukur is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers) and vaccines and immunoinformatics approaches (5 papers). Thomas Bukur collaborates with scholars based in Germany, United States and India. Thomas Bukur's co-authors include Uğur Şahin, Sebastian Boegel, Martin Löwer, Özlem Türeci, Mustafa Diken, John C. Castle, Sebastian Kreiter, Patrick Sorn, Valesca Boisguérin and Jos de Graaf and has published in prestigious journals such as Science, The Journal of Immunology and PLoS ONE.

In The Last Decade

Thomas Bukur

19 papers receiving 1.3k citations

Hit Papers

A noninflammatory mRNA vaccine for treatment of experimen... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Bukur Germany 12 751 646 445 139 124 21 1.4k
Mary A. Markiewicz United States 21 1.2k 1.6× 419 0.6× 451 1.0× 124 0.9× 134 1.1× 46 1.8k
Kevin Van der Jeught Belgium 16 489 0.7× 700 1.1× 536 1.2× 104 0.7× 97 0.8× 23 1.3k
Norma Bloy France 19 841 1.1× 483 0.7× 776 1.7× 87 0.6× 185 1.5× 39 1.5k
Guideng Li China 21 841 1.1× 947 1.5× 482 1.1× 137 1.0× 99 0.8× 43 1.8k
Indira Neeli United States 15 1.1k 1.5× 629 1.0× 258 0.6× 78 0.6× 199 1.6× 26 1.8k
Zhichen Sun China 19 838 1.1× 454 0.7× 648 1.5× 123 0.9× 75 0.6× 32 1.5k
Meng Wu China 12 463 0.6× 485 0.8× 513 1.2× 65 0.5× 130 1.0× 31 1.2k
Lawrence H. Cheung United States 26 587 0.8× 733 1.1× 326 0.7× 394 2.8× 112 0.9× 62 1.5k
Kimberly R. Jordan United States 22 834 1.1× 430 0.7× 741 1.7× 69 0.5× 59 0.5× 65 1.4k
Natalia Arenas-Ramirez Switzerland 12 541 0.7× 587 0.9× 464 1.0× 81 0.6× 77 0.6× 12 1.2k

Countries citing papers authored by Thomas Bukur

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bukur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Bukur

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Bukur. A scholar is included among the top collaborators of Thomas Bukur 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 Bukur. Thomas Bukur 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.
Kespohl, Meike, Kalimuthu Karuppanan, Philomena Mburu, et al.. (2025). Assessing customized multivalent chemokine-binding peptide treatment in a murine model of coxsackievirus B3 myocarditis. Basic Research in Cardiology. 120(2). 393–422.
2.
Krenzlin, Harald, Deepak Ailani, Thomas Bukur, et al.. (2025). Cytomegalovirus-induced oncomodulation drives immune escape in glioblastoma. Scientific Reports. 15(1). 25981–25981. 1 indexed citations
3.
Kespohl, Meike, Carl Christoph Goetzke, Nadine Althof, et al.. (2024). TF-FVIIa PAR2-β-Arrestin Signaling Sustains Organ Dysfunction in Coxsackievirus B3 Infection of Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 843–865. 1 indexed citations
5.
Bukur, Thomas, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2023). CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants. Viruses. 15(6). 1391–1391. 2 indexed citations
6.
KOLB, LAURA D., Thomas Bukur, Özlem Akilli‐Öztürk, et al.. (2021). A noninflammatory mRNA vaccine for treatment of experimental autoimmune encephalomyelitis. Science. 371(6525). 145–153. 324 indexed citations breakdown →
7.
Schrörs, Barbara, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2021). Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates. PLoS ONE. 16(9). e0249254–e0249254. 26 indexed citations
8.
Riesgo-Ferreiro, Pablo, Patrick Sorn, & Thomas Bukur. (2021). TRON-Bioinformatics/covigator-ngs-pipeline: Release v0.5.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Schrörs, Barbara, Sebastian Boegel, Christian Albrecht, et al.. (2020). Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model. Frontiers in Oncology. 10. 1195–1195. 141 indexed citations
10.
Podlech, Jürgen, et al.. (2020). Positive Role of the MHC Class-I Antigen Presentation Regulator m04/gp34 of Murine Cytomegalovirus in Antiviral Protection by CD8 T Cells. Frontiers in Cellular and Infection Microbiology. 10. 454–454. 7 indexed citations
11.
Schrörs, Barbara, et al.. (2020). Bioinformatics for Cancer Immunotherapy. Methods in molecular biology. 2120. 1–9. 42 indexed citations
12.
Grunwitz, Christian, Nadja Salomon, Fulvia Vascotto, et al.. (2019). HPV16 RNA-LPX vaccine mediates complete regression of aggressively growing HPV-positive mouse tumors and establishes protective T cell memory. OncoImmunology. 8(9). e1629259–e1629259. 75 indexed citations
13.
Boegel, Sebastian, Thomas Bukur, John C. Castle, & Uğur Şahin. (2018). In Silico Typing of Classical and Non-classical HLA Alleles from Standard RNA-Seq Reads. Methods in molecular biology. 1802. 177–191. 7 indexed citations
14.
Boegel, Sebastian, Martin Löwer, Thomas Bukur, et al.. (2018). HLA and proteasome expression body map. BMC Medical Genomics. 11(1). 36–36. 73 indexed citations
15.
Scholtalbers, Jelle, Sebastian Boegel, Thomas Bukur, et al.. (2015). TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression. Genome Medicine. 7(1). 118–118. 57 indexed citations
16.
Castle, John C., Martin Löewer, Sebastian Boegel, et al.. (2014). Immunomic, genomic and transcriptomic characterization of CT26 colorectal carcinoma. BMC Genomics. 15(1). 190–190. 280 indexed citations
17.
Boegel, Sebastian, Martin Löwer, Thomas Bukur, Uğur Şahin, & John C. Castle. (2014). A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines. OncoImmunology. 3(8). e954893–e954893. 79 indexed citations
18.
Bukur, Thomas, Valesca Boisguérin, Alexey A. Matskevich, et al.. (2014). Cell Contact–Dependent Priming and Fc Interaction with CD32+ Immune Cells Contribute to the TGN1412-Triggered Cytokine Response. The Journal of Immunology. 192(5). 2091–2098. 33 indexed citations
19.
Boegel, Sebastian, Martin Löwer, Michael K. E. Schäfer, et al.. (2012). HLA typing from RNA-Seq sequence reads. Genome Medicine. 4(12). 102–102. 170 indexed citations
20.
Schneider, Johannes J., Thomas Bukur, & Antje Krause. (2010). Traveling Salesman Problem with Clustering. Journal of Statistical Physics. 141(5). 767–784. 5 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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