Uğur Şahin

69.9k total citations · 19 hit papers
341 papers, 23.0k citations indexed

About

Uğur Şahin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Uğur Şahin has authored 341 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Molecular Biology, 165 papers in Immunology and 101 papers in Oncology. Recurrent topics in Uğur Şahin's work include Immunotherapy and Immune Responses (133 papers), RNA Interference and Gene Delivery (67 papers) and Monoclonal and Polyclonal Antibodies Research (54 papers). Uğur Şahin is often cited by papers focused on Immunotherapy and Immune Responses (133 papers), RNA Interference and Gene Delivery (67 papers) and Monoclonal and Polyclonal Antibodies Research (54 papers). Uğur Şahin collaborates with scholars based in Germany, United States and United Kingdom. Uğur Şahin's co-authors include Özlem Türeci, Katalin Karikó, Michael Pfreundschuh, Sebastian Kreiter, Mustafa Diken, Christoph Huber, Michael Koslowski, Martin Löwer, Sebastian Boegel and Abderraouf Selmi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Uğur Şahin

330 papers receiving 22.5k citations

Hit Papers

mRNA-based therapeutics — develo... 1995 2026 2005 2015 2014 1997 2015 1995 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uğur Şahin Germany 72 12.9k 10.8k 6.4k 2.8k 2.8k 341 23.0k
Özlem Türeci Germany 54 8.7k 0.7× 7.4k 0.7× 4.4k 0.7× 1.5k 0.5× 1.9k 0.7× 181 15.0k
Kai W. Wucherpfennig United States 81 6.4k 0.5× 14.5k 1.3× 7.0k 1.1× 2.2k 0.8× 607 0.2× 203 23.9k
Francesco M. Marincola United States 84 9.5k 0.7× 15.3k 1.4× 12.2k 1.9× 1.1k 0.4× 907 0.3× 491 27.7k
Nina Bhardwaj United States 83 8.2k 0.6× 20.6k 1.9× 7.7k 1.2× 893 0.3× 1.4k 0.5× 332 27.6k
Thomas F. Gajewski United States 82 11.9k 0.9× 20.9k 1.9× 19.8k 3.1× 1.1k 0.4× 2.7k 1.0× 321 36.1k
Jerome Ritz United States 103 6.4k 0.5× 19.0k 1.8× 10.1k 1.6× 3.3k 1.2× 729 0.3× 610 36.4k
Jacques J. M. van Dongen Netherlands 86 7.6k 0.6× 9.4k 0.9× 4.9k 0.8× 1.5k 0.5× 721 0.3× 504 28.0k
Michael B. Brenner United States 103 9.9k 0.8× 27.8k 2.6× 5.7k 0.9× 2.9k 1.0× 3.2k 1.1× 295 40.8k
Mark Raffeld United States 90 6.6k 0.5× 7.8k 0.7× 14.1k 2.2× 932 0.3× 1.1k 0.4× 428 27.4k
Ton N. Schumacher Netherlands 83 9.7k 0.8× 22.7k 2.1× 17.9k 2.8× 2.0k 0.7× 806 0.3× 311 34.3k

Countries citing papers authored by Uğur Şahin

Since Specialization
Citations

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

Fields of papers citing papers by Uğur Şahin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uğur Şahin

This figure shows the co-authorship network connecting the top 25 collaborators of Uğur Şahin. A scholar is included among the top collaborators of Uğur Şahin 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 Uğur Şahin. Uğur Şahin 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.
2.
Schettini, Francesco, Silvana Saracchini, Serena Corsetti, et al.. (2024). Prediction of response to neoadjuvant chemotherapy by MammaTyper® across breast cancer subtypes: A retrospective cross-sectional study. The Breast. 76. 103753–103753. 1 indexed citations
3.
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
4.
Ioan‐Facsinay, Andreea, Andrea Imle, Lars Guelen, et al.. (2023). 1072P DuoBody-EpCAMx4-1BB mediates conditional T cell co-stimulation and promotes antitumor activity in preclinical models. Annals of Oncology. 34. S645–S646.
5.
Şahin, Uğur, Kelly Reeve, Alexander A. Navarini, et al.. (2022). HautTief Multidisciplinary Educational Program for Patients with Psoriasis or Atopic Dermatitis: A Randomized Controlled Study. Dermatology. 238(6). 1050–1059. 2 indexed citations
6.
Quandt, Jasmin, Alexander Muik, Bonny Gaby Lui, et al.. (2022). Omicron BA.1 breakthrough infection drives cross-variant neutralization and memory B cell formation against conserved epitopes. Science Immunology. 7(75). eabq2427–eabq2427. 111 indexed citations
7.
Liu, Jianying, Yang Liu, Hongjie Xia, et al.. (2021). BNT162b2-elicited neutralization of B.1.617 and other SARS-CoV-2 variants. Nature. 596(7871). 273–275. 212 indexed citations breakdown →
8.
Garralda, Elena, Ravit Geva, Eytan Ben‐Ami, et al.. (2020). 412 First-in-human phase I/IIa trial to evaluate the safety and initial clinical activity of DuoBody®-PD-L1×4–1BB (GEN1046) in patients with advanced solid tumors. SHILAP Revista de lepidopterología. A250.2–A251. 6 indexed citations
10.
Wirtz, Ralph M., Harri Sihto, Jorma Isola, et al.. (2016). Biological subtyping of early breast cancer: a study comparing RT-qPCR with immunohistochemistry. Breast Cancer Research and Treatment. 157(3). 437–446. 28 indexed citations
11.
Vormehr, Mathias, et al.. (2015). Mutanome directed cancer immunotherapy. Current Opinion in Immunology. 39. 14–22. 48 indexed citations
12.
Simon, Petra, Tana Omokoko, Andrea Breitkreuz, et al.. (2014). Functional TCR Retrieval from Single Antigen-Specific Human T Cells Reveals Multiple Novel Epitopes. Cancer Immunology Research. 2(12). 1230–1244. 32 indexed citations
13.
Diken, Mustafa, Sebastian Kreiter, Fulvia Vascotto, et al.. (2013). mTOR Inhibition Improves Antitumor Effects of Vaccination with Antigen-Encoding RNA. Cancer Immunology Research. 1(6). 386–392. 39 indexed citations
14.
Castle, John C., Sebastian Kreiter, Jan Diekmann, et al.. (2012). Exploiting the Mutanome for Tumor Vaccination. Cancer Research. 72(5). 1081–1091. 617 indexed citations breakdown →
15.
Kreiter, Sebastian, Mustafa Diken, Abderraouf Selmi, et al.. (2011). FLT3 Ligand Enhances the Cancer Therapeutic Potency of Naked RNA Vaccines. Cancer Research. 71(19). 6132–6142. 62 indexed citations
16.
Kreiter, Sebastian, Abderraouf Selmi, Mustafa Diken, et al.. (2010). Intranodal Vaccination with Naked Antigen-Encoding RNA Elicits Potent Prophylactic and Therapeutic Antitumoral Immunity. Cancer Research. 70(22). 9031–9040. 248 indexed citations
17.
Koslowski, Michael, Uğur Şahin, Karl Dhaene, Christoph Huber, & Özlem Türeci. (2008). MS4A12 Is a Colon-Selective Store-Operated Calcium Channel Promoting Malignant Cell Processes. Cancer Research. 68(9). 3458–3466. 54 indexed citations
18.
Koslowski, Michael, Uğur Şahin, Rita Mitnacht‐Kraus, et al.. (2007). A Placenta-Specific Gene Ectopically Activated in Many Human Cancers Is Essentially Involved in Malignant Cell Processes. Cancer Research. 67(19). 9528–9534. 84 indexed citations
19.
Wu, Jun, Gerd Helftenbein, Michael Koslowski, Uğur Şahin, & Özlem Türeci. (2006). Identification of new claudin family members by a novel PSI‐BLAST based approach with enhanced specificity. Proteins Structure Function and Bioinformatics. 65(4). 808–815. 18 indexed citations
20.
Koslowski, Michael, Gerhard Seitz, Hans‐Anton Lehr, et al.. (2004). Frequent Nonrandom Activation of Germ-Line Genes in Human Cancer. Cancer Research. 64(17). 5988–5993. 45 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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