Ulrich Keilholz

25.4k total citations · 2 hit papers
477 papers, 15.5k citations indexed

About

Ulrich Keilholz is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ulrich Keilholz has authored 477 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 301 papers in Oncology, 169 papers in Molecular Biology and 145 papers in Immunology. Recurrent topics in Ulrich Keilholz's work include Immunotherapy and Immune Responses (126 papers), Cutaneous Melanoma Detection and Management (65 papers) and Lung Cancer Treatments and Mutations (60 papers). Ulrich Keilholz is often cited by papers focused on Immunotherapy and Immune Responses (126 papers), Cutaneous Melanoma Detection and Management (65 papers) and Lung Cancer Treatments and Mutations (60 papers). Ulrich Keilholz collaborates with scholars based in Germany, United States and France. Ulrich Keilholz's co-authors include Carmen Scheibenbogen, Alexander Schmittel, Eckhard Thiel, Reinhard Dummer, Axel Hauschild, Alexander M.M. Eggermont, Anne Letsch, Stefan Suciu, Dirk Schadendorf and Claus Garbe and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ulrich Keilholz

454 papers receiving 15.2k citations

Hit Papers

Cutaneous melanoma: ESMO Clinical Practice Guidelines for... 2019 2026 2021 2023 2019 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrich Keilholz Germany 65 9.2k 6.1k 5.8k 2.2k 1.8k 477 15.5k
Grant A. McArthur Australia 74 15.0k 1.6× 15.2k 2.5× 3.8k 0.7× 5.4k 2.5× 3.1k 1.8× 395 26.8k
Michele Maio Italy 66 11.4k 1.2× 7.3k 1.2× 6.9k 1.2× 3.3k 1.5× 1.8k 1.0× 376 18.5k
Michael Hummel Germany 73 7.6k 0.8× 3.6k 0.6× 4.0k 0.7× 1.2k 0.6× 1.8k 1.0× 461 18.5k
Sanjiv S. Agarwala United States 48 6.1k 0.7× 4.2k 0.7× 2.5k 0.4× 1.9k 0.9× 675 0.4× 209 9.7k
John B.A.G. Haanen Netherlands 72 13.9k 1.5× 6.8k 1.1× 10.8k 1.9× 4.6k 2.1× 2.0k 1.2× 429 23.8k
Víctor G. Prieto United States 65 8.8k 1.0× 4.8k 0.8× 2.1k 0.4× 2.1k 1.0× 1.5k 0.8× 556 16.0k
Gavin P. Dunn United States 45 8.4k 0.9× 4.2k 0.7× 8.9k 1.6× 1.8k 0.8× 1.9k 1.1× 136 16.4k
Achim A. Jungbluth United States 76 10.1k 1.1× 7.8k 1.3× 9.9k 1.7× 3.6k 1.7× 1.7k 1.0× 285 20.9k
Rosemarie Mick United States 72 6.2k 0.7× 3.5k 0.6× 3.2k 0.6× 2.6k 1.2× 2.1k 1.2× 265 14.4k
Paolo A. Ascierto Italy 75 18.1k 2.0× 11.4k 1.9× 7.1k 1.2× 3.5k 1.6× 2.5k 1.4× 757 25.2k

Countries citing papers authored by Ulrich Keilholz

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Keilholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Keilholz

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Keilholz. A scholar is included among the top collaborators of Ulrich Keilholz 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 Ulrich Keilholz. Ulrich Keilholz 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
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Eich, Marie‐Lisa, Georg Hilfenhaus, Bernhard Ralla, et al.. (2024). Solitary fibrous tumor of the prostate with accompanying low-grade prostate cancer. Urology Case Reports. 57. 102879–102879.
4.
Schmal, Christoph, Sébastien De Landtsheer, Anna‐Marie Finger, et al.. (2024). Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping. Nature Communications. 15(1). 7205–7205. 10 indexed citations
5.
Rieke, Damian, Manuela Benary, Peter Horak, et al.. (2023). Tumor mutational burden as a predictive biomarker for molecularly matched therapy in two independent pan-cancer cohorts.. Journal of Clinical Oncology. 41(16_suppl). 3066–3066. 1 indexed citations
7.
Neumann, Christopher, F Schneider, Georg Hilfenhaus, et al.. (2023). Inflammation-Based Prognostic Scores in Pancreatic Cancer Patients—A Single-Center Analysis of 1294 Patients within the Last Decade. Cancers. 15(8). 2367–2367. 11 indexed citations
8.
Neumann, Christopher, F Schneider, Georg Hilfenhaus, et al.. (2023). Impact of Smoking, Body Weight, Diabetes, Hypertension and Kidney Dysfunction on Survival in Pancreatic Cancer Patients—A Single Center Analysis of 2323 Patients within the Last Decade. Journal of Clinical Medicine. 12(11). 3656–3656. 5 indexed citations
9.
Steffen, Claudius, Simon Schallenberg, Mihnea P. Dragomir, et al.. (2023). Spatial heterogeneity of tumor cells and the tissue microenvironment in oral squamous cell carcinoma. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 137(4). 379–390. 2 indexed citations
10.
Sachse, Christoph, Susen Burock, Ulrich Keilholz, et al.. (2022). Combinatorial treatment with statins and niclosamide prevents CRC dissemination by unhinging the MACC1-β-catenin-S100A4 axis of metastasis. Oncogene. 41(39). 4446–4458. 18 indexed citations
11.
Liebs, Sandra, Frederick Klauschen, Moritz Schütte, et al.. (2021). Applicability of liquid biopsies to represent the mutational profile of tumor tissue from different cancer entities. Oncogene. 40(33). 5204–5212. 26 indexed citations
12.
Klinghammer, Konrad, Jan-Dirk Raguse, Andreas E. Albers, et al.. (2017). Basal subtype is predictive for response to cetuximab treatment in patient-derived xenografts of squamous cell head and neck cancer. International Journal of Cancer. 141(6). 1215–1221. 25 indexed citations
13.
Bonner, James A., Ricard Mesı́a, J. Giralt, et al.. (2017). p16, HPV, and Cetuximab: What Is the Evidence?. The Oncologist. 22(7). 811–822. 17 indexed citations
14.
Eggermont, Alexander M.M., Stefan Suciu, Alessandro Testori, et al.. (2012). Long-Term Results of the Randomized Phase III Trial EORTC 18991 of Adjuvant Therapy With Pegylated Interferon Alfa-2b Versus Observation in Resected Stage III Melanoma. Journal of Clinical Oncology. 30(31). 3810–3818. 190 indexed citations
15.
Tinhofer, Ingeborg, Konrad Klinghammer, Wilko Weichert, et al.. (2011). Expression of Amphiregulin and EGFRvIII Affect Outcome of Patients with Squamous Cell Carcinoma of the Head and Neck Receiving Cetuximab–Docetaxel Treatment. Clinical Cancer Research. 17(15). 5197–5204. 76 indexed citations
16.
Frey, Dietmar, Vânia Coelho, Ulf Petrausch, et al.. (2008). Surface Expression of gpA33 is Dependent on Culture Density and Cell-Cycle Phase and is Regulated by Intracellular Traffic Rather than Gene Transcription. Cancer Biotherapy and Radiopharmaceuticals. 23(1). 65–73. 6 indexed citations
17.
Vantomme, Valérie, Dirk Gheysen, Claudine Bruck, et al.. (2004). Immunologic Analysis of a Phase I/II Study of Vaccination with MAGE-3 Protein Combined with the AS02B Adjuvant in Patients with MAGE-3-Positive Tumors. Journal of Immunotherapy. 27(2). 124–135. 70 indexed citations
18.
Keilholz, Ulrich, Jeffrey S. Weber, James H. Finke, et al.. (2002). Immunologic Monitoring of Cancer Vaccine Therapy: Results of a Workshop Sponsored by the Society for Biological Therapy. Journal of Immunotherapy. 25(2). 97–138. 235 indexed citations
19.
Max, Nicole, et al.. (2001). Nested Quantitative Real Time PCR for Detection of Occult Tumor Cells. Recent results in cancer research. 158. 25–31. 15 indexed citations
20.
Nagorsen, Dirk, Ulrich Keilholz, Licia Rivoltini, et al.. (2000). Natural T-cell response against MHC class I epitopes of epithelial cell adhesion molecule, her-2/neu, and carcinoembryonic antigen in patients with colorectal cancer.. PubMed. 60(17). 4850–4. 108 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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