Daniel Bethmann

1.3k total citations
28 papers, 450 citations indexed

About

Daniel Bethmann is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Daniel Bethmann has authored 28 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Daniel Bethmann's work include Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Cells and Metastasis (4 papers). Daniel Bethmann is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Cells and Metastasis (4 papers). Daniel Bethmann collaborates with scholars based in Germany, United States and Austria. Daniel Bethmann's co-authors include Claudia Wickenhauser, Bernard A. Fox, Zipei Feng, Barbara Seliger, Matthias Kappler, Chiara Massa, Alexander W. Eckert, Carlo Bifulco, Alexander Eckert and Carmen Ballesteros‐Merino and has published in prestigious journals such as Oncogene, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Daniel Bethmann

26 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Bethmann Germany 14 241 163 154 101 54 28 450
Tatiana S. Gerashchenko Russia 12 226 0.9× 188 1.2× 125 0.8× 160 1.6× 92 1.7× 37 502
Myrto Moutafi United States 12 311 1.3× 172 1.1× 98 0.6× 103 1.0× 121 2.2× 34 519
Qimin Zhou China 16 242 1.0× 310 1.9× 79 0.5× 116 1.1× 92 1.7× 26 575
Ailan Cheng China 12 128 0.5× 361 2.2× 81 0.5× 134 1.3× 51 0.9× 28 493
Ana Lako United States 10 258 1.1× 266 1.6× 171 1.1× 120 1.2× 54 1.0× 17 573
Margaret H. Veldman-Jones United Kingdom 8 200 0.8× 358 2.2× 102 0.7× 146 1.4× 72 1.3× 11 642
Erwin Tomasich Austria 13 179 0.7× 336 2.1× 72 0.5× 187 1.9× 120 2.2× 31 547
Camille Franchet France 12 246 1.0× 200 1.2× 148 1.0× 108 1.1× 72 1.3× 33 529
Dian-na Gu China 12 151 0.6× 306 1.9× 70 0.5× 282 2.8× 72 1.3× 27 516
Yeben Qian China 7 129 0.5× 250 1.5× 192 1.2× 142 1.4× 96 1.8× 13 539

Countries citing papers authored by Daniel Bethmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bethmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bethmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bethmann. A scholar is included among the top collaborators of Daniel Bethmann 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 Daniel Bethmann. Daniel Bethmann 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.
Niederstraßer, Olaf, et al.. (2024). Rare intravascular large B-cell lymphoma (IVLBCL) can cause atypical intracerebral haemorrhage and mislead diagnostics. BMJ Case Reports. 17(9). e260498–e260498.
2.
Bethmann, Daniel, et al.. (2023). Konkremente des Tränenapparates. Laryngo-Rhino-Otologie. 103(3). 187–195.
3.
Bethmann, Daniel, et al.. (2023). Concrements of the Lacrimal Apparatus. Klinische Monatsblätter für Augenheilkunde. 240(1). 44–52. 1 indexed citations
4.
Massa, Chiara, et al.. (2022). Biglycan as a potential regulator of tumorgenicity and immunogenicity in K-RAS-transformed cells. OncoImmunology. 11(1). 2069214–2069214. 7 indexed citations
5.
Bethmann, Daniel, Tilmann Lantzsch, Christoph Uleer, et al.. (2022). Prognostic Value of Tumour-Infiltrating Lymphocytes in an Unselected Cohort of Breast Cancer Patients. Diagnostics. 12(10). 2527–2527. 3 indexed citations
6.
7.
Wickenhauser, Claudia, Daniel Bethmann, Matthias Kappler, et al.. (2021). Tumor Microenvironment, HLA Class I and APM Expression in HPV-Negative Oral Squamous Cell Carcinoma. Cancers. 13(4). 620–620. 15 indexed citations
8.
Staege, Martin S., Volker Hanf, Tilmann Lantzsch, et al.. (2021). Identifying High-Risk Triple-Negative Breast Cancer Patients by Molecular Subtyping. Breast Care. 16(6). 637–647. 13 indexed citations
9.
Berdiel‐Acer, Mireia, Ana Maia, Simone Borgoni, et al.. (2021). Stromal NRG1 in luminal breast cancer defines pro-fibrotic and migratory cancer-associated fibroblasts. Oncogene. 40(15). 2651–2666. 16 indexed citations
10.
11.
Seliger, Barbara, Chiara Massa, Bo Yang, et al.. (2020). Immune Escape Mechanisms and Their Clinical Relevance in Head and Neck Squamous Cell Carcinoma. International Journal of Molecular Sciences. 21(19). 7032–7032. 32 indexed citations
12.
Eckert, Alexander W., Daniel Bethmann, Johanna Kotrba, et al.. (2019). Investigation of the Prognostic Role of Carbonic Anhydrase 9 (CAIX) of the Cellular mRNA/Protein Level or Soluble CAIX Protein in Patients with Oral Squamous Cell Carcinoma. International Journal of Molecular Sciences. 20(2). 375–375. 20 indexed citations
13.
Wickenhauser, Claudia, Daniel Bethmann, Zipei Feng, et al.. (2019). Multispectral Fluorescence Imaging Allows for Distinctive Topographic Assessment and Subclassification of Tumor-Infiltrating and Surrounding Immune Cells. Methods in molecular biology. 1913. 13–31. 13 indexed citations
14.
Kuhlmann, Jan Dominik, Hagen S. Bachmann, Theresa Link, et al.. (2019). Association of caspase 8 polymorphisms -652 6N InsDel and Asp302His with progression-free survival and tumor infiltrating lymphocytes in early breast cancer. Scientific Reports. 9(1). 12594–12594. 4 indexed citations
15.
Bauer, Marcus, Christoforos Vaxevanis, Daniel Bethmann, et al.. (2019). Multiplex immunohistochemistry as a novel tool for the topographic assessment of the bone marrow stem cell niche. Methods in enzymology on CD-ROM/Methods in enzymology. 635. 67–79. 7 indexed citations
16.
Rot, Swetlana, Helge Täubert, Thomas Greither, et al.. (2019). Prognostic impact of mRNA levels of LGR5 transcript variants in OSCC patients. BMC Cancer. 19(1). 12 indexed citations
17.
Feng, Zipei, Daniel Bethmann, Matthias Kappler, et al.. (2017). Multiparametric immune profiling in HPV– oral squamous cell cancer. JCI Insight. 2(14). 134 indexed citations
18.
Kappler, Matthias, Johanna Kotrba, Matthias Bache, et al.. (2017). P4HA1: A single-gene surrogate of hypoxia signatures in oral squamous cell carcinoma patients. Clinical and Translational Radiation Oncology. 5. 6–11. 26 indexed citations
19.
Schreier, Barbara, Gerald Schwerdt, Daniel Bethmann, et al.. (2016). Substance-specific importance of EGFR for vascular smooth muscle cells motility in primary culture. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(7). 1519–1533. 18 indexed citations
20.
Heichel, Jens, A. Sandner, Udo Siebolts, Daniel Bethmann, & H . - G . Struck. (2016). Konkremente und iatrogene Fremdkörper der ableitenden Tränenwege. HNO. 64(6). 403–416. 16 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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