Gerhard Dyckhoff

2.8k total citations
66 papers, 1.9k citations indexed

About

Gerhard Dyckhoff is a scholar working on Molecular Biology, Oncology and Otorhinolaryngology. According to data from OpenAlex, Gerhard Dyckhoff has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 26 papers in Oncology and 20 papers in Otorhinolaryngology. Recurrent topics in Gerhard Dyckhoff's work include Head and Neck Cancer Studies (19 papers), RNA modifications and cancer (8 papers) and Ear and Head Tumors (6 papers). Gerhard Dyckhoff is often cited by papers focused on Head and Neck Cancer Studies (19 papers), RNA modifications and cancer (8 papers) and Ear and Head Tumors (6 papers). Gerhard Dyckhoff collaborates with scholars based in Germany, United States and Netherlands. Gerhard Dyckhoff's co-authors include Christel Herold‐Mende, Peter K. Plinkert, Dana Holzinger, Michael Pawlita, Burkhard Helmke, Heribert Ramroth, Christoph Reisser, Markus Schmitt, Christoph Plass and Andreas Dietz and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Gerhard Dyckhoff

65 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Dyckhoff Germany 25 952 582 524 519 334 66 1.9k
Qi-Sheng Feng China 25 805 0.8× 711 1.2× 254 0.5× 539 1.0× 168 0.5× 41 1.7k
Karin Nylander Sweden 31 1.5k 1.6× 1.4k 2.3× 459 0.9× 634 1.2× 329 1.0× 112 2.9k
Daniel L. Stoler United States 24 730 0.8× 578 1.0× 231 0.4× 541 1.0× 151 0.5× 58 1.9k
D. P. Huang Hong Kong 20 761 0.8× 1.1k 2.0× 353 0.7× 509 1.0× 287 0.9× 27 2.0k
Renee M. McGovern United States 22 693 0.7× 534 0.9× 129 0.2× 304 0.6× 140 0.4× 50 1.5k
Emmanuelle Jeannot France 23 1.0k 1.1× 513 0.9× 101 0.2× 747 1.4× 706 2.1× 60 2.6k
D J Tweardy United States 11 719 0.8× 771 1.3× 303 0.6× 225 0.4× 146 0.4× 11 1.8k
V. Patel United States 20 798 0.8× 601 1.0× 115 0.2× 335 0.6× 90 0.3× 33 1.5k
Eliana Bignotti Italy 27 754 0.8× 578 1.0× 47 0.1× 456 0.9× 250 0.7× 67 2.3k
Andreas Widschwendter Austria 24 1.3k 1.3× 488 0.8× 73 0.1× 480 0.9× 237 0.7× 56 2.2k

Countries citing papers authored by Gerhard Dyckhoff

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Dyckhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Dyckhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Dyckhoff. A scholar is included among the top collaborators of Gerhard Dyckhoff 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 Gerhard Dyckhoff. Gerhard Dyckhoff 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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Dyckhoff, Gerhard, et al.. (2024). Activation-neutral gene editing of tonsillar CD4 T cells for functional studies in human ex vivo tonsil cultures. Cell Reports Methods. 4(1). 100685–100685. 3 indexed citations
3.
Dyckhoff, Gerhard, Christel Herold‐Mende, Sabine Scherer, Peter K. Plinkert, & Rolf Warta. (2022). Human Leucocyte Antigens as Prognostic Markers in Head and Neck Squamous Cell Carcinoma. Cancers. 14(15). 3828–3828. 6 indexed citations
4.
Dyckhoff, Gerhard, Rolf Warta, Christel Herold‐Mende, Peter K. Plinkert, & Heribert Ramroth. (2022). Organerhalt: Entscheidungskriterien für Patienten mit T3-Larynxkarzinom. HNO. 70(8). 581–587. 2 indexed citations
5.
Dyckhoff, Gerhard, et al.. (2021). An Observational Cohort Study on 194 Supraglottic Cancer Patients: Implications for Laser Surgery and Adjuvant Treatment. Cancers. 13(3). 568–568. 9 indexed citations
6.
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Dyckhoff, Gerhard, Rolf Warta, Christel Herold‐Mende, et al.. (2021). Chemoradiotherapy but Not Radiotherapy Alone for Larynx Preservation in T3. Considerations from a German Observational Cohort Study. Cancers. 13(14). 3435–3435. 6 indexed citations
8.
Rigalli, Juan Pablo, et al.. (2018). The pregnane X receptor (PXR) and the nuclear receptor corepressor 2 (NCoR2) modulate cell growth in head and neck squamous cell carcinoma. PLoS ONE. 13(2). e0193242–e0193242. 10 indexed citations
9.
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Roesch, Saskia, Thomas Lindner, Max Sauter, et al.. (2018). Comparison of the RGD Motif–Containing αvβ6Integrin–Binding Peptides SFLAP3 and SFITGv6 for Diagnostic Application in HNSCC. Journal of Nuclear Medicine. 59(11). 1679–1685. 42 indexed citations
11.
Altmann, Annette, Max Sauter, Saskia Roesch, et al.. (2017). Identification of a Novel ITGαvβ6-Binding Peptide Using Protein Separation and Phage Display. Clinical Cancer Research. 23(15). 4170–4180. 45 indexed citations
12.
Arab, Khelifa, Yoon Jung Park, Anders M. Lindroth, et al.. (2014). Long Noncoding RNA TARID Directs Demethylation and Activation of the Tumor Suppressor TCF21 via GADD45A. Molecular Cell. 55(4). 604–614. 222 indexed citations
13.
Theile, Dirk, Rolf Warta, Juan Pablo Rigalli, et al.. (2014). Antiproliferative efficacies but minor drug transporter inducing effects of paclitaxel, cisplatin, or 5-fluorouracil in a murine xenograft model for head and neck squamous cell carcinoma. Cancer Biology & Therapy. 15(4). 436–442. 8 indexed citations
14.
Liebers, Nora, Martin Cremer, Ulrich Arnold, et al.. (2014). A fusogenic dengue virus-derived peptide enhances antitumor efficacy of an antibody-ribonuclease fusion protein targeting the EGF receptor. Protein Engineering Design and Selection. 27(10). 331–338. 9 indexed citations
15.
Holzinger, Dana, Markus Schmitt, Gerhard Dyckhoff, et al.. (2012). Viral RNA Patterns and High Viral Load Reliably Define Oropharynx Carcinomas with Active HPV16 Involvement. Cancer Research. 72(19). 4993–5003. 134 indexed citations
16.
Ali, Ramadan, Benito Campos, Gerhard Dyckhoff, et al.. (2012). Quantification of retinoid concentrations in human serum and brain tumor tissues. Analytica Chimica Acta. 725. 57–66. 11 indexed citations
17.
Beckhove, Philipp, Rolf Warta, Frank Momburg, et al.. (2010). Rapid T cell–based identification of human tumor tissue antigens by automated two-dimensional protein fractionation. Journal of Clinical Investigation. 120(6). 2230–2242. 16 indexed citations
18.
Montag, Michael, Gerhard Dyckhoff, Jennifer Lohr, et al.. (2009). Angiogenic growth factors in tissue homogenates of HNSCC: expression pattern, prognostic relevance, and interrelationships. Cancer Science. 100(7). 1210–1218. 27 indexed citations
19.
Bennett, Kristi L., Rainer Claus, Khelifa Arab, et al.. (2008). Frequently Methylated Tumor Suppressor Genes in Head and Neck Squamous Cell Carcinoma. Cancer Research. 68(12). 4494–4499. 114 indexed citations
20.
Reisser, Christoph, et al.. (2003). Expression profiles of angiogenic growth factors in squamous cell carcinomas of the head and neck. International Journal of Cancer. 106(1). 34–44. 107 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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