Gero Brockhoff

4.4k total citations
113 papers, 3.5k citations indexed

About

Gero Brockhoff is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gero Brockhoff has authored 113 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Oncology, 40 papers in Molecular Biology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gero Brockhoff's work include HER2/EGFR in Cancer Research (29 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Gero Brockhoff is often cited by papers focused on HER2/EGFR in Cancer Research (29 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Gero Brockhoff collaborates with scholars based in Germany, United States and Switzerland. Gero Brockhoff's co-authors include Ferdinand Hofstaedter, Olaf Ortmann, Simone Diermeier‐Daucher, Ruth Knuechel, Leoni A. Kunz‐Schughart, Marina Kreutz, Anja K. Wege, Stephan Schwarz, Anne Heller and Achim Goepferich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

Gero Brockhoff

110 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gero Brockhoff Germany 32 1.5k 1.2k 528 518 491 113 3.5k
Shakeel Modak United States 37 1.5k 1.0× 1.7k 1.3× 463 0.9× 758 1.5× 869 1.8× 160 4.7k
Hao Xiong United States 29 1.6k 1.1× 2.0k 1.6× 325 0.6× 492 0.9× 377 0.8× 132 4.4k
Qiang Wang China 40 1.4k 1.0× 3.0k 2.4× 532 1.0× 864 1.7× 814 1.7× 191 5.3k
Hans‐Günter Zerwes Switzerland 27 1.1k 0.7× 1.4k 1.1× 630 1.2× 1.0k 2.0× 338 0.7× 58 3.8k
Marius Raica Romania 24 1.0k 0.7× 1.1k 0.9× 445 0.8× 365 0.7× 531 1.1× 223 2.8k
Yoon Jin South Korea 29 1.1k 0.7× 912 0.7× 344 0.7× 298 0.6× 718 1.5× 178 3.0k
Emmet McCormack Norway 27 950 0.6× 1.2k 1.0× 352 0.7× 549 1.1× 395 0.8× 90 3.1k
Taira Maekawa Japan 45 1.5k 1.0× 1.9k 1.5× 1.0k 1.9× 1.2k 2.2× 474 1.0× 224 5.6k
Mathias Gugger Switzerland 35 1.1k 0.8× 1.8k 1.5× 316 0.6× 278 0.5× 843 1.7× 77 3.8k
Bruno Larrivée Canada 28 861 0.6× 2.5k 2.0× 476 0.9× 369 0.7× 792 1.6× 51 4.2k

Countries citing papers authored by Gero Brockhoff

Since Specialization
Citations

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

Fields of papers citing papers by Gero Brockhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gero Brockhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Gero Brockhoff. A scholar is included among the top collaborators of Gero Brockhoff 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 Gero Brockhoff. Gero Brockhoff 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.
Gärtner, Annette, Gero Brockhoff, Richard J. Bauer, et al.. (2024). Increased PD‐1/PDL1 Immune Checkpoint Expression Is Associated With Oral Squamous Cell Carcinoma in Never‐Smokers and Never‐Drinkers. Head & Neck. 47(3). 822–831.
2.
Brockhoff, Gero. (2022). “Shedding” light on HER4 signaling in normal and malignant breast tissues. Cellular Signalling. 97. 110401–110401. 8 indexed citations
4.
Hoffmann, Martin, Matthias Maneck, Birte Möhlendick, et al.. (2017). Diagnostic pathology of early systemic cancer: ERBB2 gene amplification in single disseminated cancer cells determines patient survival in operable esophageal cancer. International Journal of Cancer. 142(4). 833–843. 15 indexed citations
5.
Inwald, EC, Olaf Ortmann, Michael Koller, et al.. (2017). Screening-relevant age threshold of 70 years and older is a stronger determinant for the choice of adjuvant treatment in breast cancer patients than tumor biology. Breast Cancer Research and Treatment. 163(1). 119–130. 26 indexed citations
7.
Brockhoff, Gero, et al.. (2016). The FlexISH assay brings flexibility to cytogenetic HER2 testing. Histopathology. 69(4). 635–646. 5 indexed citations
8.
Ettl, Tobias, Abbas Agaimy, Johannes Zenk, et al.. (2012). Loss of PTEN is associated with elevated EGFR and HER2 expression and worse prognosis in salivary gland cancer. British Journal of Cancer. 106(4). 719–726. 45 indexed citations
9.
Viale-Bouroncle, Sandra, Oliver Felthaus, Gottfried Schmalz, et al.. (2011). The Transcription Factor DLX3 Regulates the Osteogenic Differentiation of Human Dental Follicle Precursor Cells. Stem Cells and Development. 21(11). 1936–1947. 45 indexed citations
10.
Viale-Bouroncle, Sandra, Florian Völlner, Christoph Möhl, et al.. (2011). Soft matrix supports osteogenic differentiation of human dental follicle cells. Biochemical and Biophysical Research Communications. 410(3). 587–592. 33 indexed citations
11.
Brunner, K., Claude Fischer, Oliver Driemel, et al.. (2010). EGFR (HER) family protein expression and cytogenetics in 219 squamous cell carcinomas of the upper respiratory tract: ERBB2 overexpression independent prediction of poor prognosis.. PubMed. 32(2). 78–89. 15 indexed citations
12.
Schweikl, Helmut, Andreas Hartmann, Karl‐Anton Hiller, et al.. (2006). Inhibition of TEGDMA and HEMA-induced genotoxicity and cell cycle arrest by N-acetylcysteine. Dental Materials. 23(6). 688–695. 111 indexed citations
13.
Tárnok, Attila, József Bocsi, & Gero Brockhoff. (2006). Cytomics – importance of multimodal analysis of cell function and proliferation in oncology. Cell Proliferation. 39(6). 495–505. 23 indexed citations
14.
Lottner, Christian, Stephan Schwarz, Arndt Hartmann, et al.. (2005). Simultaneous detection of HER2/neu gene amplification and protein overexpression in paraffin‐embedded breast cancer. The Journal of Pathology. 205(5). 577–584. 50 indexed citations
16.
Kubbies, Manfred, et al.. (2004). Exposure to continuous bromodeoxyuridine (BrdU) differentially affects cell cycle progression of human breast and bladder cancer cell lines. Cell Proliferation. 37(2). 195–206. 22 indexed citations
17.
Kunz‐Schughart, Leoni A., Alexander Mark Weber, Michael Rehli, et al.. (2003). [The "classical" macrophage marker CD68 is strongly expressed in primary human fibroblasts].. PubMed. 87. 215–23. 28 indexed citations
18.
Bergmeier, Wolfgang, et al.. (2002). Flow cytometric detection of activated mouse integrin αIIbβ3 with a novel monoclonal antibody. Cytometry. 48(2). 80–86. 128 indexed citations
20.
Brockhoff, Gero, Ferdinand Hofstaedter, & Ruth Knuechel. (1994). Flow cytometric detection and quantitation of the epidermal growth factor receptor in comparison to Scatchard analysis in human bladder carcinoma cell lines. Cytometry. 17(1). 75–83. 40 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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