Gerhard Schenkirsch

771 total citations
44 papers, 532 citations indexed

About

Gerhard Schenkirsch is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gerhard Schenkirsch has authored 44 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 15 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gerhard Schenkirsch's work include Colorectal Cancer Surgical Treatments (14 papers), Colorectal Cancer Treatments and Studies (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Gerhard Schenkirsch is often cited by papers focused on Colorectal Cancer Surgical Treatments (14 papers), Colorectal Cancer Treatments and Studies (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Gerhard Schenkirsch collaborates with scholars based in Germany, United States and Switzerland. Gerhard Schenkirsch's co-authors include Bruno Märkl, Matthias Anthuber, Tina Schaller, H Arnholdt, Hanno Spatz, Hendrik Jähnig, N. Patrick Mayr, Ines Krammer, Claudio Cacchi and Daniel Oruzio and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and The Journal of Pathology.

In The Last Decade

Gerhard Schenkirsch

43 papers receiving 523 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 Schenkirsch Germany 14 354 156 106 103 90 44 532
Megan Greally Ireland 9 231 0.7× 121 0.8× 161 1.5× 49 0.5× 68 0.8× 41 399
Hong Jo Choi South Korea 12 276 0.8× 177 1.1× 174 1.6× 100 1.0× 48 0.5× 25 546
Debra Hanks United States 5 404 1.1× 155 1.0× 206 1.9× 65 0.6× 58 0.6× 10 510
Mahsa Ahadi Australia 10 238 0.7× 107 0.7× 176 1.7× 66 0.6× 106 1.2× 26 445
Hiroki Fukunaga Japan 10 241 0.7× 140 0.9× 97 0.9× 83 0.8× 65 0.7× 23 474
Yanwu Sun China 16 477 1.3× 291 1.9× 208 2.0× 78 0.8× 38 0.4× 66 705
Ellie Corigliano United States 3 546 1.5× 146 0.9× 307 2.9× 80 0.8× 65 0.7× 4 635
Holly Kemberling United States 7 471 1.3× 125 0.8× 154 1.5× 118 1.1× 185 2.1× 9 567
Fanrong Zhang China 13 391 1.1× 114 0.7× 232 2.2× 138 1.3× 46 0.5× 31 546
David E. Adelberg United States 13 317 0.9× 170 1.1× 305 2.9× 80 0.8× 59 0.7× 37 542

Countries citing papers authored by Gerhard Schenkirsch

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schenkirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Schenkirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Schenkirsch. A scholar is included among the top collaborators of Gerhard Schenkirsch 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 Schenkirsch. Gerhard Schenkirsch 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
2.
Dintner, Sebastian, et al.. (2022). ALK, NUT, and TRK Do Not Play Relevant Roles in Gastric Cancer—Results of an Immunohistochemical Study in a Large Series. Diagnostics. 12(2). 429–429. 2 indexed citations
3.
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Grosser, Bianca, Christine Dhillon, Éva Sipos, et al.. (2021). Stroma AReactive Invasion Front Areas (SARIFA)—A New Easily to Determine Biomarker in Colon Cancer—Results of a Retrospective Study. Cancers. 13(19). 4880–4880. 23 indexed citations
6.
Schenkirsch, Gerhard, et al.. (2021). Semiautomatic analysis of tumor proportion in colon cancer: Lessons from a validation study. Pathology - Research and Practice. 227. 153634–153634. 2 indexed citations
7.
Bollwein, Christine, Florian Sommer, Gerhard Schenkirsch, et al.. (2021). A Mass Spectrometry Imaging Based Approach for Prognosis Prediction in UICC Stage I/II Colon Cancer. Cancers. 13(21). 5371–5371. 13 indexed citations
8.
Schiele, Stefan, Gerhard Schenkirsch, Matthias Anthuber, et al.. (2021). Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images. Cancers. 13(9). 2074–2074. 13 indexed citations
9.
10.
Mayr, N. Patrick, et al.. (2020). Tumor proportion in colon cancer: results from a semiautomatic image analysis approach. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 477(2). 185–193. 14 indexed citations
11.
Mayr, N. Patrick, Rainer Claus, Matthias Anthuber, et al.. (2020). Neoadjuvant and Definitive Radiochemotherapeutic Approaches in Esophageal Cancer: A Retrospective Evaluation of 122 Cases in Daily Clinical Routine. Oncology Research and Treatment. 43(7-8). 372–379. 3 indexed citations
12.
Hoffmann, Reinhard, Thomas Kröncke, Thomas Jung, et al.. (2019). EndoPredict versus uPA/PAI‐1 in breast cancer: Comparison of markers and association with clinicopathological parameters. The Breast Journal. 25(3). 450–454. 2 indexed citations
13.
Mayr, N. Patrick, Bruno Märkl, Abbas Agaimy, et al.. (2019). Malignancies associated with GIST: a retrospective study with molecular analysis of KIT and PDGFRA. Langenbeck s Archives of Surgery. 404(5). 605–613. 10 indexed citations
14.
Märkl, Bruno, Nadia Harbeck, Reinhard Hoffmann, et al.. (2019). Impact of uPA/PAI-1 and disseminated cytokeratin-positive cells in breast cancer. BMC Cancer. 19(1). 692–692. 8 indexed citations
15.
Anthuber, Matthias, et al.. (2018). The prognostic significance of lymph node size in node-positive colon cancer. PLoS ONE. 13(8). e0201072–e0201072. 23 indexed citations
16.
Schenkirsch, Gerhard, et al.. (2018). Impact of Primary Tumor Localization on the Efficacy of Bevacizumab in Metastatic Colorectal Cancer. Anticancer Research. 38(9). 5539–5546. 8 indexed citations
17.
Märkl, Bruno, et al.. (2017). Tumor Budding, uPA, and PAI-1 in Colorectal Cancer: Update of a Prospective Study. Gastroenterology Research and Practice. 2017. 1–10. 12 indexed citations
18.
Märkl, Bruno, et al.. (2016). The role of lymph node size and FOXP3+ regulatory T cells in node-negative colon cancer. Journal of Clinical Pathology. 70(5). 443–447. 11 indexed citations
19.
Märkl, Bruno, et al.. (2015). Lymph node size as a simple prognostic factor in node negative colon cancer and an alternative thesis to stage migration. The American Journal of Surgery. 212(4). 775–780. 30 indexed citations
20.
Märkl, Bruno, Tina Schaller, Ines Krammer, et al.. (2013). Methylene blue-assisted lymph node dissection technique is not associated with an increased detection of lymph node metastases in colorectal cancer. Modern Pathology. 26(9). 1246–1254. 26 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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