Carol Geppert

4.5k total citations · 1 hit paper
49 papers, 719 citations indexed

About

Carol Geppert is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Carol Geppert has authored 49 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 13 papers in Molecular Biology and 13 papers in Cancer Research. Recurrent topics in Carol Geppert's work include Cancer Immunotherapy and Biomarkers (9 papers), Cancer Cells and Metastasis (7 papers) and Peptidase Inhibition and Analysis (6 papers). Carol Geppert is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Cancer Cells and Metastasis (7 papers) and Peptidase Inhibition and Analysis (6 papers). Carol Geppert collaborates with scholars based in Germany, United States and Switzerland. Carol Geppert's co-authors include Arndt Hartmann, Markus Eckstein, Regine Schneider‐Stock, Susanne Merkel, Tilman T. Rau, Julienne K. Muenzner, Roland S. Croner, Michael Stürzl, Christina Glasner and Sebastian Foersch and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Carol Geppert

43 papers receiving 706 citations

Hit Papers

Multistain deep learning for prediction of prognosis and ... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol Geppert Germany 15 289 235 152 132 100 49 719
Liang‐Ru Ke China 18 291 1.0× 239 1.0× 112 0.7× 125 0.9× 98 1.0× 37 767
Sheng Li China 20 425 1.5× 235 1.0× 104 0.7× 160 1.2× 120 1.2× 57 786
Francesco Alfredo Zito Italy 17 189 0.7× 276 1.2× 70 0.5× 153 1.2× 132 1.3× 48 722
Andrew J. Colebatch Australia 15 516 1.8× 272 1.2× 173 1.1× 126 1.0× 91 0.9× 34 792
Rachel L. Stewart United States 15 342 1.2× 384 1.6× 108 0.7× 281 2.1× 157 1.6× 31 942
Zhi-Ming Shao China 13 344 1.2× 376 1.6× 169 1.1× 215 1.6× 136 1.4× 29 855
Ge Lou China 9 251 0.9× 153 0.7× 134 0.9× 90 0.7× 68 0.7× 25 549
Carlos A. Castañeda Peru 15 461 1.6× 286 1.2× 162 1.1× 250 1.9× 167 1.7× 66 893
David A. Moore United Kingdom 16 337 1.2× 266 1.1× 105 0.7× 190 1.4× 123 1.2× 30 737

Countries citing papers authored by Carol Geppert

Since Specialization
Citations

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

Fields of papers citing papers by Carol Geppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Geppert

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Geppert. A scholar is included among the top collaborators of Carol Geppert 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 Carol Geppert. Carol Geppert 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.
Trufa, Denis I., Mircea T. Chiriac, Carol Geppert, et al.. (2025). Dietary ω−3 polyunsaturated fatty acids (PUFAs) reduce cholesterol-driven non-small cell lung cancer (NSCLC) progression in mouse models of disease. Communications Medicine. 5(1). 432–432.
3.
Knöll, Antje, et al.. (2025). PD-L1-Expression in primary and recurrent vulvar squamous cell cancer. Gynecologic Oncology. 193. 98–104. 1 indexed citations
4.
Weber, Susanne N., Marcin Krawczyk, Matthias S. Matter, et al.. (2025). Hepatitis E virus infection-triggered intrahepatic cholestasis: A case report. World Journal of Hepatology. 17(4). 92426–92426.
5.
Adler, Werner, Carol Geppert, Arndt Hartmann, et al.. (2024). Evaluation of endocervical curettage (ECC) in colposcopy for detecting cervical intraepithelial lesions. Archives of Gynecology and Obstetrics. 310(6). 3037–3045. 2 indexed citations
6.
Fang, Qi, Tong Zhang, Tobias Gass, et al.. (2024). AMIGO2 characterizes cancer‐associated fibroblasts in metastatic colon cancer and induces the release of paracrine active tumorigenic secretomes. The Journal of Pathology. 265(1). 14–25. 2 indexed citations
7.
Strissel, Pamela L., Reiner Strick, Carol Geppert, et al.. (2024). Associations of TACSTD2/TROP2 and NECTIN‐4/NECTIN‐4 with molecular subtypes, PD‐L1 expression, and FGFR3 mutational status in two advanced urothelial bladder cancer cohorts. Histopathology. 84(5). 863–876. 17 indexed citations
8.
9.
Koch, Martin C., Werner Adler, Carol Geppert, et al.. (2023). Cytology and HPV Co-Testing for Detection of Vaginal Intraepithelial Neoplasia: A Retrospective Study. Cancers. 15(18). 4633–4633. 2 indexed citations
10.
Wehrhan, Falk, Raimund Preidl, Jutta Ries, et al.. (2023). Alterations in macrophage polarization in the craniofacial and extracranial skeleton after zoledronate application and surgical interventions – an in vivo experiment. Frontiers in Immunology. 14. 1204188–1204188. 1 indexed citations
11.
Eckstein, Markus, et al.. (2023). Domain Transfer in Histopathology using Multi-ProtoNets with Interactive Prototype Adaptation. SHILAP Revista de lepidopterología. 9(1). 491–494.
12.
Weber, Manuel, Carol Geppert, Tobias Möst, et al.. (2023). The Immune Checkpoint Receptor CD96: A Local and Systemic Immune Modulator in Oral Cancer?. Cancers. 15(7). 2126–2126. 6 indexed citations
13.
Spoerl, Silvia, Gerrit Spanier, Ramona Erber, et al.. (2022). TIGIT Expression on Intratumoral Lymphocytes Correlates with Improved Prognosis in Oral Squamous Cell Carcinoma. Biomedicines. 10(12). 3236–3236. 10 indexed citations
14.
König, Paul, Markus Eckstein, Rudolf Jung, et al.. (2020). Expression of AR-V7 (Androgen Receptor Variant 7) Protein in Granular Cytoplasmic Structures Is an Independent Prognostic Factor in Prostate Cancer Patients. Cancers. 12(9). 2639–2639. 5 indexed citations
15.
Böhm, J., Julienne K. Muenzner, Katharina Erlenbach‐Wünsch, et al.. (2019). Loss of enhancer of zeste homologue 2 (EZH2) at tumor invasion front is correlated with higher aggressiveness in colorectal cancer cells. Journal of Cancer Research and Clinical Oncology. 145(9). 2227–2240. 21 indexed citations
16.
Eckstein, Markus, Rudolf Jung, Ginette Serrero, et al.. (2019). Expression of GP88 (Progranulin) Protein Is an Independent Prognostic Factor in Prostate Cancer Patients. Cancers. 11(12). 2029–2029. 9 indexed citations
17.
Naschberger, Elisabeth, Melanie Langheinrich, Felix B. Engel, et al.. (2018). Isolation of Human Endothelial Cells from Normal Colon and Colorectal Carcinoma - An Improved Protocol. Journal of Visualized Experiments. 5 indexed citations
18.
Naschberger, Elisabeth, Melanie Langheinrich, Felix B. Engel, et al.. (2018). Isolation of Human Endothelial Cells from Normal Colon and Colorectal Carcinoma - An Improved Protocol. Journal of Visualized Experiments. 1 indexed citations
19.
Muenzner, Julienne K., Markus Eckstein, Carol Geppert, et al.. (2018). Generation and characterization of hepatocellular carcinoma cell lines with enhanced cancer stem cell potential. Journal of Cellular and Molecular Medicine. 22(12). 6238–6248. 25 indexed citations
20.
Schwarz‐Boeger, Ulrike, et al.. (2008). Moco - Comparison of two different algorithms for motion correction in breast MRI. mediaTUM (Technical University of Munich). 2 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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