Carol Geppert

101 total papers · 4.4k total citations
47 papers, 698 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 47 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 28 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 (8 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 (8 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, Moritz Jesinghaus and Aurélie Fernandez 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 685 citations

Hit Papers

Multistain deep learning ... 2023 2026 2024 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
    2023 137 citations Sebastian Foersch, Ann-Christin Woerl et al. Nature Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carol Geppert 283 233 143 131 98 47 698
Stephanie G. Craig 305 1.1× 255 1.1× 100 0.7× 129 1.0× 131 1.3× 49 785
Liang‐Ru Ke 290 1.0× 237 1.0× 112 0.8× 124 0.9× 95 1.0× 37 758
Beatrix Elsberger 384 1.4× 286 1.2× 146 1.0× 179 1.4× 84 0.9× 38 728
Francesco Alfredo Zito 190 0.7× 277 1.2× 70 0.5× 154 1.2× 132 1.3× 46 720
Sheng Li 421 1.5× 236 1.0× 104 0.7× 161 1.2× 119 1.2× 56 779
Matthew P. Humphries 236 0.8× 173 0.7× 63 0.4× 119 0.9× 65 0.7× 30 571
H Helin 204 0.7× 253 1.1× 82 0.6× 86 0.7× 94 1.0× 35 789
Yu Zeng 174 0.6× 204 0.9× 87 0.6× 120 0.9× 185 1.9× 47 664
Hyeyoon Chang 281 1.0× 155 0.7× 71 0.5× 92 0.7× 134 1.4× 28 575
Yasushi Iida 146 0.5× 187 0.8× 66 0.5× 134 1.0× 74 0.8× 30 658

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

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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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Rankless by CCL
2026