Timo Gemoll

1.0k citations
44 papers · 531 · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Timo Gemoll

39 papers receiving 526 citations

Peers

Timo Gemoll
Comparison fields: 5 of 79
  • Cancer Research 143
  • Oncology 175
  • Spectroscopy 73
  • Immunology 86
  • Molecular Biology 264
Replace Yingfu Liu with:
Yingfu Liu China
Marta Lomnytska Sweden
Brunella Pilato Italy
Melissa M. Johnson United States
Matthew Winans United States
Anne‐Sofie Schrohl Denmark
Yunxiao Meng China
Rui‐xia Sun China
Tomasz P. Radon United Kingdom
Linda Lam United States
Timo Gemoll relative to Yingfu Liu China Yingfu Liu's profile →
Citations per field
00.5×2.7×
Yingfu Liu · 1×
Citations per year

Countries citing papers authored by Timo Gemoll

Since Specialization
Citations

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

Fields of papers citing papers by Timo Gemoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Timo Gemoll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timo Gemoll Line = papers co-authored together Timo Gemoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201542
3 201232
4 201231
5 201527
6 201025
7 200723
8 201623
9 201922
10 202120
11 201118
12 201718
13 202016
14 201116
15 201715
16 201315
17 201314
18 202210
19 20209
20 20239

About Timo Gemoll

Timo Gemoll is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Spectroscopy, having authored 44 papers that have together received 531 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), Advanced Proteomics Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (6 papers), Epigenetics and DNA Methylation (5 papers), Microtubule and mitosis dynamics (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (143 citations), Oncology (175 citations), Spectroscopy (73 citations), Immunology (86 citations) and Molecular Biology (264 citations). Timo Gemoll has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Jens K. Habermann, Gert Auer, Uwe J. Roblick, Thomas Ried, Christoph Thorns, Hans‐Peter Bruch, Hans Jörnvall, Sonja Hartwig, Barbara Wollenberg and Susanne Becker. Their work appears in journals such as Oncotarget, Cellular and Molecular Life Sciences, Scientific Reports, Cancers and Journal of Clinical Medicine.

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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