Timo Gemoll

1.0k citations
45 papers · 569 · h-index 16

Impact in

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

Papers in

Timo Gemoll

43 papers receiving 562 citations

Peers

Timo Gemoll
Comparison fields: 5 of 78
  • Cancer Research 135
  • Oncology 145
  • Spectroscopy 73
  • Molecular Biology 253
  • Immunology 74
Replace Marta Lomnytska with:
Marta Lomnytska Sweden
Vera Timmermans‐Wielenga Denmark
Brunella Pilato Italy
Tatsuhiko Kakisaka Japan
Yingfu Liu China
Matthew Winans United States
Ryo Nagashio Japan
Antonette E. Leon Italy
Rui‐xia Sun China
Yunxiao Meng China
Timo Gemoll relative to Marta Lomnytska Sweden Marta Lomnytska's profile →
Citations per field
00.5×
Marta Lomnytska · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201544
3 201237
4 201231
5 201528
6 201026
7 201625
8 200723
9 201922
10 202121
11 201720
12 201120
13 201718
14 201118
15 202017
16 201315
17 201314
18 202312
19 202210
20 20209

About Timo Gemoll

Timo Gemoll is a scholar working on Molecular Biology, Cancer Research, Spectroscopy, Oncology and Cell Biology, having authored 45 papers that have together received 569 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Microtubule and mitosis dynamics (4 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (3 papers), Extracellular vesicles in disease (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Genetic factors in colorectal cancer (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (135 citations), Oncology (145 citations), Spectroscopy (73 citations), Molecular Biology (253 citations) and Immunology (74 citations). Timo Gemoll has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Jens K. Habermann, Uwe J. Roblick, Gert Auer, Thomas Ried, Christoph Thorns, Hans‐Peter Bruch, Hans Jörnvall, Susanne Becker, Sonja Hartwig and Silke Szymczak. Their work appears in journals such as Oncotarget, Cellular and Molecular Life Sciences, Scientific Reports, Journal of Clinical Medicine and International Journal of Molecular Sciences.

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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