Torsten Kroll

984 citations
30 papers · 748 · h-index 16

Impact in

Papers in

    • Gene expression and cancer classification 3
    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 3
    • Bone Metabolism and Diseases 2
    • Cancer Cells and Metastasis 3

Torsten Kroll

28 papers receiving 719 citations

Peers

Torsten Kroll
Comparison fields: 5 of 89
  • Cancer Research 185
  • Oncology 307
  • Cell Biology 71
  • Molecular Biology 291
  • Toxicology 9
Replace Karolina Sterzyńska with:
Karolina Sterzyńska Poland
Hanna Dillekås Norway
Vanessa Moreno Spain
Monika McClellan Germany
Elizabeth Alli United States
Lia Walcher Germany
Stephen M. Stribbling United Kingdom
Huizhen Suo Germany
Andrea Kinner Germany
A. M. Burger United States
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Citations per field
00.5×1.5×2.1×
Karolina Sterzyńska · 1×
Citations per year

Countries citing papers authored by Torsten Kroll

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Kroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Torsten Kroll, 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 Torsten Kroll Line = papers co-authored together Torsten Kroll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008228
2 200752
3 200250
4 201743
5 201043
6 201131
7 200931
8 201729
9 201628
10 200724
11 201521
12 201020
13 202219
14 201718
15 200216
16 201615
17 200815
18 201811
19 200811
20 20098

About Torsten Kroll

Torsten Kroll is a scholar working on Molecular Biology, Oncology, Cell Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 748 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Microtubule and mitosis dynamics (3 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Cells and Metastasis (3 papers), Cell Image Analysis Techniques (3 papers), RNA Research and Splicing (3 papers), Bone Metabolism and Diseases (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cancer Research (185 citations), Oncology (307 citations), Cell Biology (71 citations), Molecular Biology (291 citations) and Toxicology (9 citations). Torsten Kroll has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Katharina Pachmann, Oumar Camara, Ingo B. Runnebaum, K. Höffken, Mieczysław Gajda, C. Rabenstein, Ulrich Pachmann, Stefan Wölfl, Cornelia Jörke and Andreas Kavallaris. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Planta Medica, Cancer Research, Nucleic Acids Research and Biology Open.

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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