Claudio R. Thoma

2.5k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 16
Topics
Microtubule and mitosis dynamics (7 papers)Ubiquitin and proteasome pathways (6 papers)Renal and related cancers (5 papers)

In The Last Decade

Claudio R. Thoma

22 papers receiving 1.9k citations

Hit Papers

3D cell culture systems modeling tumor growth determinant...20142026201820222014100200300

Peers

Claudio R. Thoma
Comparison fields: 5 of 95
  • Molecular Biology 1.3k
  • Cell Biology 461
  • Oncology 447
  • Cancer Research 405
  • Genetics 355
Replace Antonia Patsialou with:
Antonia Patsialou United States
Anthony R. Howlett United States
William C. Hines United States
Chris D. Madsen Sweden
Marta Canel United Kingdom
Genee Y. Lee United States
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Michael J. Emanuele United States
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Claudio R. Thoma relative to Antonia Patsialou United States Antonia Patsialou's profile →
Citations per field
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Antonia Patsialou · 1×
Citations per year

Countries citing papers authored by Claudio R. Thoma

Since Specialization
Citations

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

Fields of papers citing papers by Claudio R. Thoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio R. Thoma. 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 Claudio R. Thoma. The network helps show where Claudio R. Thoma may publish in the future.

Co-authorship network of co-authors of Claudio R. Thoma

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio R. Thoma. A scholar is included among the top collaborators of Claudio R. Thoma 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 Claudio R. Thoma. Claudio R. Thoma 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
#WorkIndexed citations
1 7
2 15
3 14
4 14
5 42
6
3D cell culture systems modeling tumor growth determinants in cancer target discoverybreakdown →
382
7 16
8 13
9 45
10 4
11 39
12 345
13 178
14 131
15 124
16 101
17 48
18 198
19 68
20 47

About Claudio R. Thoma

Claudio R. Thoma is a scholar working on Cell Biology, Cancer Research and Molecular Biology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Ubiquitin and proteasome pathways (6 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Cell Biology (461 citations), Cancer Research (405 citations) and Molecular Biology (1.3k citations). Claudio R. Thoma has collaborated with scholars based in Switzerland, United States and Taiwan. Frequent co-authors include Wilhelm Krek, Ian J. Frew, Holger Moch, Miriam Zimmermann, Irina Agarkova, Jens M. Kelm, M. Montani, Christian R. Hoerner, Gaudenz Danuser and Alexandre Matov. Their work appears in journals such as Cell, The Journal of Cell Biology and The EMBO Journal.

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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