Stefan M.V. Freund

14.3k citations
153 papers · 11.3k indexed · 2 hit papers · h-index 61
Topics
Protein Structure and Dynamics (29 papers)RNA modifications and cancer (29 papers)Cancer-related Molecular Pathways (27 papers)

In The Last Decade

Stefan M.V. Freund

147 papers receiving 11.1k citations

Hit Papers

Phage-encoded combinatorial chemical libraries based on b...200920262014202020092013100200300400500

Peers

Stefan M.V. Freund
Comparison fields: 5 of 153
  • Molecular Biology 9.3k
  • Oncology 2.5k
  • Materials Chemistry 1.6k
  • Cell Biology 1.2k
  • Genetics 1.2k
Replace Sachdev S. Sidhu with:
Sachdev S. Sidhu Canada
Volker Dötsch Germany
Richard W. Kriwacki United States
M.E.M. Noble United Kingdom
Tad A. Holak Germany
Ming‐Daw Tsai United States
Peter M. Colman Australia
Laurence H. Pearl United Kingdom
Michael Sattler Germany
Ming Lei United States
Stefan M.V. Freund relative to Sachdev S. Sidhu Canada Sachdev S. Sidhu's profile →
Citations per field
00.5×3.3×
Sachdev S. Sidhu · 1×
Citations per year

Countries citing papers authored by Stefan M.V. Freund

Since Specialization
Citations

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

Fields of papers citing papers by Stefan M.V. Freund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan M.V. Freund. 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 Stefan M.V. Freund. The network helps show where Stefan M.V. Freund may publish in the future.

Co-authorship network of co-authors of Stefan M.V. Freund

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan M.V. Freund. A scholar is included among the top collaborators of Stefan M.V. Freund 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 Stefan M.V. Freund. Stefan M.V. Freund 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 0
2 3
3 83
4 2
5 19
6 25
7 15
8 22
9 62
10 58
11 48
12 49
13 241
14
Gesamtschuldnerregress in der Organhaftung
0
15 34
16 18
17 279
18 86
19
Von den Agilolfingern zu den Karolingern : Bayerns Bischöfe zwischen Kirchenorganisation, Reichsintegration und karolingischer Reform (700-847)
1
20 217

About Stefan M.V. Freund

Stefan M.V. Freund is a scholar working on Molecular Biology, Cell Biology and Oncology, having authored 153 papers that have together received 11.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), RNA modifications and cancer (29 papers) and Cancer-related Molecular Pathways (27 papers). The work is most often cited by research in Molecular Biology (9.3k citations), Oncology (2.5k citations) and Cell Biology (1.2k citations). Stefan M.V. Freund has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Alan R. Fersht, Mark Bycroft, David Komander, Alan R. Fersht, Trevor J. Rutherford, Mark R. Proctor, Dmitry B. Veprintsev, Christian Heinis, Greg Winter and Assaf Friedler. Their work appears in journals such as Nature, Science and Cell.

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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