Tanja Kortemme

28.1k citations
100 papers · 11.0k indexed · 7 hit papers · h-index 55
Topics
Protein Structure and Dynamics (65 papers)Enzyme Structure and Function (35 papers)RNA and protein synthesis mechanisms (34 papers)

In The Last Decade

Tanja Kortemme

100 papers receiving 10.9k citations

Hit Papers

The Rosetta All-Atom En...199420262004201520172002199420042003250500750

Peers

Tanja Kortemme
Comparison fields: 5 of 158
  • Molecular Biology 9.1k
  • Materials Chemistry 2.6k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Computational Theory and Mathematics 902
  • Cell Biology 768
Replace Dina Schneidman‐Duhovny with:
Dina Schneidman‐Duhovny United States
Simon C. Lovell United Kingdom
Nir Ben‐Tal Israel
Joost Schymkowitz Belgium
Brian Kuhlman United States
Marc A. Martı́-Renom Spain
Alexey G. Murzin United Kingdom
András Fiser United States
Martin Zacharias Germany
Chung‐Jung Tsai United States
Tanja Kortemme relative to Dina Schneidman‐Duhovny United States Dina Schneidman‐Duhovny's profile →
Citations per field
00.5×1.5×
Dina Schneidman‐Duhovny · 1×
Citations per year

Countries citing papers authored by Tanja Kortemme

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Kortemme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Kortemme

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Kortemme. A scholar is included among the top collaborators of Tanja Kortemme 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 Tanja Kortemme. Tanja Kortemme 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 10
2 20
3 11
4 2
5 6
6 3
7 28
8 12
9 58
10 21
11 160
12 147
13 29
14 92
15 158
16
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Designbreakdown →
942
17 70
18 80
19
SAT-based protein design
7
20 116

About Tanja Kortemme

Tanja Kortemme is a scholar working on Molecular Biology, Materials Chemistry and Structural Biology, having authored 100 papers that have together received 11.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (65 papers), Enzyme Structure and Function (35 papers) and RNA and protein synthesis mechanisms (34 papers). The work is most often cited by research in Molecular Biology (9.1k citations), Computational Theory and Mathematics (902 citations) and Materials Chemistry (2.6k citations). Tanja Kortemme has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David Baker, Alexandre V. Morozov, Colin A. Smith, Avijit Chakrabartty, Robert L. Baldwin, Thomas E. Creighton, David E. Kim, Daniel J. Mandell, Marina Ramı́rez-Alvarado and Brian Kuhlman. 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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