Carol A. Rohl

8.6k citations
36 papers · 5.8k indexed · 3 hit papers · h-index 28

Carol A. Rohl

36 papers receiving 5.7k citations

Hit Papers

Protein Structure Prediction Using Rosetta20032026201020182004200320124008001.2k

Peers

Carol A. Rohl
Comparison fields: 5 of 152
  • Molecular Biology 5.1k
  • Materials Chemistry 1.8k
  • Spectroscopy 518
  • Computational Theory and Mathematics 490
  • Genetics 315
Replace Philip Bradley with:
Philip Bradley United States
Dmitrij Frishman Germany
Christine Orengo United Kingdom
Ora Schueler‐Furman Israel
David E. Kim United States
Eldon L. Ulrich United States
John Karanicolas United States
Lynne Regan United States
A. Keith Dunker United States
Tanja Kortemme United States
Carol A. Rohl relative to Philip Bradley United States Philip Bradley's profile →
Citations per field
00.5×1.5×
Philip Bradley · 1×
Citations per year

Countries citing papers authored by Carol A. Rohl

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Rohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Rohl. 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 Carol A. Rohl. The network helps show where Carol A. Rohl may publish in the future.

Co-authorship network of co-authors of Carol A. Rohl

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Rohl. A scholar is included among the top collaborators of Carol A. Rohl 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 Carol A. Rohl. Carol A. Rohl 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
A quantitative atlas of polyadenylation in five mammalsbreakdown →
487
2 125
3 120
4 12
5 135
6 116
7 26
8
Protein Structure Prediction Using Rosettabreakdown →
1273
9 255
10 133
11
Protein–Protein Docking with Simultaneous Optimization of Rigid-body Displacement and Side-chain Conformationsbreakdown →
881
12 190
13 26
14 231
15 111
16 230
17 64
18 79
19 71
20 100

About Carol A. Rohl

Carol A. Rohl is a scholar working on Molecular Biology, Materials Chemistry and Physiology, having authored 36 papers that have together received 5.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Materials Chemistry (1.8k citations) and Spectroscopy (518 citations). Carol A. Rohl has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include David Baker, Charlie E. M. Strauss, Kira M.S. Misura, Robert L. Baldwin, Dylan Chivian, Brian Kuhlman, Ora Schueler‐Furman, Stewart Moughon, Chu Wang and Jeffrey J. Gray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Bioinformatics.

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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