Srivatsan Raman

5.1k citations
47 papers · 3.7k indexed · 3 hit papers · h-index 25
Topics
Protein Structure and Dynamics (18 papers)RNA and protein synthesis mechanisms (13 papers)Enzyme Structure and Function (9 papers)

In The Last Decade

Srivatsan Raman

45 papers receiving 3.7k citations

Hit Papers

Improving physical realism, stereochemistry, and side‐cha...20092026201420202009200920152505007501000

Peers

Srivatsan Raman
Comparison fields: 5 of 144
  • Molecular Biology 2.9k
  • Materials Chemistry 642
  • Genetics 376
  • Spectroscopy 271
  • Biomedical Engineering 268
Replace A.E. Sauer-Eriksson with:
A.E. Sauer-Eriksson Sweden
Ilian Jelesarov Switzerland
Robbie P. Joosten Netherlands
João Rodrigues Netherlands
Jonathan Lees United Kingdom
Ingemar André Sweden
Jaime Prilusky Israel
Constance J. Jeffery United States
Grzegorz Nawrocki United States
Sarel J. Fleishman Israel
Srivatsan Raman relative to A.E. Sauer-Eriksson Sweden A.E. Sauer-Eriksson's profile →
Citations per field
00.5×11×
A.E. Sauer-Eriksson · 1×
Citations per year

Countries citing papers authored by Srivatsan Raman

Since Specialization
Citations

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

Fields of papers citing papers by Srivatsan Raman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srivatsan Raman

This figure shows the co-authorship network connecting the top 25 collaborators of Srivatsan Raman. A scholar is included among the top collaborators of Srivatsan Raman 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 Srivatsan Raman. Srivatsan Raman 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 3
2 0
3 0
4 1
5 6
6 5
7 1
8 1
9 9
10 19
11 73
12 40
13 33
14 56
15 201
16
Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8breakdown →
1107
17
Structure prediction for CASP8 with all‐atom refinement using Rosettabreakdown →
380
18 51
19 242
20 145

About Srivatsan Raman

Srivatsan Raman is a scholar working on Molecular Biology, Biomaterials and Computational Theory and Mathematics, having authored 47 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), RNA and protein synthesis mechanisms (13 papers) and Enzyme Structure and Function (9 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Biotechnology (162 citations) and Spectroscopy (271 citations). Srivatsan Raman has collaborated with scholars based in United States, India and Australia. Frequent co-authors include David Baker, James Thompson, Elmar Krieger, Jooyoung Lee, Mike Tyka, Keehyoung Joo, Jinwoo Lee, Kevin Karplus, Noah D. Taylor and George M. Church. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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