Rama Ranganathan

13.0k total citations · 4 hit papers
91 papers, 9.0k citations indexed

About

Rama Ranganathan is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Rama Ranganathan has authored 91 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Genetics. Recurrent topics in Rama Ranganathan's work include Protein Structure and Dynamics (24 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (11 papers). Rama Ranganathan is often cited by papers focused on Protein Structure and Dynamics (24 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (11 papers). Rama Ranganathan collaborates with scholars based in United States, India and France. Rama Ranganathan's co-authors include Steve W. Lockless, Michael Socolich, Mark A. Wall, William P. Russ, Olivier Rivoire, Charles S. Zuker, Gürol M. Süel, Richard N. McLaughlin, Stanislas Leibler and Kun Ping Lu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Rama Ranganathan

88 papers receiving 8.9k citations

Hit Papers

Evolutionarily Conserved Pathways of Energetic Connectivi... 1997 2026 2006 2016 1999 2002 1997 2009 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rama Ranganathan United States 41 7.2k 1.6k 1.3k 1.0k 760 91 9.0k
Olivier Lichtarge United States 46 7.1k 1.0× 1.6k 1.0× 1.3k 1.0× 812 0.8× 731 1.0× 165 8.6k
Narayanan Eswar United States 25 8.4k 1.2× 704 0.4× 1.2k 0.9× 1.3k 1.2× 668 0.9× 52 11.2k
M. Madan Babu United Kingdom 57 11.9k 1.6× 2.1k 1.3× 1.4k 1.0× 1.2k 1.2× 639 0.8× 133 14.0k
Mark S. Johnson Finland 51 6.9k 1.0× 805 0.5× 1.2k 0.9× 1.3k 1.3× 520 0.7× 211 10.2k
Joost Schymkowitz Belgium 58 10.6k 1.5× 752 0.5× 1.2k 0.9× 1.7k 1.7× 799 1.1× 188 14.3k
M. S. Madhusudhan India 28 6.6k 0.9× 595 0.4× 838 0.6× 1.1k 1.1× 558 0.7× 67 9.2k
Annalisa Pastore United Kingdom 65 10.0k 1.4× 3.1k 1.9× 1.0k 0.8× 1.7k 1.6× 419 0.6× 333 14.4k
Yifei Qi United States 28 6.0k 0.8× 770 0.5× 542 0.4× 680 0.7× 413 0.5× 70 8.1k
Roberto Sánchez United States 32 5.6k 0.8× 504 0.3× 695 0.5× 1.0k 1.0× 541 0.7× 66 7.2k
András Fiser United States 43 8.0k 1.1× 608 0.4× 687 0.5× 1.9k 1.8× 1.4k 1.8× 144 11.3k

Countries citing papers authored by Rama Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by Rama Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rama Ranganathan

This figure shows the co-authorship network connecting the top 25 collaborators of Rama Ranganathan. A scholar is included among the top collaborators of Rama Ranganathan 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 Rama Ranganathan. Rama Ranganathan 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
1.
Kim, Justin S., et al.. (2024). Functional protein dynamics in a crystal. Biophysical Journal. 123(3). 461a–461a. 2 indexed citations
2.
Henning, Robert, et al.. (2024). BioCARS: Synchrotron facility for probing structural dynamics of biological macromolecules. Structural Dynamics. 11(1). 14301–14301. 10 indexed citations
3.
Ranganathan, Rama, et al.. (2024). Human Papillomavirus–Attributable Head and Neck Cancers in India—A Systematic Review and Meta-Analysis. JCO Global Oncology. 10(10). e2300464–e2300464. 6 indexed citations
4.
Aggarwal, Aastha, Rama Ranganathan, Preet K. Dhillon, et al.. (2023). Linking population-based cohorts with cancer registries in LMIC: a case study and lessons learnt in India. BMJ Open. 13(3). e068644–e068644. 1 indexed citations
5.
Russ, William P., et al.. (2023). Undersampling and the inference of coevolution in proteins. Cell Systems. 14(3). 210–219.e7. 3 indexed citations
6.
Russ, William P., Matteo Figliuzzi, Christian Stocker, et al.. (2020). An evolution-based model for designing chorismate mutase enzymes. Science. 369(6502). 440–445. 166 indexed citations
7.
Bandaru, Pradeep, Neel H. Shah, Moitrayee Bhattacharyya, et al.. (2017). Deconstruction of the Ras switching cycle through saturation mutagenesis. eLife. 6. 70 indexed citations
8.
Ranganathan, Rama, et al.. (2017). Surgical Resection for Hepatoblastoma—Updated Survival Outcomes. Journal of Gastrointestinal Cancer. 49(4). 493–496. 10 indexed citations
9.
Poelwijk, Frank J., Vinod Krishna, & Rama Ranganathan. (2016). The Context-Dependence of Mutations: A Linkage of Formalisms. PLoS Computational Biology. 12(6). e1004771–e1004771. 71 indexed citations
10.
Raman, Arjun S., K. Ian White, & Rama Ranganathan. (2016). Origins of Allostery and Evolvability in Proteins: A Case Study. Cell. 166(2). 468–480. 101 indexed citations
11.
Seshadri, Ramakrishnan Ayloor, et al.. (2016). Long-Term Outcomes and Prognostic Factors in Periampullary Carcinoma. Journal of Gastrointestinal Cancer. 48(1). 13–19. 7 indexed citations
12.
McLaughlin, Richard N., Frank J. Poelwijk, Arjun S. Raman, Walraj S. Gosal, & Rama Ranganathan. (2012). The spatial architecture of protein function and adaptation. Nature. 491(7422). 138–142. 336 indexed citations
13.
Reynolds, Kimberly A., Richard N. McLaughlin, & Rama Ranganathan. (2011). Hot Spots for Allosteric Regulation on Protein Surfaces. Cell. 147(7). 1564–1575. 275 indexed citations
14.
Mani, Samson, et al.. (2009). CYP17 (T34C), CYP19 (Trp39Arg), and FGFR2 (C906T) polymorphisms and the risk of breast cancer in south Indian women.. PubMed. 10(1). 111–4. 14 indexed citations
15.
Lee, Jeeyeon, Madhusudan Natarajan, Vishal Nashine, et al.. (2008). Surface Sites for Engineering Allosteric Control in Proteins. Science. 322(5900). 438–442. 275 indexed citations
16.
Ranganathan, Rama, et al.. (2006). Knowledge-based potentials in protein design. Current Opinion in Structural Biology. 16(4). 508–513. 69 indexed citations
17.
Socolich, Michael, Steve W. Lockless, William P. Russ, et al.. (2005). Evolutionary information for specifying a protein fold. Nature. 437(7058). 512–518. 323 indexed citations
18.
Ranganathan, Rama, Mark A. Wall, & Michael Socolich. (2000). The structural basis for red fluorescence in the tetrameric GFP homolog DsRed.. Nature Structural Biology. 7(12). 1133–1138. 272 indexed citations
19.
Ranganathan, Rama & Elliott M. Ross. (1997). PDZ domain proteins: Scaffolds for signaling complexes. Current Biology. 7(12). R770–R773. 130 indexed citations
20.
Ranganathan, Rama, John H. Lewis, & Roderick MacKinnon. (1996). Spatial Localization of the K+ Channel Selectivity Filter by Mutant Cycle–Based Structure Analysis. Neuron. 16(1). 131–139. 252 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026