Ram Samudrala

8.4k total citations · 1 hit paper
127 papers, 4.7k citations indexed

About

Ram Samudrala is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ram Samudrala has authored 127 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 26 papers in Materials Chemistry. Recurrent topics in Ram Samudrala's work include Protein Structure and Dynamics (47 papers), RNA and protein synthesis mechanisms (29 papers) and Enzyme Structure and Function (26 papers). Ram Samudrala is often cited by papers focused on Protein Structure and Dynamics (47 papers), RNA and protein synthesis mechanisms (29 papers) and Enzyme Structure and Function (26 papers). Ram Samudrala collaborates with scholars based in United States, Thailand and China. Ram Samudrala's co-authors include John Moult, Ekachai Jenwitheesuk, Enoch S. Huang, Michael Levitt, Jason McDermott, Aaron D. Goldman, Michael D. Levitt, Kai Wang, Yu Xia and Keiji Murakami and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ram Samudrala

127 papers receiving 4.6k citations

Hit Papers

Antiviral Approaches against Influenza Virus 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ram Samudrala United States 38 3.2k 898 831 422 384 127 4.7k
Krzysztof Ginalski Poland 44 4.9k 1.5× 634 0.7× 483 0.6× 601 1.4× 292 0.8× 105 6.3k
Jianyi Yang China 37 6.3k 2.0× 1.0k 1.2× 1.5k 1.8× 536 1.3× 542 1.4× 114 8.6k
Mikhail M. Savitski Germany 48 6.4k 2.0× 399 0.4× 551 0.7× 495 1.2× 339 0.9× 122 9.1k
Leszek Rychlewski Poland 43 5.3k 1.7× 1.6k 1.7× 442 0.5× 692 1.6× 371 1.0× 126 6.8k
Benjamin Webb United States 19 5.2k 1.6× 875 1.0× 722 0.9× 608 1.4× 595 1.5× 28 7.1k
Peter J. Bond Singapore 49 5.2k 1.6× 519 0.6× 448 0.5× 766 1.8× 551 1.4× 197 7.3k
Dmitrij Frishman Germany 36 6.0k 1.9× 1.0k 1.1× 459 0.6× 884 2.1× 255 0.7× 160 7.5k
Wim Vranken Belgium 33 6.6k 2.1× 1.6k 1.8× 767 0.9× 636 1.5× 389 1.0× 106 8.8k
Lukasz Jaroszewski United States 37 4.3k 1.4× 1.1k 1.2× 265 0.3× 437 1.0× 353 0.9× 97 5.6k
David E. Kim United States 31 5.5k 1.7× 1.8k 2.0× 488 0.6× 503 1.2× 304 0.8× 58 6.6k

Countries citing papers authored by Ram Samudrala

Since Specialization
Citations

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

Fields of papers citing papers by Ram Samudrala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Samudrala

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Samudrala. A scholar is included among the top collaborators of Ram Samudrala 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 Ram Samudrala. Ram Samudrala 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.
Falls, Zackary, et al.. (2024). The implications of APOBEC3-mediated C-to-U RNA editing for human disease. Communications Biology. 7(1). 529–529. 3 indexed citations
2.
Falls, Zackary, Jonathan Fine, Gaurav Chopra, & Ram Samudrala. (2022). Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK. Frontiers in Chemistry. 9. 775513–775513. 2 indexed citations
3.
Falls, Zackary, et al.. (2021). A fluorescence-based, gain-of-signal, live cell system to evaluate SARS-CoV-2 main protease inhibition. Antiviral Research. 195. 105183–105183. 12 indexed citations
4.
Falls, Zackary, et al.. (2020). Association of C>U RNA Editing with Human Disease Variants. Studies in health technology and informatics. 270. 1205–1206. 1 indexed citations
5.
Samudrala, Ram, et al.. (2019). Foundations for a Realism-based Drug Repurposing Ontology.. 1–8. 3 indexed citations
6.
Lertkiatmongkol, Panida, Anunchai Assawamakin, G. Edward White, et al.. (2013). Correction: Distal Effect of Amino Acid Substitutions in CYP2C9 Polymorphic Variants Causes Differences in Interatomic Interactions against (S)-Warfarin. PLoS ONE. 8(9). 3 indexed citations
7.
Horst, Orapin V., Jeremy A. Horst, Ram Samudrala, & Beverly A. Dale. (2011). Caries induced cytokine network in the odontoblast layer of human teeth. BMC Immunology. 12(1). 9–9. 91 indexed citations
8.
Wang, Jun, Jianguo Zhang, Ruiqiang Li, et al.. (2010). Evolutionary Transients in the Rice Transcriptome. Genomics Proteomics & Bioinformatics. 8(4). 211–228. 8 indexed citations
9.
Borlee, Bradley R., Aaron D. Goldman, Keiji Murakami, et al.. (2010). Pseudomonas aeruginosa uses a cyclic‐di‐GMP‐regulated adhesin to reinforce the biofilm extracellular matrix. Molecular Microbiology. 75(4). 827–842. 396 indexed citations
10.
Cunningham, Michael L., Jeremy A. Horst, Mark J. Rieder, et al.. (2010). IGF1R variants associated with isolated single suture craniosynostosis. American Journal of Medical Genetics Part A. 155(1). 91–97. 26 indexed citations
11.
Bumgarner, Roger E., et al.. (2009). Computational Systems Biology. Methods in molecular biology. 19 indexed citations
12.
Chevance, Fabienne F. V., Noriko Takahashi, Joyce E. Karlinsey, et al.. (2007). The mechanism of outer membrane penetration by the eubacterial flagellum and implications for spirochete evolution. Genes & Development. 21(18). 2326–2335. 54 indexed citations
13.
Hung, Ling‐Hong, Shing-Chung Ngan, Tianyun Liu, & Ram Samudrala. (2005). PROTINFO: new algorithms for enhanced protein structure predictions. Nucleic Acids Research. 33(Web Server). W77–W80. 67 indexed citations
14.
Wang, Wen, Hongkun Zheng, Shuang Yang, et al.. (2005). Origin and evolution of new exons in rodents. Genome Research. 15(9). 1258–1264. 87 indexed citations
15.
McDermott, Jason, et al.. (2005). BIOVERSE: enhancements to the framework for structural, functional and contextual modeling of proteins and proteomes. Nucleic Acids Research. 33(Web Server). W324–W325. 18 indexed citations
16.
Liu, Tianyun, Ekachai Jenwitheesuk, David C. Teller, & Ram Samudrala. (2005). Structural insights into the cellular retinaldehyde‐binding protein (CRALBP). Proteins Structure Function and Bioinformatics. 61(2). 412–422. 21 indexed citations
17.
Hung, Ling‐Hong & Ram Samudrala. (2003). Accurate and automated classification of protein secondary structure with PsiCSI. Protein Science. 12(2). 288–295. 37 indexed citations
18.
Jenkins, Cheryl, Ram Samudrala, Iain Anderson, et al.. (2002). Genes for the cytoskeletal protein tubulin in the bacterial genus Prosthecobacter. Proceedings of the National Academy of Sciences. 99(26). 17049–17054. 126 indexed citations
19.
Samudrala, Ram & Michael Levitt. (2002). A comprehensive analysis of 40 blind protein structure predictions. BMC Structural Biology. 2(1). 3–3. 44 indexed citations
20.
Samudrala, Ram. (2000). Philosophie de la musique libre. Cairn.info. 463–478. 3 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.

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