Ram Samudrala
Impact in
- Endocrinology top 2%
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Bacterial biofilms and quorum sensing
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Structure and Dynamics 40
- RNA and protein synthesis mechanisms 23
- Bioinformatics and Genomic Networks 18
- Machine Learning in Bioinformatics 17
-
- Computational Drug Discovery Methods 27
- Co-authors
- Ekachai Jenwitheesuk (14 shared papers)Michael Levitt (8 shared papers)John Moult (5 shared papers)Aaron David Goldman (4 shared papers)Enoch S. Huang (8 shared papers)Michael D. Levitt (1 shared paper)Kai You Wang (9 shared papers)Yu Xia (5 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (8 papers)Bioinformatics (6 papers)Molecules (5 papers)Antiviral Therapy (4 papers)BMC Bioinformatics (4 papers)
- Partner nations
- United StatesThailandChina
In The Last Decade
Ram Samudrala
133 papers receiving 5.8k citations
Ram Samudrala's Hit Papers
Peers
Comparison fields: 5 of 171
- Endocrinology 276
- Molecular Biology 3.5k
- Computational Theory and Mathematics 812
- Periodontics 164
- Virology 173
Countries citing papers authored by Ram Samudrala
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
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-authors
The 25 scholars most cited alongside Ram Samudrala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genomes of Oryza sativa: A History of Duplications Hit paper breakdown → | 2005 | 810 |
| 2 | Data access for the 1,000 Plants (1KP) project Hit paper breakdown → | 2014 | 467 |
| 3 | 2010 | 436 | |
| 4 | 2000 | 183 | |
| 5 | 2009 | 162 | |
| 6 | 2002 | 146 | |
| 7 | 2000 | 145 | |
| 8 | 2004 | 138 | |
| 9 | 2007 | 125 | |
| 10 | 1998 | 121 | |
| 11 | 2007 | 107 | |
| 12 | 2023 | 104 | |
| 13 | 2008 | 104 | |
| 14 | 2010 | 97 | |
| 15 | 2011 | 96 | |
| 16 | 2010 | 91 | |
| 17 | 2021 | 88 | |
| 18 | 2006 | 77 | |
| 19 | 2010 | 77 | |
| 20 | 2005 | 69 |
About Ram Samudrala
Ram Samudrala is a scholar working on Molecular Biology, Computational Theory and Mathematics, Virology, Infectious Diseases and Materials Chemistry, having authored 137 papers that have together received 5.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (40 papers), Computational Drug Discovery Methods (27 papers), RNA and protein synthesis mechanisms (23 papers), Enzyme Structure and Function (20 papers), Bioinformatics and Genomic Networks (18 papers), Machine Learning in Bioinformatics (17 papers), HIV Research and Treatment (13 papers) and HIV/AIDS drug development and treatment (12 papers). The work is most often cited by research in Endocrinology (276 citations), Molecular Biology (3.5k citations), Computational Theory and Mathematics (812 citations), Periodontics (164 citations) and Virology (173 citations). Ram Samudrala has collaborated with scholars based in United States, Thailand and China. Frequent co-authors include Ekachai Jenwitheesuk, Michael Levitt, John Moult, Aaron David Goldman, Enoch S. Huang, Michael D. Levitt, Kai You Wang, Yu Xia, Keiji Murakami and Daniel J. Wozniak. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Molecules, Antiviral Therapy and BMC 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.