M. Madan Babu
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 26
- RNA and protein synthesis mechanisms 25
- Bioinformatics and Genomic Networks 24
- RNA Research and Splicing 23
- Receptor Mechanisms and Signaling 22
- Gene Regulatory Network Analysis 18
- Genomics and Chromatin Dynamics 15
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 15
- Aging top 1%
- Cell Biology top 1%
- Genetics top 1%
- Co-authors
- Sarah A. TeichmannJörg GsponerL. AravindAJ VenkatakrishnanBalaji SanthanamChristopher G. TateRobin van der LeeXavier Deupí
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
M. Madan Babu
131 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 11.9k
- Cellular and Molecular Neuroscience 2.1k
- Aging 164
- Cell Biology 1.2k
- Genetics 1.4k
Countries citing papers authored by M. Madan Babu
This map shows the geographic impact of M. Madan Babu'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 M. Madan Babu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Madan Babu more than expected).
Fields of papers citing papers by M. Madan Babu
This network shows the impact of papers produced by M. Madan Babu. 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 M. Madan Babu. The network helps show where M. Madan Babu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Madan Babu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 64 | |
| 7 | 2020 | 100 | |
| 8 | Common activation mechanism of class A GPCRsbreakdown → | 2019 | 396 |
| 9 | 2018 | 75 | |
| 10 | 2017 | 44 | |
| 11 | 2015 | 277 | |
| 12 | Classification of Intrinsically Disordered Regions and Proteins | 2014 | 1 |
| 13 | 2012 | 37 | |
| 14 | 2010 | 34 | |
| 15 | 2009 | 51 | |
| 16 | 2009 | 160 | |
| 17 | 2008 | 14 | |
| 18 | 2006 | 187 | |
| 19 | 2003 | 74 | |
| 20 | 2002 | 78 |
About M. Madan Babu
M. Madan Babu is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience, having authored 133 papers that have together received 14.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), RNA and protein synthesis mechanisms (25 papers), Bioinformatics and Genomic Networks (24 papers), RNA Research and Splicing (23 papers), Receptor Mechanisms and Signaling (22 papers), Gene Regulatory Network Analysis (18 papers), Neuropeptides and Animal Physiology (15 papers) and Genomics and Chromatin Dynamics (15 papers). The work is most often cited by research in Molecular Biology (11.9k citations), Cellular and Molecular Neuroscience (2.1k citations) and Aging (164 citations). M. Madan Babu has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Sarah A. Teichmann, Jörg Gsponer, L. Aravind, AJ Venkatakrishnan, Balaji Santhanam, Christopher G. Tate, Robin van der Lee, Xavier Deupí, Gebhard F. X. Schertler and Guillaume Lebon. Their work appears in journals such as Nature, Science and Cell.
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.