Mohan Babu

11.0k total citations · 2 hit papers
139 papers, 5.0k citations indexed

About

Mohan Babu is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Mohan Babu has authored 139 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 32 papers in Genetics and 15 papers in Cell Biology. Recurrent topics in Mohan Babu's work include Bacterial Genetics and Biotechnology (23 papers), RNA and protein synthesis mechanisms (22 papers) and Bioinformatics and Genomic Networks (19 papers). Mohan Babu is often cited by papers focused on Bacterial Genetics and Biotechnology (23 papers), RNA and protein synthesis mechanisms (22 papers) and Bioinformatics and Genomic Networks (19 papers). Mohan Babu collaborates with scholars based in Canada, United States and Finland. Mohan Babu's co-authors include Andrew Emili, Yuichi Taniguchi, Huiyi Chen, X. Sunney Xie, Paul Choi, Gene‐Wei Li, M Snyder, Alla Gagarinova, Sadhna Phanse and Aiming Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mohan Babu

131 papers receiving 4.9k citations

Hit Papers

Quantifying E. coli Proteome and Transcriptome with Singl... 2010 2026 2015 2020 2010 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohan Babu Canada 34 3.6k 990 517 464 463 139 5.0k
Pei Zhou United States 50 4.3k 1.2× 712 0.7× 716 1.4× 337 0.7× 279 0.6× 217 6.5k
Edmund R.S. Kunji United Kingdom 53 6.3k 1.8× 798 0.8× 382 0.7× 387 0.8× 397 0.9× 125 8.1k
Richard Wagner Germany 42 5.2k 1.5× 443 0.4× 624 1.2× 263 0.6× 488 1.1× 107 6.1k
David Drew Sweden 37 4.2k 1.2× 1.4k 1.4× 400 0.8× 212 0.5× 433 0.9× 77 5.7k
Johannes Schuchhardt Germany 22 4.5k 1.3× 509 0.5× 284 0.5× 449 1.0× 472 1.0× 63 6.3k
Xing Zhang China 44 4.0k 1.1× 507 0.5× 563 1.1× 251 0.5× 254 0.5× 131 5.6k
Di Xia United States 40 4.0k 1.1× 831 0.8× 393 0.8× 356 0.8× 804 1.7× 154 6.0k
Maofu Liao United States 35 3.7k 1.0× 412 0.4× 407 0.8× 371 0.8× 496 1.1× 60 6.1k
Mikhail M. Savitski Germany 48 6.4k 1.8× 495 0.5× 231 0.4× 422 0.9× 730 1.6× 122 9.1k
Yoshitaka Moriwaki Japan 13 3.7k 1.0× 615 0.6× 649 1.3× 294 0.6× 531 1.1× 32 5.5k

Countries citing papers authored by Mohan Babu

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Babu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Babu

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Babu. A scholar is included among the top collaborators of Mohan Babu 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 Mohan Babu. Mohan Babu 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
2.
Moutaoufik, Mohamed Taha, Kevin J. Allen, Devin K. Brown, et al.. (2024). The Bifunctional Dimer Caffeine-Indan Attenuates α-Synuclein Misfolding, Neurodegeneration and Behavioral Deficits after Chronic Stimulation of Adenosine A1 Receptors. International Journal of Molecular Sciences. 25(17). 9386–9386. 1 indexed citations
4.
Clayton, Kiera, Ramy Malty, J. Javier Hernández, et al.. (2023). On a path toward a broad-spectrum anti-viral: inhibition of HIV-1 and coronavirus replication by SR kinase inhibitor harmine. Journal of Virology. 97(10). e0039623–e0039623. 6 indexed citations
6.
Aoki, Hiroyuki, et al.. (2023). HDL functionality is dependent on hepatocyte stress defense factors Nrf1 and Nrf2. Frontiers in Physiology. 14. 1212785–1212785. 5 indexed citations
7.
Moutaoufik, Mohamed Taha, et al.. (2022). Adenosine A1 receptor ligands bind to α-synuclein: implications for α-synuclein misfolding and α-synucleinopathy in Parkinson’s disease. Translational Neurodegeneration. 11(1). 9–9. 11 indexed citations
8.
Mehla, Jitender, George W. Liechti, Randy M. Morgenstein, et al.. (2021). ZapG (YhcB/DUF1043), a novel cell division protein in gamma-proteobacteria linking the Z-ring to septal peptidoglycan synthesis. Journal of Biological Chemistry. 296. 100700–100700. 8 indexed citations
9.
Stacey, R. Greg, John William Young, Irvinder Singh Wason, et al.. (2019). Profiling the Escherichia coli membrane protein interactome captured in Peptidisc libraries. eLife. 8. 50 indexed citations
10.
Rizzolo, Kamran, Ashwani Kumar, Yoshito Kakihara, et al.. (2018). Systems analysis of the genetic interaction network of yeast molecular chaperones. Molecular Omics. 14(2). 82–94. 13 indexed citations
11.
Kuznetsova, Ekaterina, B. Nocek, Greg Brown, et al.. (2015). Functional Diversity of Haloacid Dehalogenase Superfamily Phosphatases from Saccharomyces cerevisiae. Journal of Biological Chemistry. 290(30). 18678–18698. 78 indexed citations
12.
Samanfar, Bahram, Firoozeh Chalabian, Zongbin Wu, et al.. (2014). A global investigation of gene deletion strains that affect premature stop codon bypass in yeast, Saccharomyces cerevisiae. Molecular BioSystems. 10(4). 916–924. 24 indexed citations
13.
Wong, Keith S., Jamie Snider, Chris Graham, et al.. (2014). The MoxR ATPase RavA and Its Cofactor ViaA Interact with the NADH:Ubiquinone Oxidoreductase I in Escherichia coli. PLoS ONE. 9(1). e85529–e85529. 34 indexed citations
14.
Graef, Martin, Jonathan R. Friedman, Christopher I. Graham, Mohan Babu, & Jodi Nunnari. (2013). ER exit sites are physical and functional core autophagosome biogenesis components. Molecular Biology of the Cell. 24(18). 2918–2931. 287 indexed citations
15.
Babu, Mohan, Alla Gagarinova, & Andrew Emili. (2011). Array-Based Synthetic Genetic Screens to Map Bacterial Pathways and Functional Networks in Escherichia coli. Methods in molecular biology. 99–126. 12 indexed citations
16.
Taniguchi, Yuichi, Paul Choi, Gene‐Wei Li, et al.. (2010). Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells. Science. 329(5991). 533–538. 1505 indexed citations breakdown →
17.
Roy, Himadri, Shalini Bhardwaj, Mohan Babu, Johanna Lähteenvuo, & Seppo Ylä‐Herttuala. (2010). VEGF‐D△N△C mediated angiogenesis in skeletal muscles of diabetic WHHL rabbits. European Journal of Clinical Investigation. 40(5). 422–432. 9 indexed citations
18.
Babu, Mohan, Natalia Beloglazova, Robert Flick, et al.. (2010). A dual function of the CRISPR–Cas system in bacterial antivirus immunity and DNA repair. Molecular Microbiology. 79(2). 484–502. 200 indexed citations
19.
Babu, Mohan, Gabriel Musso, J. Javier Díaz-Mejía, et al.. (2009). Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes. Molecular BioSystems. 5(12). 1439–1455. 22 indexed citations
20.
Kumar, Arun, et al.. (2004). Genetic analysis of a five generation Indian family with BPES: a novel missense mutation (p.Y215C).. PubMed. 10. 445–9. 16 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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