Rahul Kulkarni

3.1k total citations · 1 hit paper
65 papers, 2.2k citations indexed

About

Rahul Kulkarni is a scholar working on Molecular Biology, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Rahul Kulkarni has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Genetics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Rahul Kulkarni's work include Gene Regulatory Network Analysis (16 papers), Bacterial Genetics and Biotechnology (14 papers) and RNA and protein synthesis mechanisms (10 papers). Rahul Kulkarni is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Bacterial Genetics and Biotechnology (14 papers) and RNA and protein synthesis mechanisms (10 papers). Rahul Kulkarni collaborates with scholars based in United States, India and United Kingdom. Rahul Kulkarni's co-authors include Bonnie L. Bassler, Ned S. Wingreen, Kenny C. Mok, Brendan N. Lilley, Tao Jia, Niraj Kumar, D. Stroud, Jun Zhu, Melissa B. Miller and Thierry Platini and has published in prestigious journals such as Cell, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Rahul Kulkarni

61 papers receiving 2.1k citations

Hit Papers

The Small RNA Chaperone Hfq and Multiple Small RNAs Contr... 2004 2026 2011 2018 2004 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Small RNA Chaperone Hfq and Multiple Small RNAs Control Quorum Sensing in Vibrio harveyi and Vibrio cholerae
    2004 768 citations Rahul Kulkarni et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Kulkarni United States 20 1.6k 794 620 310 186 65 2.2k
Ole Skovgaard Denmark 23 896 0.6× 742 0.9× 353 0.6× 282 0.9× 93 0.5× 64 1.8k
Shahid Khan United States 35 1.7k 1.1× 794 1.0× 208 0.3× 255 0.8× 131 0.7× 100 3.3k
Avigdor Eldar Israel 25 2.4k 1.5× 838 1.1× 119 0.2× 324 1.0× 113 0.6× 43 3.1k
Phuong Dao United States 15 1.8k 1.1× 324 0.4× 185 0.3× 475 1.5× 163 0.9× 24 2.9k
Hao Ge China 20 1.5k 1.0× 528 0.7× 78 0.1× 162 0.5× 147 0.8× 92 2.6k
Edo Kussell United States 22 1.9k 1.2× 1.3k 1.6× 125 0.2× 267 0.9× 39 0.2× 43 2.8k
Chieko Wada Japan 27 1.8k 1.1× 1.2k 1.5× 194 0.3× 470 1.5× 60 0.3× 62 2.3k
Ivan V. Surovtsev United States 17 1.7k 1.1× 1.0k 1.3× 123 0.2× 547 1.8× 37 0.2× 34 2.5k
Nic M. Vega United States 11 1.5k 0.9× 420 0.5× 134 0.2× 203 0.7× 45 0.2× 27 2.0k
Jie Xiao United States 31 2.5k 1.6× 1.3k 1.7× 136 0.2× 656 2.1× 80 0.4× 116 3.9k

Countries citing papers authored by Rahul Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Kulkarni. A scholar is included among the top collaborators of Rahul Kulkarni 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 Rahul Kulkarni. Rahul Kulkarni 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.
Kulkarni, Rahul. (2023). Role and Importance of Computational Statistics in Machine Learning. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 7(8). 1 indexed citations
2.
Kumar, Niraj & Rahul Kulkarni. (2019). Constraining the complexity of promoter dynamics using fluctuations in gene expression. Physical Biology. 17(1). 15001–15001. 3 indexed citations
3.
Kumar, Niraj & Rahul Kulkarni. (2019). A stochastic model for post-transcriptional regulation of rare events in gene expression. Physical Biology. 16(4). 45003–45003. 3 indexed citations
4.
Kumar, Niraj, Kourosh Zarringhalam, & Rahul Kulkarni. (2018). Stochastic Modeling of Gene Regulation by Noncoding Small RNAs in the Strong Interaction Limit. Biophysical Journal. 114(11). 2530–2539. 4 indexed citations
5.
Chen, Ping, et al.. (2017). Prediction of bacterial small RNAs in the RsmA (CsrA) and ToxT pathways: a machine learning approach. BMC Genomics. 18(1). 645–645. 11 indexed citations
6.
Horowitz, Jordan M. & Rahul Kulkarni. (2017). Stochastic gene expression conditioned on large deviations. Physical Biology. 14(3). 03LT01–03LT01. 12 indexed citations
7.
Zarringhalam, Kourosh, et al.. (2017). Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach. Scientific Reports. 7(1). 7755–7755. 17 indexed citations
8.
Kumar, Sandeep, Rahul Kulkarni, & Shamik Sen. (2016). Cell motility and ECM proteolysis regulate tumor growth and tumor relapse by altering the fraction of cancer stem cells and their spatial scattering. Physical Biology. 13(3). 36001–36001. 13 indexed citations
9.
Kumar, Niraj, Abhyudai Singh, & Rahul Kulkarni. (2015). Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. PLoS Computational Biology. 11(10). e1004292–e1004292. 126 indexed citations
10.
Kulkarni, Rahul, et al.. (2013). Exact protein distributions for stochastic models of gene expression. Bulletin of the American Physical Society. 2013. 1 indexed citations
11.
Baker, Charles J., Tao Jia, & Rahul Kulkarni. (2012). Stochastic modeling of regulation of gene expression by multiple small RNAs. Physical Review E. 85(6). 61915–61915. 17 indexed citations
12.
Jia, Tao & Rahul Kulkarni. (2011). Intrinsic Noise in Stochastic Models of Gene Expression with Molecular Memory and Bursting. Physical Review Letters. 106(5). 58102–58102. 96 indexed citations
13.
Fenley, Andrew T., Suman Kumar Banik, & Rahul Kulkarni. (2011). Computational modeling of differences in the quorum sensing induced luminescence phenotypes of Vibrio harveyi and Vibrio cholerae. Journal of Theoretical Biology. 274(1). 145–153. 3 indexed citations
14.
Elgart, Vlad, Tao Jia, & Rahul Kulkarni. (2010). Quantifying mRNA Synthesis and Decay Rates Using Small RNAs. Biophysical Journal. 98(12). 2780–2784. 13 indexed citations
15.
Banik, Suman Kumar, Andrew T. Fenley, & Rahul Kulkarni. (2009). A model for signal transduction during quorum sensing inVibrio harveyi. Physical Biology. 6(4). 46008–46008. 13 indexed citations
16.
Almaas, Eivind, Rahul Kulkarni, & D. Stroud. (2003). Scaling properties of random walks on small-world networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(5). 56105–56105. 49 indexed citations
17.
Kulkarni, Rahul, Alexander Slepoy, Rajiv Singh, D. L. Cox, & Ferenc Pázmándi. (2003). Theoretical Modeling of Prion Disease Incubation. Biophysical Journal. 85(2). 707–718. 13 indexed citations
18.
LaBute, Montiago, Rahul Kulkarni, Robert G. Endres, & D. M. Cox. (2002). Strong electron correlations in cobalt valence tautomers: Evidence from X-ray Absorption. APS March Meeting Abstracts. 1 indexed citations
19.
Slepoy, Alexander, Rajiv Singh, Ferenc Pázmándi, Rahul Kulkarni, & D. L. Cox. (2001). Statistical Mechanics of Prion Diseases. Physical Review Letters. 87(5). 58101–58101. 27 indexed citations
20.
Stroud, D. & Rahul Kulkarni. (1998). Ab Initio molecular dynamics simulation of liquid Ga-Ge alloys. APS March Meeting Abstracts. 1 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

Breakdown of academic impact, for papers by Ole Skovgaard Breakdown of academic impact, for papers by Shahid Khan Breakdown of academic impact, for papers by Avigdor Eldar Breakdown of academic impact, for papers by Phuong Dao Breakdown of academic impact, for papers by Hao Ge Breakdown of academic impact, for papers by Edo Kussell Breakdown of academic impact, for papers by Chieko Wada Breakdown of academic impact, for papers by Ivan V. Surovtsev Breakdown of academic impact, for papers by Nic M. Vega Breakdown of academic impact, for papers by Jie Xiao
Rankless by CCL
2026