Niraj Kumar

927 total citations
26 papers, 620 citations indexed

About

Niraj Kumar is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Niraj Kumar has authored 26 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Statistical and Nonlinear Physics and 5 papers in Condensed Matter Physics. Recurrent topics in Niraj Kumar's work include Gene Regulatory Network Analysis (8 papers), stochastic dynamics and bifurcation (5 papers) and Theoretical and Computational Physics (5 papers). Niraj Kumar is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), stochastic dynamics and bifurcation (5 papers) and Theoretical and Computational Physics (5 papers). Niraj Kumar collaborates with scholars based in United States, India and Germany. Niraj Kumar's co-authors include Rahul Kulkarni, Christian Seidel, Katja Lindenberg, Abhyudai Singh, Thierry Platini, Upendra Harbola, Massimiliano Esposito, Christian Van den Broeck, Werner Horsthemke and Abebe Nigussie and has published in prestigious journals such as Physical Review Letters, Macromolecules and Biophysical Journal.

In The Last Decade

Niraj Kumar

25 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niraj Kumar United States 12 285 140 108 99 96 26 620
Javier E. Satulovsky Brazil 8 127 0.4× 57 0.4× 75 0.7× 207 2.1× 19 0.2× 9 639
Vladimir V. Palyulin Russia 14 225 0.8× 114 0.8× 10 0.1× 80 0.8× 73 0.8× 27 705
Maximilian Bauer Germany 10 216 0.8× 77 0.6× 63 0.6× 9 0.1× 16 0.2× 33 459
Katja M. Taute United States 10 208 0.7× 96 0.7× 76 0.7× 11 0.1× 17 0.2× 13 745
В. Н. Орлов Russia 13 129 0.5× 45 0.3× 80 0.7× 25 0.3× 14 0.1× 96 533
Justin E. Jureller United States 11 189 0.7× 116 0.8× 20 0.2× 15 0.2× 12 0.1× 18 712
Pushpita Ghosh India 12 139 0.5× 130 0.9× 104 1.0× 8 0.1× 17 0.2× 31 506
Raphaël Sarfati United States 12 84 0.3× 53 0.4× 22 0.2× 98 1.0× 12 0.1× 18 422
Jaeoh Shin United States 10 188 0.7× 71 0.5× 18 0.2× 8 0.1× 37 0.4× 18 364
J. Dockery United States 10 300 1.1× 70 0.5× 120 1.1× 32 0.3× 2 0.0× 13 670

Countries citing papers authored by Niraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Niraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niraj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Niraj Kumar. A scholar is included among the top collaborators of Niraj Kumar 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 Niraj Kumar. Niraj Kumar 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.
Kumar, Niraj, et al.. (2024). Unraveling the role of exercise in cancer suppression: insights from a mathematical model. Physical Biology. 22(1). 16002–16002.
3.
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
4.
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
5.
Kumar, Niraj & Narayan Prasad Adhikari. (2018). Molecular dynamics study of diffusion of xenon in water at different temperatures. 16(2). 1 indexed citations
6.
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
7.
Kumar, Niraj, Tao Jia, Kourosh Zarringhalam, & Rahul Kulkarni. (2016). Frequency modulation of stochastic gene expression bursts by strongly interacting small RNAs. Physical review. E. 94(4). 42419–42419. 6 indexed citations
8.
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
9.
Soltani, Mohammad, Cesar A. Vargas-García, Niraj Kumar, Rahul Kulkarni, & Abhyudai Singh. (2015). Approximate statistical dynamics of a genetic feedback circuit. 309. 4424–4429. 2 indexed citations
10.
Gugsa, Getachew, et al.. (2014). Assessment of Small Ruminant Haemonchosis and Its Associated Risk Factors in and Around Finoteselam, Ethiopia. IOSR Journal of Agriculture and Veterinary Science. 7(12). 36–41. 13 indexed citations
11.
Kumar, Niraj, et al.. (2014). Welfare Assessment of Working Donkeys in Mekelle City, Ethiopia. Global Veterinaria. 12(3). 314–319. 16 indexed citations
12.
Kumar, Niraj, Thierry Platini, & Rahul Kulkarni. (2014). Exact Distributions for Stochastic Gene Expression Models with Bursting and Feedback. Physical Review Letters. 113(26). 268105–268105. 102 indexed citations
13.
Harbola, Upendra, Niraj Kumar, & Katja Lindenberg. (2014). Memory-induced anomalous dynamics in a minimal random walk model. Physical Review E. 90(2). 22136–22136. 25 indexed citations
14.
Xu, Xiaohua, Niraj Kumar, Arjun Krishnan, & Rahul Kulkarni. (2013). Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. 4068–4073. 3 indexed citations
15.
Esposito, Massimiliano, Niraj Kumar, Katja Lindenberg, & Christian Van den Broeck. (2012). Stochastically driven single-level quantum dot: A nanoscale finite-time thermodynamic machine and its various operational modes. Physical Review E. 85(3). 31117–31117. 50 indexed citations
16.
Kumar, Niraj, Christian Van den Broeck, Massimiliano Esposito, & Katja Lindenberg. (2011). Thermodynamics of a stochastic twin elevator. Physical Review E. 84(5). 51134–51134. 11 indexed citations
17.
Kumar, Niraj, Upendra Harbola, & Katja Lindenberg. (2010). Memory-induced anomalous dynamics: Emergence of diffusion, subdiffusion, and superdiffusion from a single random walk model. Physical Review E. 82(2). 21101–21101. 65 indexed citations
18.
Kumar, Niraj, et al.. (2007). Two-site self-consistent method for front propagation in reaction-diffusion systems. Physical Review E. 75(2). 21117–21117. 1 indexed citations
19.
Kumar, Niraj & Christian Seidel. (2007). Interaction between two polyelectrolyte brushes. Physical Review E. 76(2). 20801–20801. 32 indexed citations
20.
Kumar, Niraj, et al.. (2006). Velocity and diffusion coefficient ofA+AAreaction fronts in one dimension. Physical Review E. 74(1). 11109–11109. 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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