Niraj Kumar

927 citations
26 papers · 620 · h-index 12

Impact in

Papers in

Niraj Kumar

25 papers receiving 598 citations

Peers

Niraj Kumar
Comparison fields: 5 of 97
  • Surfaces, Coatings and Films 99
  • Statistical and Nonlinear Physics 140
  • Equine 18
  • Physical and Theoretical Chemistry 96
  • Modeling and Simulation 36
Replace Vladimir V. Palyulin with:
Vladimir V. Palyulin Russia
Javier E. Satulovsky Brazil
В. Н. Орлов Russia
Katja M. Taute United States
Maximilian Bauer Germany
M. E. Cates United Kingdom
Asher Preska Steinberg United States
Zhicheng Long China
Raphaël Sarfati United States
Justin E. Jureller United States
Niraj Kumar relative to Vladimir V. Palyulin Russia Vladimir V. Palyulin's profile →
Citations per field
00.5×1.5×
Vladimir V. Palyulin · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Niraj Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niraj Kumar Line = papers co-authored together Niraj Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015126
2 2005105
3 2014102
4 201065
5 201250
6 200732
7 201425
8
Welfare Assessment of Working Donkeys in Mekelle City, Ethiopia
201416
9 201816
10 202315
11 201413
12 201012
13 201111
14 20166
15 20184
16 20193
17 20193
18 20063
19 20133
20 20152

About Niraj Kumar

Niraj Kumar is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 26 papers that have together received 620 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Theoretical and Computational Physics (5 papers), stochastic dynamics and bifurcation (5 papers), Stochastic processes and statistical mechanics (4 papers), Electrostatics and Colloid Interactions (3 papers), Evolution and Genetic Dynamics (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (99 citations), Statistical and Nonlinear Physics (140 citations), Equine (18 citations), Physical and Theoretical Chemistry (96 citations) and Modeling and Simulation (36 citations). Niraj Kumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Rahul Kulkarni, Christian Seidel, Katja Lindenberg, Abhyudai Singh, Thierry Platini, Upendra Harbola, Christian Van den Broeck, Massimiliano Esposito, Werner Horsthemke and Abebe Nigussie. Their work appears in journals such as Physical Biology, Macromolecules, Physica A Statistical Mechanics and its Applications, Physical review. E and Physical Review Letters.

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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