Neeraj Kumar

3.4k citations
56 papers · 1.7k · h-index 23

Impact in

Papers in

    • Protein Structure and Dynamics 9
    • Porphyrin Metabolism and Disorders 7
    • Machine Learning in Materials Science 11
    • Porphyrin and Phthalocyanine Chemistry 5

Neeraj Kumar

52 papers receiving 1.7k citations

Peers

Neeraj Kumar
Comparison fields: 5 of 139
  • Renewable Energy, Sustainability and the Environment 531
  • Process Chemistry and Technology 70
  • Electrochemistry 101
  • Inorganic Chemistry 222
  • Catalysis 74
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Citations per field
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Citations per year

Countries citing papers authored by Neeraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neeraj 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 Neeraj Kumar Line = papers co-authored together Neeraj Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017273
2 2016187
3 2019139
4 202185
5 201877
6 201969
7 201653
8 201249
9 201348
10 201446
11 202044
12 202241
13 201540
14 201537
15 202335
16 202134
17 202134
18 201132
19 202126
20 202226

About Neeraj Kumar

Neeraj Kumar is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (11 papers), Protein Structure and Dynamics (9 papers), Metalloenzymes and iron-sulfur proteins (8 papers), Porphyrin Metabolism and Disorders (7 papers), Electrocatalysts for Energy Conversion (7 papers), Porphyrin and Phthalocyanine Chemistry (5 papers) and CO2 Reduction Techniques and Catalysts (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (531 citations), Process Chemistry and Technology (70 citations), Electrochemistry (101 citations), Inorganic Chemistry (222 citations) and Catalysis (74 citations). Neeraj Kumar has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Simone Raugei, Thomas Clavel, Ilias Lagkouvardos, Sandra E. Fischer, Rajendra P. Joshi, Pawel M. Kozlowski, Michael L. Pegis, James M. Mayer, R. Morris Bullock and Bradley A. McKeown. Their work appears in journals such as The Journal of Physical Chemistry B, Scientific Reports, ACS Applied Materials & Interfaces, The Journal of Physical Chemistry A and ACS Omega.

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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