Manoj Kumar

13.4k citations
102 papers · 3.1k indexed · 1 hit paper · h-index 30

Manoj Kumar

94 papers receiving 3.0k citations

Hit Papers

Neuronal NLRP3 is a parkin substrate that drives neurodeg...13920222026202320244080120

Peers

Manoj Kumar
Comparison fields: 5 of 133
  • Microbiology 456
  • Molecular Biology 2.0k
  • Neurology 362
  • Computational Theory and Mathematics 314
  • Infectious Diseases 342
Replace David J. Gonzalez with:
David J. Gonzalez United States
Christian J A Sigrist Switzerland
Yan Wu China
Yumeng Yan China
Monique Gangloff United Kingdom
Noemí del‐Toro United Kingdom
Marina V. Serebryakova Russia
Hyun Lee United States
Susumu Kawamoto Japan
Nicolas Hulo Switzerland
Manoj Kumar relative to David J. Gonzalez United States David J. Gonzalez's profile →
Citations per field
00.5×9.2×
David J. Gonzalez · 1×
Citations per year

Countries citing papers authored by Manoj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20236
4 20234
5 202315
6 20235
7 20220
8 20226
9
Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s diseasebreakdown →
2022139
10 202221
11 20212
12 20218
13 202115
14 20211
15 202042
16 201915
17 201732
18 2017124
19 2017112
20 20173

About Manoj Kumar

Manoj Kumar is a scholar working on Microbiology, Aging, Molecular Biology, Computational Theory and Mathematics and Cancer Research, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Mosquito-borne diseases and control (14 papers), vaccines and immunoinformatics approaches (14 papers), MicroRNA in disease regulation (11 papers), Bacterial biofilms and quorum sensing (9 papers), RNA Interference and Gene Delivery (8 papers), Antimicrobial Peptides and Activities (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Microbiology (456 citations), Molecular Biology (2.0k citations), Neurology (362 citations), Computational Theory and Mathematics (314 citations) and Infectious Diseases (342 citations). Manoj Kumar has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Abid Qureshi, Nishant Thakur, Akanksha Rajput, Anamika Thakur, Himani Tandon, Amit Gupta, Valina L. Dawson, Ted M. Dawson, Karambir Kaur and Isha Monga. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Frontiers in Microbiology, Computational and Structural Biotechnology Journal and Database.

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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