Anuj Kumar

5.4k citations
145 papers · 4.0k · 2 hit papers · h-index 31

Impact in

    • Plant Pathogens and Fungal Diseases
    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications

Papers in

    • Fungal and yeast genetics research 41
    • RNA and protein synthesis mechanisms 17
    • CRISPR and Genetic Engineering 7
    • Plant-Microbe Interactions and Immunity 6

Anuj Kumar

128 papers receiving 3.9k citations

Anuj Kumar's Hit Papers

Cellular mechanisms of cadmium-induced toxicity: a review 2013 · 604 citations
6040+8+16Years since publication200400600

Peers

Anuj Kumar
Comparison fields: 5 of 167
  • Cell Biology 791
  • Pharmacology 682
  • Health, Toxicology and Mutagenesis 427
  • Molecular Biology 2.0k
  • Plant Science 893
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Anuj Kumar relative to Masamichi Takagi Japan Masamichi Takagi's profile →
Citations per field
00.5×3.0×
Masamichi Takagi · 1×
Citations per year

Countries citing papers authored by Anuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Subcellular localization of the yeast proteome
Hit paper breakdown →
2002619
2
Cellular mechanisms of cadmium-induced toxicity: a review
Hit paper breakdown →
2013604
3 2008197
4 2008131
5 2007124
6 2012114
7 2007109
8 2011107
9 200292
10 200287
11 201081
12 200072
13 200269
14 201253
15 201153
16 200950
17 201848
18 200448
19 200848
20 202047

About Anuj Kumar

Anuj Kumar is a scholar working on Molecular Biology, Plant Science, Cell Biology, Pharmacology and Biomedical Engineering, having authored 145 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (41 papers), Plant Pathogens and Fungal Diseases (17 papers), RNA and protein synthesis mechanisms (17 papers), Fungal Biology and Applications (14 papers), Microbial Natural Products and Biosynthesis (11 papers), Antifungal resistance and susceptibility (11 papers), CRISPR and Genetic Engineering (7 papers) and Plant-Microbe Interactions and Immunity (6 papers). The work is most often cited by research in Cell Biology (791 citations), Pharmacology (682 citations), Health, Toxicology and Mutagenesis (427 citations), Molecular Biology (2.0k citations) and Plant Science (893 citations). Anuj Kumar has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Surendra K. Gond, Ankita Lal, Anju Rani, Manu Pant, Ashish Mishra, Ravindra Nath Kharwar, M Snyder, Vijay Verma, Craig J. Dobry and Mark Gerstein. Their work appears in journals such as Genetics, PLoS Genetics, Eukaryotic Cell, mBio and Nucleic Acids Research.

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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