Anuj Kumar

5.3k total citations · 2 hit papers
121 papers, 3.6k citations indexed

About

Anuj Kumar is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Anuj Kumar has authored 121 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 24 papers in Plant Science and 19 papers in Cell Biology. Recurrent topics in Anuj Kumar's work include Fungal and yeast genetics research (41 papers), RNA and protein synthesis mechanisms (17 papers) and Plant Pathogens and Fungal Diseases (14 papers). Anuj Kumar is often cited by papers focused on Fungal and yeast genetics research (41 papers), RNA and protein synthesis mechanisms (17 papers) and Plant Pathogens and Fungal Diseases (14 papers). Anuj Kumar collaborates with scholars based in United States, India and France. Anuj Kumar's co-authors include Anju Rani, Manu Pant, Ankita Lal, Surendra K. Gond, Ashish Mishra, M Snyder, Ravindra Nath Kharwar, Vijay Verma, Craig J. Dobry and Mark Gerstein and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Anuj Kumar

110 papers receiving 3.4k citations

Hit Papers

Subcellular localization of the yeast proteome 2002 2026 2010 2018 2002 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Subcellular localization of the yeast proteome
    2002 597 citations Anuj Kumar, Matthew Heidtman et al. profile →
  2. Cellular mechanisms of cadmium-induced toxicity: a review
    2013 566 citations Anuj Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuj Kumar United States 30 1.9k 785 671 539 399 121 3.6k
Masamichi Takagi Japan 38 3.1k 1.6× 1.1k 1.4× 370 0.6× 267 0.5× 277 0.7× 219 4.8k
Yoshiharu Inoue Japan 35 2.9k 1.5× 722 0.9× 393 0.6× 163 0.3× 144 0.4× 163 4.4k
Shingo Izawa Japan 30 2.5k 1.3× 580 0.7× 385 0.6× 139 0.3× 133 0.3× 105 3.4k
Xing Zhang China 39 3.6k 1.9× 2.5k 3.2× 314 0.5× 331 0.6× 126 0.3× 285 6.6k
Mauro Angeletti Italy 36 1.7k 0.9× 399 0.5× 302 0.5× 169 0.3× 117 0.3× 140 3.6k
Mostafa E. Rateb United Kingdom 40 1.8k 0.9× 1.1k 1.4× 452 0.7× 2.0k 3.7× 75 0.2× 168 5.0k
Xu Wang China 34 1.1k 0.6× 1.5k 1.9× 164 0.2× 136 0.3× 342 0.9× 106 3.7k
Xiaoyun He China 37 1.9k 1.0× 1.1k 1.5× 109 0.2× 167 0.3× 163 0.4× 167 3.8k
Dongli Li China 30 1.3k 0.7× 554 0.7× 216 0.3× 549 1.0× 41 0.1× 255 4.0k
Jagdeep Kaur India 36 2.3k 1.2× 1.1k 1.4× 119 0.2× 142 0.3× 135 0.3× 191 4.3k

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-authorship network of co-authors of Anuj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Kumar. A scholar is included among the top collaborators of Anuj 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 Anuj Kumar. Anuj 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, Anuj, et al.. (2025). Benzoxazole: Synthetic Methodology and Biological Activities. International Journal of Pharmaceutical Sciences Review and Research. 85(2).
2.
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Kumar, Anuj, et al.. (2024). Expanding a peptide-covalent probe hybrid for PET imaging of S. aureus driven focal infections. EJNMMI Radiopharmacy and Chemistry. 9(1). 25–25. 5 indexed citations
4.
Sunder, S., et al.. (2024). The yeast AMP-activated protein kinase Snf1 phosphorylates the inositol polyphosphate kinase Kcs1. Journal of Biological Chemistry. 300(2). 105657–105657. 5 indexed citations
5.
Banerjee, Aditya, et al.. (2024). Fluoride export is required for the competitive fitness of pathogenic microorganisms in dental biofilm models. mBio. 15(5). e0018424–e0018424. 5 indexed citations
6.
Sathish, T., Anirudh Gupta, Anuj Kumar, et al.. (2024). Sustainable nanoparticles of Non-Zero-valent iron (nZVI) production from various biological wastes. Journal of King Saud University - Science. 36(11). 103553–103553. 2 indexed citations
7.
Kumar, Anuj, et al.. (2023). Speed Analysis on Client Server Architecture Using HTTP/2 Over HTTP/1: A Generic Review. Lecture notes in networks and systems. 397–403.
8.
Mukherjee, Archana, et al.. (2023). Imaging of bacterial infection: Harnessing positron emission tomography and Cherenkov luminescence imaging with UBI‐derived octapeptide. Drug Development Research. 84(7). 1513–1521. 2 indexed citations
9.
Prakash, Surya, et al.. (2023). A Systematic Review on Machine Learning Fundamentals for Smart Home: Towards Smart City Solution. Preprints.org. 1 indexed citations
10.
Ganesan, Mahesh, et al.. (2022). Rheology of Candida albicans fungal biofilms. Journal of Rheology. 66(4). 683–697. 6 indexed citations
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Kumar, Anuj, et al.. (2019). Bioactivity of methanolic extract of Brassica juncea in animal model of diabetes mellitus. Chinese Herbal Medicines. 11(4). 434–437. 2 indexed citations
13.
14.
Cullen, Paul J., et al.. (2018). Inositol polyphosphates regulate and predict yeast pseudohyphal growth phenotypes. PLoS Genetics. 14(6). e1007493–e1007493. 14 indexed citations
15.
Kumar, Anuj, et al.. (2018). Messengers for morphogenesis: inositol polyphosphate signaling and yeast pseudohyphal growth. Current Genetics. 65(1). 119–125. 8 indexed citations
16.
Chabrier‐Roselló, Yeissa, Tao Xu, Qingxuan Song, et al.. (2011). A Large-Scale Complex Haploinsufficiency-Based Genetic Interaction Screen in Candida albicans: Analysis of the RAM Network during Morphogenesis. PLoS Genetics. 7(4). e1002058–e1002058. 43 indexed citations
17.
Verma, Vijay, Surendra K. Gond, Anuj Kumar, et al.. (2011). Endophytic Fungal Flora from Roots and Fruits of an Indian Neem Plant Azadirachta indica A. Juss., and Impact of Culture Media on their Isolation. Indian Journal of Microbiology. 51(4). 469–476. 41 indexed citations
18.
Ma, Jun, et al.. (2008). Analysis of the Yeast Kinome Reveals a Network of Regulated Protein Localization during Filamentous Growth. Molecular Biology of the Cell. 19(7). 2708–2717. 48 indexed citations
19.
Kumar, Arvind, Anuj Kumar, & Ravindra Nath Kharwar. (2006). Two new phytoparasitic hyphomycetes from Varanasi, India.. Indian Phytopathology. 59(1). 85–90. 6 indexed citations
20.
Kumar, Anuj, Michael Seringhaus, Matthew C. Biery, et al.. (2004). Large-Scale Mutagenesis of the Yeast Genome Using a Tn7-Derived Multipurpose Transposon. Genome Research. 14(10a). 1975–1986. 45 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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