Anuj Kumar

11.1k total citations
147 papers, 3.3k citations indexed

About

Anuj Kumar is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Anuj Kumar has authored 147 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 52 papers in Plant Science and 16 papers in Genetics. Recurrent topics in Anuj Kumar's work include Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (14 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Anuj Kumar is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (14 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Anuj Kumar collaborates with scholars based in India, United States and Canada. Anuj Kumar's co-authors include P. K. Gupta, M Snyder, Matthew Kam, Vijay Gahlaut, H. S. Balyan, John Canny, Mansi Sharma, MNV Prasad Gajula, Vandana Jaiswal and Sanjay Kumar and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anuj Kumar

133 papers receiving 3.2k citations

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 India 31 1.3k 1.2k 350 231 198 147 3.3k
Esmaeil Ebrahimie Australia 30 937 0.7× 1.6k 1.4× 443 1.3× 52 0.2× 126 0.6× 193 3.4k
Muhammad Naveed Pakistan 46 2.9k 2.2× 1.6k 1.4× 177 0.5× 596 2.6× 300 1.5× 320 7.4k
Karthik Raman India 31 677 0.5× 2.2k 1.9× 168 0.5× 166 0.7× 287 1.4× 174 3.8k
Ke Wang China 38 2.4k 1.8× 2.1k 1.8× 484 1.4× 45 0.2× 26 0.1× 236 4.9k
Han Zhang China 25 756 0.6× 1.8k 1.6× 187 0.5× 34 0.1× 35 0.2× 109 3.8k
Peter Neubauer Germany 49 531 0.4× 5.7k 5.0× 874 2.5× 43 0.2× 64 0.3× 396 9.1k
H.J.P. Marvin Netherlands 41 1.0k 0.8× 1.2k 1.1× 193 0.6× 107 0.5× 66 0.3× 93 6.6k
Xing‐Ming Zhao China 38 325 0.2× 3.5k 3.0× 304 0.9× 35 0.2× 677 3.4× 183 4.9k
Jie Hou China 30 392 0.3× 1.5k 1.3× 158 0.5× 42 0.2× 227 1.1× 166 3.0k
Rickey Y. Yada Canada 42 2.5k 1.8× 1.9k 1.6× 113 0.3× 136 0.6× 81 0.4× 258 7.3k

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.
Kumari, Diksha, Jaspreet Kour, Anuj Kumar, et al.. (2025). Novel pyrazole derivatives as inhibitors of Leishmania donovani: an integrated approach combining in vitro analysis and mechanistic insights. Bioorganic Chemistry. 164. 108804–108804. 4 indexed citations
2.
Kumar, Anuj, et al.. (2025). Epidemiology and prevention of gastric cancer: A comprehensive review. Seminars in Oncology. 52(3). 152341–152341. 1 indexed citations
3.
Kim, Junyoung, Anuj Kumar, Sanket Bhoyate, et al.. (2024). Nano Horizons: Exploring the untapped power of two-Dimensional materials. Materials Science and Engineering B. 310. 117673–117673. 2 indexed citations
4.
Avashthi, Himanshu, U. B. Angadi, Anuj Kumar, et al.. (2024). Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.). Briefings in Functional Genomics. 23(6). 828–842. 1 indexed citations
5.
6.
Agarwal, Priyanka, et al.. (2024). Marker-assisted introgression of leaf rust resistance from Triticum turgidum cv. Trinakria to bread wheat variety HD3086. Indian Journal of Genetics and Plant Breeding (The). 84(3).
7.
8.
Kumar, Anuj, et al.. (2024). IoT-Enabled CVM Design & Architecture for E-Waste Management: A Solution towards Environmental Sustainability. Evergreen. 11(1). 343–353. 3 indexed citations
9.
Shukla, Rohit, Anshuman Chandra, Anuj Kumar, et al.. (2023). Repurposing of drugs against methyltransferase as potential Zika virus therapies. Scientific Reports. 13(1). 7870–7870. 6 indexed citations
10.
Pandita, Deepu, Javaid Akhter Bhat, Shabir Hussain Wani, et al.. (2023). Mobile Signaling Peptides: Secret Molecular Messengers with a Mighty Role in Plant Life. Journal of Plant Growth Regulation. 42(10). 6801–6834. 10 indexed citations
11.
Meher, Prabina Kumar, Ajit Gupta, Sachin Rustgi, et al.. (2023). Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat ( Triticum aestivum L.). The Plant Genome. 16(4). e20332–e20332. 1 indexed citations
12.
Dash, Manasi, et al.. (2023). Phenotypic and genotypic assessment of elite rice varieties for brown plant hopper (Nilaparvata lugens Stål.) resistance. Cereal Research Communications. 51(4). 821–833. 3 indexed citations
13.
Meher, Prabina Kumar, Tanmaya Kumar Sahu, Ajit Gupta, Anuj Kumar, & Sachin Rustgi. (2022). ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants. The Plant Genome. 17(1). e20259–e20259. 10 indexed citations
14.
Suravajhala, Renuka, Abhinav Parashar, Gourav Choudhir, et al.. (2021). Molecular docking and dynamics studies of curcumin with COVID-19 proteins. Network Modeling Analysis in Health Informatics and Bioinformatics. 10(1). 44–44. 20 indexed citations
15.
16.
Nagaraju, M., Sanjay Kumar, Palakolanu Sudhakar Reddy, et al.. (2019). Genome-scale identification, classification, and tissue specific expression analysis of late embryogenesis abundant (LEA) genes under abiotic stress conditions in Sorghum bicolor L.. PLoS ONE. 14(1). e0209980–e0209980. 61 indexed citations
17.
Kumar, Anuj, et al.. (2019). A model to predict the function of hypothetical proteins through a nine-point classification scoring schema. BMC Bioinformatics. 20(1). 14–14. 32 indexed citations
18.
Kumar, Jitendra, Reyazul Rouf Mir, Neeraj Kumar, et al.. (2010). Marker‐assisted selection for pre‐harvest sprouting tolerance and leaf rust resistance in bread wheat. Plant Breeding. 129(6). 617–621. 41 indexed citations
19.
Kumar, Anuj, et al.. (2003). Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks.. Indian International Conference on Artificial Intelligence. 676–684. 2 indexed citations
20.
Sundararajan, Vijayaraghava Seshadri, et al.. (1969). HYPO: A Database of Hypothetical Human Proteins. Protein and Peptide Letters. 25. 1–5. 2 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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