Dibyendu Kumar

486 total citations
21 papers, 329 citations indexed

About

Dibyendu Kumar is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Dibyendu Kumar has authored 21 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Dibyendu Kumar's work include Cancer-related molecular mechanisms research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Dibyendu Kumar is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Dibyendu Kumar collaborates with scholars based in United States, Poland and Denmark. Dibyendu Kumar's co-authors include Yaping Feng, James H. Graham, Nian Wang, Jeffrey B. Jones, Fahong Yu, Pál Maliga, Zóra Sváb, João Carlos Setúbal, Maxuel O. Andrade and Frank F. White and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Dibyendu Kumar

20 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dibyendu Kumar United States 11 179 135 59 30 24 21 329
Chao Wei China 10 166 0.9× 155 1.1× 56 0.9× 94 3.1× 9 0.4× 12 372
Kung Ahn South Korea 13 195 1.1× 374 2.8× 120 2.0× 75 2.5× 11 0.5× 41 497
Phil Chi Khang Au Australia 7 257 1.4× 129 1.0× 18 0.3× 36 1.2× 8 0.3× 12 333
Minmin Sun China 9 52 0.3× 64 0.5× 68 1.2× 14 0.5× 3 0.1× 23 219
Kieran Bransfield United Kingdom 3 34 0.2× 178 1.3× 37 0.6× 28 0.9× 20 0.8× 3 304
Geert van Geest Netherlands 11 233 1.3× 124 0.9× 86 1.5× 5 0.2× 22 0.9× 18 329
Anna Samelak-Czajka Poland 11 231 1.3× 215 1.6× 106 1.8× 13 0.4× 8 0.3× 17 423
Claire Chung United States 8 68 0.4× 106 0.8× 43 0.7× 18 0.6× 9 0.4× 19 209
Christian Korfhage Germany 8 205 1.1× 237 1.8× 33 0.6× 21 0.7× 7 0.3× 14 401

Countries citing papers authored by Dibyendu Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dibyendu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dibyendu Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Dibyendu Kumar. A scholar is included among the top collaborators of Dibyendu 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 Dibyendu Kumar. Dibyendu 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.
Singh, Badri Nath, Joseph Kramer, Fei Wang, et al.. (2024). Tet-dependent 5-hydroxymethyl-Cytosine modification of mRNA regulates axon guidance genes in Drosophila. PLoS ONE. 19(2). e0293894–e0293894. 4 indexed citations
3.
Xia, Chang‐Qing, Dibyendu Kumar, Bei You, et al.. (2021). Wolf-Hirschhorn Syndrome with Hyperparathyroidism: A Case Report and a Narrative Review of the Literature. Journal of Pediatric Genetics. 12(4). 312–317.
4.
Fraser, L., Łukasz Paukszto, P. Brym, et al.. (2020). Regulatory Potential of Long Non-Coding RNAs (lncRNAs) in Boar Spermatozoa with Good and Poor Freezability. Life. 10(11). 300–300. 9 indexed citations
5.
Alhatem, Albert, Ruifang Zheng, Dongfang Liu, et al.. (2020). Cytogenetic and molecular landscape and its potential clinical significance in Hispanic CMML patients from Puerto Rico. Oncotarget. 11(47). 4411–4420. 4 indexed citations
6.
Piccoli, Benedetto, Yaping Feng, Laura Scheinfeldt, et al.. (2019). Habitat-Specific Clock Variation and Its Consequence on Reproductive Fitness. Journal of Biological Rhythms. 35(2). 134–144. 7 indexed citations
7.
Pareek, Chandra S., J. M. Jaśkowski, Mariusz T. Skowroński, et al.. (2019). Comparative Analysis of the Liver Transcriptome among Cattle Breeds Using RNA-seq. Veterinary Sciences. 6(2). 36–36. 11 indexed citations
8.
Wang, Chao, Yaping Feng, Chengyue Zhang, et al.. (2019). PTEN deletion drives aberrations of DNA methylome and transcriptome in different stages of prostate cancer. The FASEB Journal. 34(1). 1304–1318. 20 indexed citations
9.
Dong, Jiaqiang, Min Tu, Yaping Feng, et al.. (2018). Candidate gene identification of existing or induced mutations with pipelines applicable to large genomes. The Plant Journal. 97(4). 673–682. 12 indexed citations
10.
Pareek, Chandra S., Urszula Czarnik, L. Fraser, et al.. (2017). Single nucleotide polymorphism discovery in bovine liver using RNA-seq technology. PLoS ONE. 12(2). e0172687–e0172687. 12 indexed citations
11.
Wang, Nan, Yeting Zhang, Erika Gedvilaite, et al.. (2017). Using whole‐exome sequencing to investigate the genetic bases of lysosomal storage diseases of unknown etiology. Human Mutation. 38(11). 1491–1499. 6 indexed citations
12.
Xie, Gary, Myriam Bélanger, Dibyendu Kumar, et al.. (2017). Genome Sequence of Porphyromonas gingivalis Strain A7A1-28. Genome Announcements. 5(10). 6 indexed citations
13.
Huang, Jun, Qinghua Wang, Yaping Feng, et al.. (2017). Competitive Ability of Maize Pollen Grains Requires Paralogous Serine Threonine Protein Kinases STK1 and STK2. Genetics. 207(4). 1361–1370. 8 indexed citations
14.
Pareek, Chandra S., Rafał Smoczyński, Haja N. Kadarmideen, et al.. (2016). Single Nucleotide Polymorphism Discovery in Bovine Pituitary Gland Using RNA-Seq Technology. PLoS ONE. 11(9). e0161370–e0161370. 18 indexed citations
15.
Sváb, Zóra, et al.. (2016). Cell-to-cell movement of mitochondria in plants. Proceedings of the National Academy of Sciences. 113(12). 3395–3400. 53 indexed citations
16.
Dong, Jiaqiang, Yaping Feng, Dibyendu Kumar, et al.. (2016). Analysis of tandem gene copies in maize chromosomal regions reconstructed from long sequence reads. Proceedings of the National Academy of Sciences. 113(29). 7949–7956. 32 indexed citations
17.
Kumar, Dibyendu, et al.. (2014). Genome Sequence of the Boron-Tolerant and -Requiring Bacterium Bacillus boroniphilus. Genome Announcements. 2(1). 1 indexed citations
18.
Kumar, Dibyendu, Maxuel O. Andrade, Fahong Yu, et al.. (2013). Comparative genomic and transcriptome analyses of pathotypes of Xanthomonas citri subsp. citri provide insights into mechanisms of bacterial virulence and host range. BMC Genomics. 14(1). 551–551. 69 indexed citations
19.
Goodison, Steve, Virginia Urquidi, Dibyendu Kumar, Leticia Reyes, & Charles J. Rosser. (2013). Complete Genome Sequence of Mycoplasma hyorhinis Strain SK76. Genome Announcements. 1(1). 10 indexed citations
20.

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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