Nitin Kumar

1.1k total citations
33 papers, 608 citations indexed

About

Nitin Kumar is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nitin Kumar has authored 33 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 13 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Nitin Kumar's work include Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers) and Plant Disease Resistance and Genetics (4 papers). Nitin Kumar is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers) and Plant Disease Resistance and Genetics (4 papers). Nitin Kumar collaborates with scholars based in India, Switzerland and United Kingdom. Nitin Kumar's co-authors include Michael Baudis, Haoyang Cai, S. S. Banga, J. Peter W. Young, Elisa Giuntini, Xavier Bailly, Javed Akhatar, Nishchol Mishra, Christian von Mering and Homayoun C. Bagheri and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Nitin Kumar

32 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Kumar India 14 311 285 115 89 56 33 608
Saad M. Khan United States 15 360 1.2× 312 1.1× 66 0.6× 33 0.4× 11 0.2× 22 803
Isaac Ho United States 5 93 0.3× 344 1.2× 97 0.8× 29 0.3× 45 0.8× 6 500
Sangjo Han South Korea 12 552 1.8× 519 1.8× 36 0.3× 97 1.1× 11 0.2× 28 1.0k
Izaskun Mallona Spain 11 146 0.5× 665 2.3× 89 0.8× 122 1.4× 7 0.1× 21 836
Hongzhi Wang China 16 409 1.3× 506 1.8× 50 0.4× 100 1.1× 40 0.7× 45 802
Brandon Monier United States 8 205 0.7× 220 0.8× 115 1.0× 40 0.4× 30 0.5× 10 442
Wenxue Ye China 21 1.0k 3.3× 575 2.0× 183 1.6× 45 0.5× 34 0.6× 43 1.4k
Zhennan Xu China 16 340 1.1× 304 1.1× 85 0.7× 81 0.9× 14 0.3× 36 628
Honghao Bi United States 10 589 1.9× 990 3.5× 122 1.1× 75 0.8× 12 0.2× 21 1.2k

Countries citing papers authored by Nitin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Kumar. A scholar is included among the top collaborators of Nitin 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 Nitin Kumar. Nitin 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.
Kamaluddin, Kammaluddin, et al.. (2024). Identification of blast resistant finger millet (Eleusine coracana L.) genotype through phenotypic screening and molecular profiling. Scientific Reports. 14(1). 32080–32080. 3 indexed citations
2.
Cezard, Timothée, Fiona Cunningham, Sarah Hunt, et al.. (2021). The European Variation Archive: a FAIR resource of genomic variation for all species. Nucleic Acids Research. 50(D1). D1216–D1220. 62 indexed citations
3.
Chhapekar, Sushil Satish, Nitin Kumar, Vijaya Brahma, et al.. (2021). Profiling of miRNAs in Bhut Jolokia (Capsicum chinense) and Kon Jolokia (C. frutescens) of Northeast India. Scientia Horticulturae. 281. 109952–109952. 5 indexed citations
4.
Chhapekar, Sushil Satish, Vijaya Brahma, Abdul Rawoof, et al.. (2020). Transcriptome profiling, simple sequence repeat markers development and genetic diversity analysis of potential industrial crops Capsicum chinense and C. frutescens of Northeast India. Industrial Crops and Products. 154. 112687–112687. 13 indexed citations
5.
Rawoof, Abdul, Sushil Satish Chhapekar, Vandana Jaiswal, et al.. (2020). Single-base cytosine methylation analysis in fruits of three Capsicum species. Genomics. 112(5). 3342–3353. 7 indexed citations
6.
Akhatar, Javed, et al.. (2020). Genome wide association mapping and candidate gene analysis for pod shatter resistance in Brassica juncea and its progenitor species. Molecular Biology Reports. 47(4). 2963–2974. 14 indexed citations
7.
Rana, Kusum, Chhaya Atri, Javed Akhatar, et al.. (2019). Detection of First Marker Trait Associations for Resistance Against Sclerotinia sclerotiorum in Brassica juncea–Erucastrum cardaminoides Introgression Lines. Frontiers in Plant Science. 10. 1015–1015. 30 indexed citations
8.
Jaiswal, Vandana, Abdul Rawoof, Ajay Kumar, et al.. (2019). Identification of genes involved in fruit development/ripening in Capsicum and development of functional markers. Genomics. 111(6). 1913–1922. 28 indexed citations
9.
10.
Rana, Kusum, Chhaya Atri, Mehak Gupta, et al.. (2017). Mapping resistance responses to Sclerotinia infestation in introgression lines of Brassica juncea carrying genomic segments from wild Brassicaceae B. fruticulosa. Scientific Reports. 7(1). 5904–5904. 43 indexed citations
11.
Chandra, Subhash, et al.. (2017). Effect of Different Feeding Ingredient under Field Condition on Reproductive Performance and its Validation in High Yielding Murrah Buffaloes at Farm Level. International Journal of Current Microbiology and Applied Sciences. 6(12). 2745–2748. 2 indexed citations
12.
Kumar, Nitin, et al.. (2016). A Snapshot of Research Papers in Non-English Languages. Current Science. 111(1). 9–10. 1 indexed citations
13.
Kumar, Nitin, et al.. (2016). India's Contribution in the Journal Nature. Current Science. 110(7). 1135–1137. 3 indexed citations
14.
Kumar, Nitin & Nishchol Mishra. (2015). Load Balancing Techniques: Need, Objectives and Major Challenges in Cloud Computing- A Systematic Review. International Journal of Computer Applications. 131(18). 11–19. 25 indexed citations
15.
Cai, Haoyang, Nitin Kumar, Homayoun C. Bagheri, et al.. (2014). Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens. BMC Genomics. 15(1). 82–82. 81 indexed citations
16.
Gupta, Mehak, et al.. (2014). Population structure and breeding value of a new type of Brassica juncea created by combining A and B genomes from related allotetraploids. Theoretical and Applied Genetics. 128(2). 221–234. 14 indexed citations
17.
18.
Cai, Haoyang, et al.. (2013). Progenetix: 12 years of oncogenomic data curation. Nucleic Acids Research. 42(D1). D1055–D1062. 26 indexed citations
19.
Kumar, Nitin, Haoyang Cai, Christian von Mering, & Michael Baudis. (2012). Specific Genomic Regions Are Differentially Affected by Copy Number Alterations across Distinct Cancer Types, in Aggregated Cytogenetic Data. PLoS ONE. 7(8). e43689–e43689. 1 indexed citations
20.
Kumar, Nitin, Hubert Rehrauer, Haoyang Cai, & Michael Baudis. (2011). CDCOCA: A statistical method to define complexity dependence of co-occuring chromosomal aberrations. BMC Medical Genomics. 4(1). 21–21. 6 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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