Sundip Kumar

725 total citations
42 papers, 474 citations indexed

About

Sundip Kumar is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Sundip Kumar has authored 42 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Agronomy and Crop Science. Recurrent topics in Sundip Kumar's work include Wheat and Barley Genetics and Pathology (13 papers), Genetics and Plant Breeding (11 papers) and Plant Micronutrient Interactions and Effects (9 papers). Sundip Kumar is often cited by papers focused on Wheat and Barley Genetics and Pathology (13 papers), Genetics and Plant Breeding (11 papers) and Plant Micronutrient Interactions and Effects (9 papers). Sundip Kumar collaborates with scholars based in India, United States and Serbia. Sundip Kumar's co-authors include H. S. Dhaliwal, Kumari Neelam, Nidhi Rawat, G. S. Randhawa, Vijay Tiwari, Neeraj Pal, Dinesh Kumar Saini, Kaushal Pratap Singh, Apoorv Tiwari and Upendra Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Sundip Kumar

40 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundip Kumar India 15 399 84 70 53 52 42 474
Sujata Vasudev India 12 294 0.7× 171 2.0× 59 0.8× 13 0.2× 41 0.8× 46 383
Julien Bonneau Australia 13 467 1.2× 95 1.1× 67 1.0× 62 1.2× 47 0.9× 16 519
Jinxin Liu China 9 414 1.0× 201 2.4× 47 0.7× 32 0.6× 22 0.4× 37 526
Sneh Narwal India 13 357 0.9× 76 0.9× 17 0.2× 54 1.0× 28 0.5× 36 457
Barat Ali Fakheri Iran 13 428 1.1× 154 1.8× 116 1.7× 68 1.3× 15 0.3× 73 561
Huajie Fan China 9 716 1.8× 313 3.7× 25 0.4× 30 0.6× 12 0.2× 12 801
Martine Rigault France 12 572 1.4× 126 1.5× 16 0.2× 11 0.2× 12 0.2× 16 647
Hongzheng Sun China 14 672 1.7× 237 2.8× 125 1.8× 43 0.8× 16 0.3× 34 759
Krishna Hari Dhakal Nepal 11 253 0.6× 39 0.5× 16 0.2× 116 2.2× 45 0.9× 42 359
James O. Garner United States 10 315 0.8× 68 0.8× 52 0.7× 70 1.3× 15 0.3× 26 408

Countries citing papers authored by Sundip Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sundip Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundip Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sundip Kumar. A scholar is included among the top collaborators of Sundip 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 Sundip Kumar. Sundip 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.
Sharma, Chhavi, Pushpa Lohani, Anuj Kumar, et al.. (2025). Impact of green synthesized iron oxide nanoparticles from Rhododendron arboretum on wheat (Triticum aestivum): Evaluation of morpho-physiological, biochemical and yield attributes. Biocatalysis and Agricultural Biotechnology. 67. 103640–103640.
2.
Pal, Neeraj, Dinesh Kumar Saini, Reyazul Rouf Mir, et al.. (2024). Identification and expression analysis of genomic regions associated with the traits contributing to lodging tolerance in wheat (Triticum aestivum L.). European Journal of Agronomy. 154. 127073–127073. 4 indexed citations
3.
Kumar, Sandeep, Dinesh Kumar Saini, Ivica Djalović, et al.. (2023). Comprehensive meta-QTL analysis for dissecting the genetic architecture of stripe rust resistance in bread wheat. BMC Genomics. 24(1). 259–259. 21 indexed citations
4.
Tiwari, Apoorv, et al.. (2023). Applications and Utility of Three-Dimensional In Vitro Cell Culture for Therapeutics. SHILAP Revista de lepidopterología. 3(1). 213–228. 15 indexed citations
5.
Djalović, Ivica, Neeraj Pal, Reyazul Rouf Mir, et al.. (2022). Effect of stem structural characteristics and cell wall components related to stem lodging resistance in a newly identified mutant of hexaploid wheat (Triticum aestivum L.). Frontiers in Plant Science. 13. 1067063–1067063. 14 indexed citations
6.
Pal, Neeraj, Irfat Jan, Dinesh Kumar Saini, et al.. (2022). Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 135(7). 2385–2405. 31 indexed citations
7.
Kumar, D., et al.. (2022). Sire evaluation using conventional methods and animal models in Sahiwal cattle. The Indian Journal of Animal Sciences. 92(4). 492–496.
10.
Kumar, Sundip, et al.. (2020). Path analysis studies of EMS-mutagenized mutant population of hexaploid wheat (Triticum aestivum L.). International Journal of Chemical Studies. 8(6). 391–394. 2 indexed citations
11.
Singh, Kamendra, et al.. (2020). Qualitative characterization of diverse germplasm of soybean (Glycine max (L.) Merrill). International Journal of Chemical Studies. 8(6). 866–872. 1 indexed citations
12.
Kumar, Upendra, Anuj Kumar, Sanjay Kumar, et al.. (2018). Identification, expression analysis, and molecular modeling of Iron-deficiency-specific clone 3 (Ids3)-like gene in hexaploid wheat. 3 Biotech. 8(4). 219–219. 16 indexed citations
13.
Tripathi, Anurag, et al.. (2017). Study on heritability genetic advance and genetic variability in maize genotypes (Zea mays L.). International Journal of Chemical Studies. 5(4). 2075–2077. 1 indexed citations
14.
Kumar, Sundip, et al.. (2017). Two pseudomonad strains facilitate AMF mycorrhization of litchi (Litchi chinensis Sonn.) and improving phosphorus uptake. Rhizosphere. 3. 196–202. 18 indexed citations
15.
Singh, Jasmeet, Imran Sheikh, Prachi Sharma, et al.. (2016). Transfer of HMW glutenin subunits from Aegilops kotschyi to wheat through radiation hybridization. Journal of Food Science and Technology. 53(9). 3543–3549. 9 indexed citations
16.
Devi, E. Lamalakshmi, et al.. (2015). Genetic variability studies for yield and contributing traits under two plant densities and molecular diversity analysis in maize (Zea mays L).. Maydica. 60(4). 1 indexed citations
17.
Neelam, Kumari, Nidhi Rawat, Vijay Tiwari, et al.. (2013). Development and molecular characterization of wheat-Aegilops longissima derivatives with high grain micronutrients.. Australian Journal of Crop Science. 7(4). 508–514. 5 indexed citations
18.
Sharma, B.L., et al.. (2012). Karyological Studies And FISH Landmarks on Somatic Chromosomes of Saccharum officinarum and S. spontaneum. Vegetos. 25(2). 120–126. 1 indexed citations
19.
Tiwari, Vijay, Nidhi Rawat, Kumari Neelam, et al.. (2010). Substitutions of 2S and 7U chromosomes of Aegilops kotschyi in wheat enhance grain iron and zinc concentration. Theoretical and Applied Genetics. 121(2). 259–269. 59 indexed citations
20.
Kumar, Sundip, Bernd Friebe, & Bikram S. Gill. (2010). Fate of <i>Aegilops speltoides</i>-Derived, Repetitive DNA Sequences in Diploid <i>Aegilops</i> Species, Wheat-<i>Aegilops</i> Amphiploids and Derived Chromosome Addition Lines. Cytogenetic and Genome Research. 129(1-3). 47–54. 5 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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