Sumit Kumar Aggarwal

519 total citations
25 papers, 242 citations indexed

About

Sumit Kumar Aggarwal is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Sumit Kumar Aggarwal has authored 25 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Genetics and 4 papers in Agronomy and Crop Science. Recurrent topics in Sumit Kumar Aggarwal's work include Plant Disease Resistance and Genetics (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Plant Virus Research Studies (4 papers). Sumit Kumar Aggarwal is often cited by papers focused on Plant Disease Resistance and Genetics (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Plant Virus Research Studies (4 papers). Sumit Kumar Aggarwal collaborates with scholars based in India and Australia. Sumit Kumar Aggarwal's co-authors include S. S. Sheik, K. S. Hooda, K. Sekar, Sapna Nigam, N. Balakrishnan, Md. Ashraful Haque, Brejesh Lall, Alka Arora, Prabhat Kumar and Sudeep Marwaha and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Sumit Kumar Aggarwal

23 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumit Kumar Aggarwal India 7 154 39 37 34 26 25 242
Kanae Masuda Japan 10 216 1.4× 19 0.5× 122 3.3× 16 0.5× 13 0.5× 24 302
Parul Sharma India 7 293 1.9× 81 2.1× 30 0.8× 16 0.5× 4 0.2× 23 401
Chihong Zhang China 11 270 1.8× 12 0.3× 129 3.5× 8 0.2× 5 0.2× 20 414
Soodabeh Fatahi Iran 7 118 0.8× 129 3.3× 63 1.7× 6 0.2× 10 0.4× 9 311
Shijie Shi China 12 247 1.6× 110 2.8× 32 0.9× 8 0.2× 6 0.2× 27 396
Jin Hee Lim South Korea 11 284 1.8× 14 0.4× 82 2.2× 3 0.1× 27 1.0× 55 355
Ping Lin China 14 310 2.0× 26 0.7× 127 3.4× 7 0.2× 10 0.4× 37 483
Sivalingam Elayabalan India 6 333 2.2× 71 1.8× 46 1.2× 5 0.1× 5 0.2× 11 367
Yibin Wang China 6 275 1.8× 103 2.6× 81 2.2× 6 0.2× 14 0.5× 8 352

Countries citing papers authored by Sumit Kumar Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kumar Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Kumar Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Kumar Aggarwal. A scholar is included among the top collaborators of Sumit Kumar Aggarwal 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 Sumit Kumar Aggarwal. Sumit Kumar Aggarwal 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.
Pushpendra, Pushpendra, Santosh Kumar, Pardeep Kumar, et al.. (2025). Understanding the genetic basis of resistance to maydis leaf blight and maturity-related traits in corn. Frontiers in Plant Science. 16. 1551940–1551940. 1 indexed citations
2.
Kumar, Pardeep, Mukesh Choudhary, Seema Sheoran, et al.. (2024). Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize. International Journal of Molecular Sciences. 25(19). 10300–10300.
3.
Kumar, Gaurav, et al.. (2024). UAV Images Based Maize Crop Analysis Using Custom CNN Model. 1018–1023.
4.
Neelam, Kumari, Sumit Kumar Aggarwal, Kishor Kumar, et al.. (2024). Molecular Mapping and Transfer of Quantitative Trait Loci (QTL) for Sheath Blight Resistance from Wild Rice Oryza nivara to Cultivated Rice (Oryza sativa L.). Genes. 15(7). 919–919. 2 indexed citations
5.
Bhushan, Bharat, Bhushan Bibwe, Ajay Pal, et al.. (2023). FTIR spectra, antioxidant capacity and degradation kinetics of maize anthocyanin extract under variable process conditions. Applied Food Research. 3(1). 100282–100282. 38 indexed citations
6.
Kumar, Pardeep, Mukesh Choudhary, Mamta Gupta, et al.. (2023). Enhancement of nutritional quality in maize grain through QTL-based approach. Cereal Research Communications. 52(1). 39–55. 4 indexed citations
7.
Aggarwal, Sumit Kumar, K. S. Hooda, Harleen Kaur, et al.. (2023). Comparative evaluation of management modules against Maydis leaf blight disease in maize (Zea mays). European Journal of Plant Pathology. 168(3). 485–495. 3 indexed citations
8.
Haque, Md. Ashraful, Sudeep Marwaha, Sapna Nigam, et al.. (2022). Deep learning-based approach for identification of diseases of maize crop. Scientific Reports. 12(1). 6334–6334. 90 indexed citations
9.
Aggarwal, Sumit Kumar, et al.. (2022). Multiple modules for the management of banded leaf and sheath blight of maize in India. Indian Phytopathology. 75(4). 1065–1073. 2 indexed citations
10.
Kashyap, Prem Lal, Sudheer Kumar, Sumit Kumar Aggarwal, et al.. (2022). Resistance inducers and their role in reinforcing wheat defense system against fungal pathogens. 13(3). 8 indexed citations
11.
Aggarwal, Sumit Kumar, Palvi Malik, Kumari Neelam, et al.. (2022). Genome-wide association mapping for identification of sheath blight resistance loci from wild rice Oryza rufipogon. Euphytica. 218(10). 5 indexed citations
12.
Aggarwal, Sumit Kumar, et al.. (2019). Management of Sorghum Anthracnose caused by Colletotrichum graminicola (Ces.) Wilson. International Journal of Current Microbiology and Applied Sciences. 8(10). 1371–1371. 4 indexed citations
13.
Aggarwal, Sumit Kumar, et al.. (2019). Identification of promising resistance sources against sheath blight from the annual wild species of riceOryza nivara(SharmaetShastry). Plant Genetic Resources. 17(6). 554–558. 6 indexed citations
14.
Aggarwal, Sumit Kumar, et al.. (2014). A Survey on Frequent Pattern Mining Algorithms. 3(4). 2 indexed citations
15.
Aggarwal, Sumit Kumar, et al.. (2008). Performance of wheat (Triticum aestivum) to incorporation of organic manure and bioinoculants. Archives of Agronomy and Soil Science. 54(6). 615–627. 3 indexed citations
16.
Aggarwal, Sumit Kumar, et al.. (2007). Effect of planting systems, seed rates and nitrogen levels con bread wheat (Triticum aestivum)*. The Indian Journal of Agricultural Sciences. 77(10). 669–671. 5 indexed citations
17.
Sheik, S. S., et al.. (2005). Analysis of string-searching algorithms on biological sequence databases. Current Science. 89(2). 368–374. 6 indexed citations
18.
Raj, D., et al.. (2004). High Temperature Transformation of Iron Minerals in Bauxite. Hyperfine Interactions. 153(1-4). 153–158. 5 indexed citations
19.
Aggarwal, Sumit Kumar, et al.. (1994). Growth and Yield of Bambusa tulda in Irrigated and Non-irrigated Plantations in Haryana. Indian Forester. 120(6). 477–482. 2 indexed citations
20.
Dakshini, K. M. M. & Sumit Kumar Aggarwal. (1974). Intracapitular cypsele dimorphism and dormancy inBidens bipinnata. Biologia Plantarum. 16(6). 469–471. 7 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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