Sudhir Kumar

2.9k total citations
191 papers, 1.6k citations indexed

About

Sudhir Kumar is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Sudhir Kumar has authored 191 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Plant Science, 29 papers in Agronomy and Crop Science and 27 papers in Soil Science. Recurrent topics in Sudhir Kumar's work include Genetics and Plant Breeding (33 papers), Rice Cultivation and Yield Improvement (27 papers) and Crop Yield and Soil Fertility (21 papers). Sudhir Kumar is often cited by papers focused on Genetics and Plant Breeding (33 papers), Rice Cultivation and Yield Improvement (27 papers) and Crop Yield and Soil Fertility (21 papers). Sudhir Kumar collaborates with scholars based in India, United States and Australia. Sudhir Kumar's co-authors include Viswanathan Chinnusamy, Sundar Mayavan, Rabi Narayan Sahoo, Dhandapani Raju, Jagmohan Singh, Karansher Singh Sandhu, S. Arun, Alka Arora, Sudeep Marwaha and Awadhesh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Sudhir Kumar

168 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudhir Kumar India 20 1.1k 269 188 179 162 191 1.6k
Chong Yang China 24 958 0.8× 114 0.4× 65 0.3× 368 2.1× 57 0.4× 90 1.8k
Yongjiang Zhang China 31 2.2k 1.9× 461 1.7× 192 1.0× 497 2.8× 186 1.1× 123 3.0k
Xun Wei China 19 351 0.3× 99 0.4× 41 0.2× 237 1.3× 73 0.5× 60 1.0k
Caiyan Chen China 24 1.6k 1.4× 202 0.8× 116 0.6× 581 3.2× 54 0.3× 46 2.3k
R. Oberti Italy 21 954 0.8× 450 1.7× 447 2.4× 107 0.6× 27 0.2× 58 1.8k
Márcio Henrique Pereira Barbosa Brazil 23 1.2k 1.1× 29 0.1× 110 0.6× 150 0.8× 156 1.0× 127 1.7k
Georg Noga Germany 29 1.9k 1.7× 212 0.8× 212 1.1× 467 2.6× 95 0.6× 130 2.4k
Zubair Aslam Pakistan 25 847 0.7× 298 1.1× 30 0.2× 458 2.6× 171 1.1× 81 1.8k
Luis Miguel Contreras-Medina Mexico 19 697 0.6× 236 0.9× 126 0.7× 82 0.5× 51 0.3× 47 1.2k

Countries citing papers authored by Sudhir Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sudhir Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhir Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhir Kumar. A scholar is included among the top collaborators of Sudhir 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 Sudhir Kumar. Sudhir 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.
Raju, Dhandapani, Sudhir Kumar, Renu Pandey, et al.. (2025). Maximizing nitrogen stress tolerance through high-throughput phenotyping in rice. Plant Stress. 15. 100764–100764. 2 indexed citations
2.
3.
Kumar, Sudhir, Neha Sharma, Sudhir K. Sopory, & Neeti Sanan‐Mishra. (2024). miRNAs and genes as molecular regulators of rice grain morphology and yield. Plant Physiology and Biochemistry. 207. 108363–108363. 4 indexed citations
4.
Dutta, Suman, et al.. (2024). Directed mutagenesis in plants through genome editing using guide RNA library. The Nucleus. 67(1). 61–73. 3 indexed citations
5.
Lal, Shambhu Krishan, Sudhir Kumar, Mallana Gowdra Mallikarjuna, et al.. (2024). Recent Advancements in Nitrogen Use Efficiency in Crop Plants Achieved by Genomics and Targeted Genetic Engineering Approaches. Plant Molecular Biology Reporter. 42(3). 435–449. 2 indexed citations
6.
Kumar, Ranjeet Ranjan, Suneha Goswami, Sudhir Kumar, et al.. (2024). Elucidating the Defence Response of Wheat Mutants Developed for augmenting Terminal Heat Stress Tolerance and Improved Grain-Quality. Journal of Plant Growth Regulation. 43(10). 3826–3845. 1 indexed citations
7.
Boomiraj, K., et al.. (2024). Effect of tropospheric ozone and its protectants on gas exchange parameters, antioxidant enzymes and quality of Garlic (Allium sativum. L). International Journal of Biometeorology. 68(5). 991–1004.
8.
Kumar, Sudhir, Babak Sadigh, Sébastien Hamel, et al.. (2024). Interpretable, extensible linear and symbolic regression models for charge density prediction using a hierarchy of many-body correlation descriptors. Computational Materials Science. 246. 113433–113433.
9.
Raju, Dhandapani, Sudhir Kumar, Chandrapal Vishwakarma, et al.. (2023). Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice. Agriculture. 13(4). 852–852. 16 indexed citations
10.
Kumar, Sudhir, et al.. (2021). Organic source on productivity of pomegranate–lemongrass-based agroforestry system in central India. Agroforestry Systems. 95(4). 615–624. 5 indexed citations
11.
Kumar, Sudhir, et al.. (2019). Effect of foliar application of biostimulants on growth and yield of brinjal (Solanum melongena L.).. PLANT ARCHIVES. 19(2). 2126–2128. 2 indexed citations
12.
Ramesh, S., et al.. (2019). Quality characters of traditional rice (Oryza sativa L.) varieties as influenced by of EM compost.. PLANT ARCHIVES. 19(2). 3000–3004.
13.
Kumar, Sunil, et al.. (2018). Effects of Tillage; Residue and nutrient management on top soil carbon stocks and soil labile organic carbon fractions in the Indo-gangetic plains of north west India: A review. Journal of Pharmacognosy and Phytochemistry. 7(3). 1818–1842. 5 indexed citations
14.
Kumar, Sudhir, et al.. (2015). Study of heterosis and pollen fertility in CGMS based pigeonpea [Cajanus cajan(L.) Millspaugh] hybrids. MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)). 1 indexed citations
15.
Kumar, Sudhir, et al.. (2015). Genetic Variability and Association Studies on Grain Yield Components in F2 Populations of Black Rice (Oryza sativa L.) of Manipur. 28(2). 4 indexed citations
16.
Kumar, Sudhir, et al.. (2013). Yield response of rice genotypes to reproductive stage drought adapted to drought prone rainfed lowland. ORYZA- An International Journal on Rice. 50(4). 344–350. 3 indexed citations
17.
Kumar, Sudhir, et al.. (2005). A Bibliometric Study of the Journal of Oilseeds Research, since 1993-2001. SRELS Journal of Information Management. 42(3). 305–334. 7 indexed citations
18.
Kumar, Sunil & Sudhir Kumar. (2001). Fruit trees for sustainable agriculture through hortipastoral system in semi-arid environment.. Range Management and Agroforestry. 22(1). 33–42. 1 indexed citations
19.
Kumar, Sudhir, et al.. (1991). Combining ability for yield components and oil content in sesame. Indian Journal of Genetics and Plant Breeding (The). 51(3). 311–314. 11 indexed citations
20.
Kumar, Sudhir, et al.. (1987). Combining Ability in Chickpea. Indian Journal of Genetics and Plant Breeding (The). 47(1). 67–70. 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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