P. S. Basu

490 total citations
11 papers, 337 citations indexed

About

P. S. Basu is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, P. S. Basu has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 3 papers in Agronomy and Crop Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in P. S. Basu's work include Genetic and Environmental Crop Studies (8 papers), Agricultural pest management studies (7 papers) and Soybean genetics and cultivation (3 papers). P. S. Basu is often cited by papers focused on Genetic and Environmental Crop Studies (8 papers), Agricultural pest management studies (7 papers) and Soybean genetics and cultivation (3 papers). P. S. Basu collaborates with scholars based in India, Taiwan and Mali. P. S. Basu's co-authors include L. Krishnamurthy, Pooran M. Gaur, Rajeev K. Varshney, C L L Gowda, S. K. Chaturvedi, Shailesh Tripathi, Abhishek Rathore, Vincent Vadez, Uday Chand Jha and Junichi Kashiwagi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Physiology and Agronomy.

In The Last Decade

P. S. Basu

11 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. S. Basu India 10 323 61 34 14 13 11 337
Annabelle Larmure France 9 308 1.0× 120 2.0× 29 0.9× 20 1.4× 21 1.6× 10 339
Viola Devasirvatham Australia 7 450 1.4× 90 1.5× 64 1.9× 15 1.1× 34 2.6× 8 471
Milan Jocković Serbia 9 247 0.8× 43 0.7× 30 0.9× 14 1.0× 60 4.6× 48 280
Kostas Koutis Greece 4 210 0.7× 53 0.9× 18 0.5× 9 0.6× 15 1.2× 5 242
Amrit Lamichaney India 11 327 1.0× 36 0.6× 23 0.7× 19 1.4× 34 2.6× 35 359
Anju Rani India 7 292 0.9× 48 0.8× 19 0.6× 6 0.4× 46 3.5× 11 321
Abiel Rindisbacher Switzerland 4 186 0.6× 42 0.7× 37 1.1× 24 1.7× 25 1.9× 5 228
Raju Pushpavalli Australia 7 281 0.9× 44 0.7× 11 0.3× 14 1.0× 23 1.8× 8 296
Ian B. Edwards Australia 7 216 0.7× 66 1.1× 14 0.4× 6 0.4× 38 2.9× 12 255
Jake Howie Australia 7 119 0.4× 101 1.7× 21 0.6× 22 1.6× 7 0.5× 14 197

Countries citing papers authored by P. S. Basu

Since Specialization
Citations

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

Fields of papers citing papers by P. S. Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. S. Basu. 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 P. S. Basu. The network helps show where P. S. Basu may publish in the future.

Co-authorship network of co-authors of P. S. Basu

This figure shows the co-authorship network connecting the top 25 collaborators of P. S. Basu. A scholar is included among the top collaborators of P. S. Basu 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 P. S. Basu. P. S. Basu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Basu, P. S., Raju Bheemanahalli, Madan Pal, et al.. (2024). Identification of photothermo-insensitive with climate-smart early-maturing chickpea genotypes. Plant Genetic Resources. 22(3). 149–157. 4 indexed citations
2.
3.
Pratap, Aditya, Sanjeev Gupta, Ramakrishnan M. Nair, et al.. (2019). Using Plant Phenomics to Exploit the Gains of Genomics. Agronomy. 9(3). 126–126. 42 indexed citations
4.
Jha, Uday Chand, et al.. (2016). Evaluation of Drought Tolerance Selection Indices in Chickpea Genotypes. SHILAP Revista de lepidopterología. 7(6). 1244–1248. 15 indexed citations
5.
Singh, Jagdish, et al.. (2015). Genetic Variability for Vitamin B9 and Total Dietary Fiber in Lentil (Lens culinarisL.) Cultivars. International Journal of Food Properties. 19(4). 936–943. 11 indexed citations
6.
Jha, Uday Chand, P. S. Basu, & Deepak Singh. (2015). Genetic Variation and Diversity Analysis of Chickpea Genotypes based on Quantitative Traits under High Temperature Stress. International Journal of Bio-resource and Stress Management. 6(6). 700–700. 14 indexed citations
7.
Upadhyaya, Hari D., Junichi Kashiwagi, Rajeev K. Varshney, et al.. (2012). Phenotyping Chickpeas and Pigeonpeas for Adaptation to Drought. Frontiers in Physiology. 3. 179–179. 42 indexed citations
8.
Venkatesh, Venkatesh & P. S. Basu. (2011). Effect of foliar application of urea on growth, yield and quality of chickpea under rainfed conditions. Journal of Food Legumes. 24(2). 110–112. 9 indexed citations
9.
Krishnamurthy, L., Pooran M. Gaur, P. S. Basu, et al.. (2011). Large genetic variation for heat tolerance in the reference collection of chickpea (Cicer arietinum L.) germplasm. Plant Genetic Resources. 9(1). 59–69. 137 indexed citations
10.
Kholová, Jana, L. Krishnamurthy, Junichi Kashiwagi, et al.. (2008). Root research for drought tolerance in legumes: Quo vadis?. 37 indexed citations
11.
Kashiwagi, Junichi, L. Krishnamurthy, Sube Singh, et al.. (2006). Relationships between Transpiration Efficiency and Carbon Isotope Discrimination in Chickpea (C. arietinum L). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 16 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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