Subhash Chander

4.5k total citations
159 papers, 3.3k citations indexed

About

Subhash Chander is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Subhash Chander has authored 159 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Plant Science, 29 papers in Molecular Biology and 25 papers in Soil Science. Recurrent topics in Subhash Chander's work include Agricultural Science and Fertilization (17 papers), Rice Cultivation and Yield Improvement (16 papers) and Agricultural pest management studies (13 papers). Subhash Chander is often cited by papers focused on Agricultural Science and Fertilization (17 papers), Rice Cultivation and Yield Improvement (16 papers) and Agricultural pest management studies (13 papers). Subhash Chander collaborates with scholars based in India, United States and China. Subhash Chander's co-authors include Hi̇kmet Si̇s, Dinesh Mohan, Vinod Kumar Gupta, P.B.S. Sarma, N.H. Rao, S. K. Srivastava, Mehmet Polat, Hürriyet Polat, D.W. Fuerstenau and Jianbing Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Subhash Chander

142 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhash Chander India 32 1.3k 998 553 504 356 159 3.3k
Muhammad Aqeel Ashraf Malaysia 32 814 0.6× 907 0.9× 207 0.4× 438 0.9× 378 1.1× 190 4.5k
R. S. Singh India 39 1.4k 1.1× 1.2k 1.2× 292 0.5× 596 1.2× 464 1.3× 243 5.6k
Jian Lü China 45 1.1k 0.9× 381 0.4× 191 0.3× 426 0.8× 443 1.2× 181 5.6k
Hongyu Wang China 31 1.7k 1.4× 1.1k 1.1× 182 0.3× 899 1.8× 345 1.0× 142 4.9k
Dan Wang China 37 298 0.2× 1.1k 1.1× 210 0.4× 309 0.6× 509 1.4× 244 4.8k
Amit Kumar India 34 739 0.6× 1.4k 1.4× 79 0.1× 319 0.6× 404 1.1× 144 4.9k
Javaid Akhtar Pakistan 33 407 0.3× 2.0k 2.0× 480 0.9× 1.6k 3.3× 279 0.8× 167 4.8k
Ludo Diels Belgium 50 963 0.8× 567 0.6× 332 0.6× 2.2k 4.5× 1.1k 3.2× 147 8.1k
Miaomiao Zhang China 38 560 0.4× 558 0.6× 171 0.3× 542 1.1× 399 1.1× 172 3.7k
Kuangfei Lin China 47 1.7k 1.4× 327 0.3× 350 0.6× 1.1k 2.2× 454 1.3× 215 6.9k

Countries citing papers authored by Subhash Chander

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhash Chander

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Chander. A scholar is included among the top collaborators of Subhash Chander 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 Subhash Chander. Subhash Chander 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.
Garcia‐Oliveira, Ana Luísa, Rodomiro Ortíz, Fatma Sarsu, et al.. (2025). The importance of genotyping within the climate-smart plant breeding value chain – integrative tools for genetic enhancement programs. Frontiers in Plant Science. 15. 1518123–1518123.
2.
Sharma, Saurabh, Rajesh Pradhan, David Lee, et al.. (2024). Clinical and Translational Opportunities of Nanocarriers Containing RNAi for the Management of Triple‐Negative Breast Cancer. Advanced Therapeutics. 7(5). 2 indexed citations
4.
Gowthami, R., et al.. (2023). Development of Cryoconservation Protocol for In-vitro Shoot Bases of Allium ampeloprasum L. for Long-term Conservation. Indian Journal of Plant Genetic Resources. 36(3). 396–401. 2 indexed citations
5.
Suroshe, Sachin S., et al.. (2021). Spatial distribution and sequential sampling of aphid and their natural enemies on wheat. 59(4). 246–253. 2 indexed citations
6.
Chander, Subhash, et al.. (2020). Socio-economic factors affecting the crop insurance scheme in Haryana – A sociological analysis. Journal of Pharmacognosy and Phytochemistry. 9. 42–45.
7.
Sheoran, Parvender, et al.. (2018). Sulphur, boron and zinc nutrition to improve productivity, profitability and oil quality in sunflower (Helianthus annuus). The Indian Journal of Agricultural Sciences. 88(11). 1746–1756. 3 indexed citations
8.
Chander, Subhash, et al.. (2018). Effect of statistical uncertainty on Monaco Monte-Carlo dose calculation. 1 indexed citations
9.
Singh, Vivek Kumar, et al.. (2018). Correlation analysis for seed yield and its component traits in sunflower. Journal of Pharmacognosy and Phytochemistry. 7(3). 2299–2301. 7 indexed citations
10.
Chander, Subhash, et al.. (2017). Niche regulation between brown planthopper (BPH) and white backed planthopper (WBPH) in association with their natural enemy population in the rice ecosystem. Journal of Entomology and Zoology Studies. 5(5). 513–517. 4 indexed citations
11.
Chander, Subhash, et al.. (2014). Seasonal incidence and damage of major insect pests of pigeon pea, Cajanus cajan (L.). Indian Journal of Entomology. 76(3). 202–206. 7 indexed citations
12.
Tripathi, S. C., Subhash Chander, & Raj Pal Meena. (2013). Effect of early sowing, N levels and seed rates on yield and yield attributes of different wheat (Triticum aestivum) varieties. Indian Journal of Agronomy. 58(1). 63–66. 8 indexed citations
13.
Chander, Subhash, et al.. (2013). Influence of abiotic factors on leafhopper and whitefly population buildup in BT cotton hybrids. Indian Journal of Entomology. 75(3). 194–198. 2 indexed citations
14.
Chander, Subhash, et al.. (2011). Population Dynamics of Major Insect Pests and their Natural Enemies in Cabbage. Annals of Plant Protection Sciences. 19(2). 272–277. 7 indexed citations
15.
Chander, Subhash, et al.. (2010). Role of silica in varietal resistance against rice leaf folder, Cnaphalocrocis medinalis (Guenee).. Indian Journal of Entomology. 72(3). 195–201. 2 indexed citations
16.
Chander, Subhash, et al.. (2002). Assessment of yield losses due to stem borer, Scirpophaga incertulas (Walker) in rice using simulation models. Journal of Entomological Research. 26(1). 23–28. 1 indexed citations
17.
Chander, Subhash, et al.. (2002). Assessment of yield loss in rice due to bacterial leaf blight using simulation models. Annals of Plant Protection Sciences. 10(2). 277–281. 2 indexed citations
18.
Singh, Rajbir, et al.. (2000). Effect of Weed Management and Sulphur Fertilization on Weeds and Yield in Greengram and B1ackgram Intercropping System. Indian Journal of Weed Science. 32. 25–30. 1 indexed citations
19.
Chander, Subhash, et al.. (1988). Some equivalent circuit models for AC impedance analysis of pyrite/solution interface. NASA STI/Recon Technical Report N. 88. 27452. 7 indexed citations
20.
Sharma, Deepansh, et al.. (1966). Chemical composition of some fodder tree leaves in the Kangra District.. 3. 438–442. 10 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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