Ramesh Chand

7.8k total citations · 1 hit paper
330 papers, 5.3k citations indexed

About

Ramesh Chand is a scholar working on Plant Science, General Agricultural and Biological Sciences and Soil Science. According to data from OpenAlex, Ramesh Chand has authored 330 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Plant Science, 60 papers in General Agricultural and Biological Sciences and 44 papers in Soil Science. Recurrent topics in Ramesh Chand's work include Wheat and Barley Genetics and Pathology (78 papers), Plant Disease Resistance and Genetics (59 papers) and Agricultural Economics and Practices (52 papers). Ramesh Chand is often cited by papers focused on Wheat and Barley Genetics and Pathology (78 papers), Plant Disease Resistance and Genetics (59 papers) and Agricultural Economics and Practices (52 papers). Ramesh Chand collaborates with scholars based in India, United States and Mexico. Ramesh Chand's co-authors include Arun Kumar Joshi, Vinod Kumar Mishra, Sundeep Kumar, Uttam Kumar, Ravi P. Singh, S.R. Aparna, Karthikeyan Mohanraj, Bagavathy Shanmugam Karthikeyan, R.P. Vivek-Ananth and Areejit Samal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Ramesh Chand

311 papers receiving 4.9k citations

Hit Papers

IMPPAT: A curated database of Indian Medicinal Plants, Ph... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Chand India 38 3.3k 682 503 469 468 330 5.3k
Per Kudsk Denmark 34 3.3k 1.0× 574 0.8× 289 0.6× 191 0.4× 239 0.5× 137 4.8k
Ajay Kumar India 39 2.5k 0.8× 1.3k 2.0× 91 0.2× 494 1.1× 256 0.5× 371 6.1k
Andrew Mead United Kingdom 41 3.7k 1.1× 911 1.3× 72 0.1× 268 0.6× 471 1.0× 123 5.9k
Mohamed Hanafi Malaysia 39 2.7k 0.8× 1.0k 1.5× 67 0.1× 117 0.2× 533 1.1× 299 5.5k
Li Ma United States 43 1.3k 0.4× 1.6k 2.3× 61 0.1× 151 0.3× 490 1.0× 175 5.4k
Jim M. Dunwell United Kingdom 41 5.3k 1.6× 4.0k 5.9× 210 0.4× 317 0.7× 93 0.2× 179 8.0k
Hon‐Ming Lam Hong Kong 51 7.4k 2.3× 3.3k 4.8× 86 0.2× 185 0.4× 289 0.6× 215 9.8k
Su Chen China 35 2.0k 0.6× 2.4k 3.5× 79 0.2× 105 0.2× 127 0.3× 183 4.7k
Robert Cook United States 49 6.2k 1.9× 2.0k 3.0× 68 0.1× 2.1k 4.5× 534 1.1× 175 8.9k
R. Uma Shaanker India 39 1.9k 0.6× 1.3k 1.8× 72 0.1× 471 1.0× 45 0.1× 180 4.4k

Countries citing papers authored by Ramesh Chand

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Chand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Chand

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Chand. A scholar is included among the top collaborators of Ramesh Chand 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 Ramesh Chand. Ramesh Chand 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
2.
Gaurav, Shailendra Singh, Neeraj Kumar Vasistha, Uttam Kumar, et al.. (2023). Genetics of spot blotch resistance in bread wheat (Triticum aestivum L.) using five models for GWAS. Frontiers in Plant Science. 13. 1036064–1036064. 11 indexed citations
3.
Kumar, Rohitash, et al.. (2023). In vitro Evaluation of Botanicals, Bio-agents and Fungicides against Rhizoctonia solani Causing Web Blight Disease of Mungbean. International Journal of Environment and Climate Change. 13(11). 3546–3552. 1 indexed citations
4.
Navathe, Sudhir, et al.. (2023). Pathogenicity and infection behaviour of Exserohilum rostratum on wheat and associated collateral hosts. Journal of Plant Pathology. 105(3). 695–709. 5 indexed citations
5.
Singh, Satish Kumar, Abhik Patra, Ramesh Chand, et al.. (2022). Surface Seeding of Wheat: A Sustainable Way towards Climate Resilience Agriculture. Sustainability. 14(12). 7460–7460. 5 indexed citations
6.
Chaubey, R., et al.. (2022). Assessment of spot blotch disease and terminal heat stress on the performance of spring wheat genotypes in eastern Indo-Gangetic plains of India. Journal of Plant Pathology. 105(1). 147–156. 1 indexed citations
8.
Singh, Shweta, Vinod Kumar Mishra, Ravindra Nath Kharwar, et al.. (2020). Genetic characterization for lesion mimic and other traits in relation to spot blotch resistance in spring wheat. PLoS ONE. 15(10). e0240029–e0240029. 4 indexed citations
9.
Navathe, Sudhir, Ramesh Chand, Vinod Kumar Mishra, et al.. (2019). Management of Spot Blotch and Heat Stress in Spring Wheat Through Azoxystrobin-Mediated Redox Balance. Agricultural Research. 9(2). 169–178. 5 indexed citations
10.
Navathe, Sudhir, Sakshi Singh, Vinay Kumar Singh, et al.. (2019). Genome-wide mining of respiratory burst homologs and its expression in response to biotic and abiotic stresses in Triticum aestivum. Genes & Genomics. 41(9). 1027–1043. 21 indexed citations
11.
Navathe, Sudhir, Ramesh Chand, Vinod Kumar Mishra, et al.. (2019). ToxATsn1Interaction for Spot Blotch Susceptibility in Indian Wheat: An Example of Inverse Gene-for-Gene Relationship. Plant Disease. 104(1). 71–81. 47 indexed citations
12.
13.
Chand, Ramesh, et al.. (2018). Studies on the bio-efficacy of botanicals against rice root-knot nematode, Meloidogyne graminicola development. Journal of Pharmacognosy and Phytochemistry. 7(6). 1563–1565. 2 indexed citations
14.
Mishra, Vinod Kumar, Ramesh Chand, Neeraj Budhlakoti, et al.. (2018). Genome-wide association mapping of spot blotch resistance in wheat association mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.). PLoS ONE. 13(12). e0208196–e0208196. 21 indexed citations
15.
Chand, Ramesh, et al.. (2017). Economic benefits of animal pollination to Indian agriculture. The Indian Journal of Agricultural Sciences. 87(9). 19 indexed citations
16.
Kaur, Surinder, Gurpreet Singh Dhillon, Satinder Kaur Brar, et al.. (2012). Emerging phytopathogen Macrophomina phaseolina : biology, economic importance and current diagnostic trends. Critical Reviews in Microbiology. 38(2). 136–151. 152 indexed citations
17.
Chand, Ramesh & S.S. Raju. (2009). Dealing with effects of monsoon failures.. Economic and political weekly. 44(22). 29–33. 20 indexed citations
18.
Chand, Ramesh, N. P. Singh, & V. K. Singh. (2004). Effect of Weed Control Treatments on Weeds and Grain Yield of Late Sown Urdbean (Vigna mungo L.) during Kharif Season. Indian Journal of Weed Science. 36. 127–128. 14 indexed citations
19.
Chand, Ramesh, et al.. (2003). Phytotonic effect of carbendazim on greengram (Phaseolus radiatus) and control of cercospora leaf-spot (Cercospora canescens). The Indian Journal of Agricultural Sciences. 73(10). 572–573. 4 indexed citations
20.
Chand, Ramesh, et al.. (1989). Effect of Sowing Time and Plant Population on Bacterial Blight and Yield of Cowpea. Indian Journal of Horticulture. 46(2). 268–275. 2 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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