M. S. Ramesha

934 total citations
38 papers, 574 citations indexed

About

M. S. Ramesha is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. S. Ramesha has authored 38 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 16 papers in Genetics and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. S. Ramesha's work include Rice Cultivation and Yield Improvement (30 papers), Genetics and Plant Breeding (18 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). M. S. Ramesha is often cited by papers focused on Rice Cultivation and Yield Improvement (30 papers), Genetics and Plant Breeding (18 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). M. S. Ramesha collaborates with scholars based in India, Philippines and Australia. M. S. Ramesha's co-authors include R. M. Sundaram, N. P. Sarma, B. C. Viraktamath, S. M. Balachandran, B. C. Viraktamath, Bhagirath Singh Chauhan, Gulshan Mahajan, P. Saidaiah, Ramesh V. Sonti and C. N. Neeraja and has published in prestigious journals such as Crop Science, Agronomy Journal and Euphytica.

In The Last Decade

M. S. Ramesha

36 papers receiving 508 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. S. Ramesha 538 255 78 37 31 38 574
Alvaro M. Pamplona 1000 1.9× 316 1.2× 83 1.1× 31 0.8× 10 0.3× 12 1.0k
C.V. Sameer Kumar 637 1.2× 103 0.4× 82 1.1× 19 0.5× 59 1.9× 75 684
B. C. Viraktamath 532 1.0× 241 0.9× 132 1.7× 16 0.4× 12 0.4× 28 567
Eero Nissilä 328 0.6× 188 0.7× 61 0.8× 16 0.4× 38 1.2× 15 389
P. Jeyaprakash 409 0.8× 172 0.7× 32 0.4× 10 0.3× 17 0.5× 54 443
Ali Dadkhodaie 503 0.9× 91 0.4× 97 1.2× 22 0.6× 107 3.5× 48 542
Wuyun Yang 823 1.5× 318 1.2× 142 1.8× 23 0.6× 175 5.6× 64 862
Norvie L. Manigbas 478 0.9× 169 0.7× 72 0.9× 13 0.4× 11 0.4× 30 518
Sérgio Tadeu Sibov 384 0.7× 148 0.6× 81 1.0× 13 0.4× 22 0.7× 28 433
N. P. Mandal 398 0.7× 155 0.6× 27 0.3× 10 0.3× 29 0.9× 14 421

Countries citing papers authored by M. S. Ramesha

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Ramesha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Ramesha

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Ramesha. A scholar is included among the top collaborators of M. S. Ramesha 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 M. S. Ramesha. M. S. Ramesha 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.
Swamy, B. P. Mallikarjuna, et al.. (2017). Marker Aided Selection of Yield-enhancing QTL yld2.1 into Restorer KMR3 and Fine Mapping a Genomic Region on Chromosome 2. Journal of Experimental Agriculture International. 17(2). 1–14. 2 indexed citations
2.
Mahajan, Gulshan, M. S. Ramesha, & Bhagirath Singh Chauhan. (2015). Genotypic Differences for Water‐Use Efficiency and Weed Competitiveness in Dry Direct‐Seeded Rice. Agronomy Journal. 107(4). 1573–1583. 19 indexed citations
3.
Revathi, P., Arun Kumar Singh, R. M. Sundaram, et al.. (2013). Efficiency of molecular markers in identifying fertility restoration trait of WA-CMS system in rice. Indian Journal of Genetics and Plant Breeding (The). 73(1). 89–89. 19 indexed citations
4.
Ramesha, M. S., et al.. (2013). The Effect of Environment on Combining Ability and Heterosis in Hybrid Rice. Greener Journal of Agricultural Sciences. 3(9). 669–686. 2 indexed citations
5.
Ramesha, M. S., et al.. (2012). Studies on Combining Ability for Development of New Hybrids in Rice. Indian Journal of Agricultural Research. 46(2). 97–109. 1 indexed citations
6.
Ramesha, M. S., et al.. (2012). CORRELATION AND PATH ANALYSIS OF YIELD AND YIELD COMPONENTS IN HYBRID RICE (Oryza sativa L.). Agricultural science digest. 32(3). 199–203. 2 indexed citations
7.
Singh, Surendra, et al.. (2012). Synchronization studies in hybrid rice seed production Synchronization studies in hybrid rice seed production. 23(1). 1–1. 1 indexed citations
8.
Saidaiah, P., et al.. (2012). Evaluation of CMS system based rice hybrids for heterosis over locations. ORYZA- An International Journal on Rice. 49(3). 153–162. 3 indexed citations
9.
Saidaiah, P., et al.. (2012). Evaluation of Rice Hybrids for Heterosis of Yield and Yield Attributing Traits over Locations. Madras Agricultural Journal. 99(JUNE). 202–209. 2 indexed citations
10.
Vemireddy, Lakshminarayana R., R. M. Sundaram, M. S. Ramesha, et al.. (2012). Fine mapping of Rf3 and Rf4 fertility restorer loci of WA-CMS of rice (Oryza sativa L.) and validation of the developed marker system for identification of restorer lines. Euphytica. 187(3). 421–435. 60 indexed citations
11.
Ramesha, M. S., et al.. (2011). Genetics of fertility restoration of "Wild Abortive" cytoplasmic male sterility in rice (Oryza sativa L.).. Current biotica. 4(4). 412–418. 2 indexed citations
12.
Saidaiah, P., et al.. (2011). Stability analysis of rice (Oryza sativa) hybrids and their parents. The Indian Journal of Agricultural Sciences. 81(2). 1 indexed citations
13.
Ramesha, M. S., et al.. (2011). Correlation and path coefficient analysis of yield and yield contributing traits in rice hybrids and their parental lines.. Electronic Journal of Plant Breeding. 2(1). 112–116. 26 indexed citations
14.
Saidaiah, P., Shivendra Kumar, & M. S. Ramesha. (2010). Stability analysis of rice hybrids and parents.. 54. 163–171.
15.
Saidaiah, P., Shivendra Kumar, & M. S. Ramesha. (2010). Variability for yield and yield component attributes in rice.. Crop Research Hisar. 39. 91–93. 5 indexed citations
16.
Saidaiah, P., Shivendra Kumar, & M. S. Ramesha. (2009). Combining ability analysis for yield and yield components in rice.. International Journal of Agriculture Environment and Biotechnology. 2(2). 147–150. 2 indexed citations
17.
Vijayakumar, C. H. M., et al.. (2006). Breeding for high yielding rice (Oryza sativa L.) varieties and hybrids adapted to aerobic (non-flooded, irrigated) conditions I. Preliminary evaluation of a large number of improved germplasm lines. Indian Journal of Genetics and Plant Breeding (The). 66(2). 113–118. 3 indexed citations
18.
Ramesha, M. S., et al.. (1999). Physiological basis of heterosis for grain yield in rice. Indian Journal of Genetics and Plant Breeding (The). 59(4). 411–415. 2 indexed citations
19.
Vijayakumar, C. H. M., et al.. (1999). Identification and utilisation of wide compatibility gene in rice. Indian Journal of Genetics and Plant Breeding (The). 59(2). 139–148. 2 indexed citations
20.
Ramesha, M. S., et al.. (1990). Correlation, combining ability and heterosis studies on husk number and shank length in maize.. Indian Journal of Genetics and Plant Breeding (The). 50(4). 338–341. 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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