Ramesh Bhat

1.9k citations
75 papers · 999 indexed · h-index 18

Impact in

    • Coconut Research and Applications
    • Peanut Plant Research Studies
    • Agricultural pest management studies
    • Plant Virus Research Studies
    • Genetics and Plant Breeding
    • Soybean genetics and cultivation

Papers in

    • Peanut Plant Research Studies 49
    • Agricultural pest management studies 29
    • Plant Virus Research Studies 10
    • Chromosomal and Genetic Variations 7
    • Plant Disease Resistance and Genetics 6
    • Coconut Research and Applications 25

Ramesh Bhat

72 papers receiving 963 citations

Peers

Ramesh Bhat
Comparison fields: 5 of 71
  • Inorganic Chemistry 371
  • Plant Science 900
  • Horticulture 5
  • Molecular Biology 252
  • Endocrinology 18
Replace Caixia Yan with:
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Citations per year

Countries citing papers authored by Ramesh Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramesh Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramesh Bhat Line = papers co-authored together Ramesh Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016148
2 2011120
3 202061
4 202038
5 201738
6 201637
7 201032
8 202129
9 201728
10 201827
11 202326
12 201524
13 201224
14 201923
15 201423
16 201821
17 201719
18 201617
19
Molecular mapping of early vigour related QTLs in rice
201315
20 201015

About Ramesh Bhat

Ramesh Bhat is a scholar working on Plant Science, Inorganic Chemistry, Molecular Biology, Nutrition and Dietetics and Endocrinology, having authored 75 papers that have together received 999 indexed citations. Recurring topics across this work include Peanut Plant Research Studies (49 papers), Agricultural pest management studies (29 papers), Coconut Research and Applications (25 papers), Plant Virus Research Studies (10 papers), Plant tissue culture and regeneration (10 papers), Nitrogen and Sulfur Effects on Brassica (9 papers), Chromosomal and Genetic Variations (7 papers) and Plant Disease Resistance and Genetics (6 papers). The work is most often cited by research in Inorganic Chemistry (371 citations), Plant Science (900 citations), Horticulture (5 citations), Molecular Biology (252 citations) and Endocrinology (18 citations). Ramesh Bhat has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Rajeev K. Varshney, Manish K. Pandey, M. V. C. Gowda, Kenta Shirasawa, V. Sujay, S. Lingaraju, H. L. Nadaf, Pasupuleti Janila, Yogendra Khedikar and Baozhu Guo. Their work appears in journals such as Euphytica, Plant Breeding, Frontiers in Plant Science, Molecular Breeding and Plant Cell Tissue and Organ Culture (PCTOC).

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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