M. Sivasamy

745 citations
39 papers · 434 · h-index 12

Impact in

    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding
    • Plant Disease Resistance and Genetics
    • Plant Pathogens and Resistance
    • Mycotoxins in Agriculture and Food
    • Crop Yield and Soil Fertility

Papers in

    • Wheat and Barley Genetics and Pathology 33
    • Genetics and Plant Breeding 18
    • Plant Disease Resistance and Genetics 14
    • Yeasts and Rust Fungi Studies 11
    • Plant Reproductive Biology 5

M. Sivasamy

35 papers receiving 415 citations

Peers

M. Sivasamy
Comparison fields: 5 of 36
  • Plant Science 404
  • Agronomy and Crop Science 58
  • Genetics 108
  • Molecular Biology 116
  • Endocrinology 4
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Citations per year

Countries citing papers authored by M. Sivasamy

Since Specialization
Citations

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

Fields of papers citing papers by M. Sivasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sivasamy, 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 M. Sivasamy Line = papers co-authored together M. Sivasamy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201458
2 202050
3 202236
4 201534
5 201531
6 201523
7 201021
8 201919
9 201717
10
Molecular marker assisted pyramiding of leaf rust resistance genes Lr19 and Lr28 in bread wheat (Triticum aestivum L.) variety HD2687
201112
11 201412
12 201312
13 201511
14
Introgression of useful linked genes for resistance to stem rust, leaf rust and powdery mildew and their molecular validation in wheat (Triticum aestivum L.).
20099
15 20239
16 20208
17 20237
18 20197
19 20237
20 20137

About M. Sivasamy

M. Sivasamy is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Genetics and Cell Biology, having authored 39 papers that have together received 434 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (33 papers), Genetics and Plant Breeding (18 papers), Plant Disease Resistance and Genetics (14 papers), Yeasts and Rust Fungi Studies (11 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Reproductive Biology (5 papers), Crop Yield and Soil Fertility (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Plant Science (404 citations), Agronomy and Crop Science (58 citations), Genetics (108 citations), Molecular Biology (116 citations) and Endocrinology (4 citations). M. Sivasamy has collaborated with scholars based in India, South Korea and Mexico. Frequent co-authors include Vinod Vinod, S. M. S. Tomar, Sanjay Singh, P. Jayaprakash, Subhash Bhardwaj, K. V. Prabhu, Rukam S. Tomar, J. B. Sharma, Niharika Mallick and Gyanendra Pratap Singh. Their work appears in journals such as Frontiers in Plant Science, Plant Disease, Genetic Resources and Crop Evolution, Heredity and Euphytica.

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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