M. Variar

1.6k citations
54 papers · 1.0k · h-index 18

Impact in

    • Plant-Microbe Interactions and Immunity
    • Rice Cultivation and Yield Improvement
    • GABA and Rice Research
    • Plant Disease Resistance and Genetics
    • Genetics and Plant Breeding
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Plant-Microbe Interactions and Immunity 22
    • Rice Cultivation and Yield Improvement 19
    • Plant Disease Resistance and Genetics 11
    • GABA and Rice Research 10
    • Genetics and Plant Breeding 6
    • Fungal and yeast genetics research 9

M. Variar

51 papers receiving 986 citations

Peers

M. Variar
Comparison fields: 5 of 56
  • Plant Science 940
  • Genetics 218
  • Cell Biology 111
  • Soil Science 58
  • Agronomy and Crop Science 45
Replace Hugh A. Young with:
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N. Wratten Australia
K. V. Prabhu India
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Citations per field
00.5×2.6×
Hugh A. Young · 1×
Citations per year

Countries citing papers authored by M. Variar

Since Specialization
Citations

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

Fields of papers citing papers by M. Variar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 2012114
3 201598
4 201366
5 200360
6 201253
7 201541
8 201138
9 201735
10 201534
11 201131
12 200931
13 201525
14 201324
15 201724
16 201021
17 201418
18 201517
19 201417
20 201615

About M. Variar

M. Variar is a scholar working on Plant Science, Molecular Biology, Genetics, Cell Biology and Soil Science, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (22 papers), Rice Cultivation and Yield Improvement (19 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Plant Disease Resistance and Genetics (11 papers), GABA and Rice Research (10 papers), Fungal and yeast genetics research (9 papers), Plant Pathogens and Fungal Diseases (8 papers) and Genetics and Plant Breeding (6 papers). The work is most often cited by research in Plant Science (940 citations), Genetics (218 citations), Cell Biology (111 citations), Soil Science (58 citations) and Agronomy and Crop Science (45 citations). M. Variar has collaborated with scholars based in India, United States and Philippines. Frequent co-authors include Nimai Prasad Mandal, Jahangir Imam, Pratyoosh Shukla, Shamshad Alam, Rajeev Rathour, U. D. Singh, Tilak Raj Sharma, S. K. Prashanthi, A. K. Singh and Arvind Kumar. Their work appears in journals such as Frontiers in Plant Science, Mycorrhiza, Theoretical and Applied Genetics, Functional & Integrative Genomics 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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