K. Mohanasundaram

560 citations
25 papers · 438 indexed · h-index 6

K. Mohanasundaram

23 papers receiving 423 citations

Peers

K. Mohanasundaram
Comparison fields: 5 of 105
  • Plant Science 118
  • Pharmacology 25
  • Biological Psychiatry 7
  • Molecular Biology 153
  • Pharmaceutical Science 13
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Citations per field
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Citations per year

Countries citing papers authored by K. Mohanasundaram

Since Specialization
Citations

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

Fields of papers citing papers by K. Mohanasundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20171
2 201527
3 2015284
4
Character association and parent progeny regression studies for yield in the segregating generations of TGMS rice lines
20134
5 20131
6 20121
7 20120
8
Combining ability analysis for seed yield and its components in sunflower (Helianthus annuus L.).
201012
9
Genetic analysis of grain quality characters and grain yield in pearl millet [Pennisetum glaucum (L.) R. Br.].
20094
10 20092
11 20084
12
Genetic variability studies and interrelationships among nutritional quality characters, phytate phosphorus and grain yield in the seeds of pearl millet [Pennisetum glaucum (L.) R. Sr.]
20072
13
Studies on heterosis for yield and related characters in rice hybrids.
20065
14 20060
15 20055
16 20051
17
Phenotypic stability analysis in groundnut (Arachis hypogaea L.)
20013
18
ASD20 (AS89044): a short duration high yielding rice variety for Tamil Nadu.
19971
19 19971
20 19872

About K. Mohanasundaram

K. Mohanasundaram is a scholar working on Plant Science, General Agricultural and Biological Sciences and Soil Science, having authored 25 papers that have together received 438 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (11 papers), Genetics and Plant Breeding (11 papers), GABA and Rice Research (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Crop Yield and Soil Fertility (2 papers), Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Agricultural Science and Fertilization (2 papers). The work is most often cited by research in Plant Science (118 citations), Pharmacology (25 citations) and Biological Psychiatry (7 citations). K. Mohanasundaram has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Tamsyn M. Crowley, Merridee A. Wouters, Andrzej Gościński, Naomi L. Haworth, S. Robin, S. Rajeswari, Richard A. George, T. S. Raveendran, Sara Ballouz and K. K. Vinod.

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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