Sukumar Saha

4.0k citations
109 papers · 2.6k · h-index 28

Impact in

  • Endocrinology top 0.5%
    • Plant and Fungal Interactions Research
  • Plant Science top 0.5%
    • Research in Cotton Cultivation
    • Plant Virus Research Studies
    • Plant Molecular Biology Research
    • Genetics and Plant Breeding
    • Plant Disease Resistance and Genetics

Papers in

    • Research in Cotton Cultivation 89
    • Plant Virus Research Studies 49
    • Plant Molecular Biology Research 6
    • Nematode management and characterization studies 4
    • Plant Disease Resistance and Genetics 4
    • Plant and Fungal Interactions Research 39

Sukumar Saha

107 papers receiving 2.3k citations

Peers

Sukumar Saha
Comparison fields: 5 of 78
  • Endocrinology 666
  • Plant Science 2.4k
  • Horticulture 33
  • Agronomy and Crop Science 83
  • Genetics 209
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Citations per field
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Citations per year

Countries citing papers authored by Sukumar Saha

Since Specialization
Citations

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

Fields of papers citing papers by Sukumar Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008160
2 2008117
3 2004111
4
New dinucleotide and trinucleotide microsatellite marker resources for cotton genome research
2001103
5 2012101
6 200594
7 200290
8 200584
9 200371
10 202168
11 200665
12 200762
13 200258
14 200758
15 201458
16 200657
17 200152
18
Effect of chromosome substitutions from Gossypium barbadense L. 3-79 into G. hirsutum L. TM-1 on agronomic and fiber traits
200450
19 200749
20 200744

About Sukumar Saha

Sukumar Saha is a scholar working on Plant Science, Endocrinology, Molecular Biology, Genetics and Insect Science, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (89 papers), Plant Virus Research Studies (49 papers), Plant and Fungal Interactions Research (39 papers), Plant Molecular Biology Research (6 papers), Nematode management and characterization studies (4 papers), Plant Disease Resistance and Genetics (4 papers), Insect-Plant Interactions and Control (4 papers) and Plant tissue culture and regeneration (4 papers). The work is most often cited by research in Endocrinology (666 citations), Plant Science (2.4k citations), Horticulture (33 citations), Agronomy and Crop Science (83 citations) and Genetics (209 citations). Sukumar Saha has collaborated with scholars based in United States, Uzbekistan and Japan. Frequent co-authors include Johnie N. Jenkins, Jack C. McCarty, David M. Stelly, Osman A. Gutiérrez, Ibrokhim Y. Abdurakhmonov, Jixiang Wu, Alan E. Pepper, John Z. Yu, Zabardast T. Buriev and Brian E. Scheffler. Their work appears in journals such as Euphytica, Crop Science, ˜The œjournal of cotton science/Journal of cotton science, Theoretical and Applied Genetics and Genetica.

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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