Sukumar Saha

4.0k citations
107 papers · 2.3k indexed · h-index 27

Sukumar Saha

106 papers receiving 2.1k citations

Peers

Sukumar Saha
Comparison fields: 5 of 84
  • Endocrinology 639
  • Plant Science 2.1k
  • Horticulture 21
  • Genetics 220
  • Agronomy and Crop Science 76
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O. Lloyd May United States
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Sultan Habibullah Khan Pakistan
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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-authorship network

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
#Work
1 20241
2 202157
3 20181
4
Chemistry and bio-efficacy of teak leaf for weed control in wheat.
20164
5 20144
6 20114
7
Atypical Ligon Lintless-2 Phenotype in Cotton
20105
8 201028
9 200910
10 2008142
11 200833
12 200744
13
Upland Cotton (Gossypium hirsutum L.) x Hawaiian Cotton (G. tomentosum Nutt. Ex. Seem.) F1 Hybrid Hypoaneuploid Chromosome Substitution Series
20067
14
Effect of chromosome substitutions from Gossypium barbadense L. 3-79 into G. hirsutum L. TM-1 on agronomic and fiber traits
200446
15 2004101
16
SSR marker(s) associated with root knot nematode resistance gene(s) in cotton
200327
17 200325
18 200216
19
New dinucleotide and trinucleotide microsatellite marker resources for cotton genome research
2001101
20
Determination of DNA content and genome in Cynodon species by flow cytometry.
20003

About Sukumar Saha

Sukumar Saha is a scholar working on Endocrinology, Plant Science, Horticulture, Insect Science and Agronomy and Crop Science, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (85 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), Insect-Plant Interactions and Control (4 papers), Plant tissue culture and regeneration (4 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Endocrinology (639 citations), Plant Science (2.1k citations), Horticulture (21 citations), Genetics (220 citations) and Agronomy and Crop Science (76 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, Alan E. Pepper, Jixiang Wu, John Z. Yu, Brian E. Scheffler and Zabardast T. Buriev. Their work appears in journals such as Euphytica, Crop Science, Theoretical and Applied Genetics, ˜The œjournal of cotton science/Journal of cotton science 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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