Romesh Kumar Salgotra

2.5k total citations · 1 hit paper
96 papers, 1.4k citations indexed

About

Romesh Kumar Salgotra is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Romesh Kumar Salgotra has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 25 papers in Molecular Biology and 24 papers in Genetics. Recurrent topics in Romesh Kumar Salgotra's work include Rice Cultivation and Yield Improvement (22 papers), GABA and Rice Research (20 papers) and Genetics and Plant Breeding (20 papers). Romesh Kumar Salgotra is often cited by papers focused on Rice Cultivation and Yield Improvement (22 papers), GABA and Rice Research (20 papers) and Genetics and Plant Breeding (20 papers). Romesh Kumar Salgotra collaborates with scholars based in India, Australia and United States. Romesh Kumar Salgotra's co-authors include Bhagirath Singh Chauhan, Sajad Majeed Zargar, C. Neal Stewart, Javaid Akhter Bhat, Muntazir Mushtaq, Reetika Mahajan, Brij B. Gupta, Muslima Nazir, Nancy Gupta and Sajad Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Romesh Kumar Salgotra

89 papers receiving 1.4k citations

Hit Papers

Genetic Diversity, Conservation, and Utilization of Plant... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Romesh Kumar Salgotra India 17 1.1k 370 325 81 69 96 1.4k
Silvana Creste Brazil 20 1.4k 1.2× 565 1.5× 240 0.7× 70 0.9× 137 2.0× 57 1.8k
José Lima‐Brito Portugal 18 716 0.6× 256 0.7× 238 0.7× 91 1.1× 81 1.2× 72 945
Prasad S. Hendre Kenya 16 653 0.6× 301 0.8× 267 0.8× 106 1.3× 149 2.2× 32 1.1k
Venkategowda Ramegowda India 15 1.5k 1.3× 513 1.4× 134 0.4× 44 0.5× 70 1.0× 32 1.7k
Abdul Rahim Harun Malaysia 22 2.0k 1.7× 611 1.7× 505 1.6× 111 1.4× 73 1.1× 85 2.2k
Aaron K. Jackson United States 19 924 0.8× 274 0.7× 612 1.9× 48 0.6× 101 1.5× 46 1.3k
Davoud Torkamaneh Canada 21 1.0k 0.9× 418 1.1× 332 1.0× 35 0.4× 48 0.7× 77 1.3k
Vandna Rai India 22 1.3k 1.1× 377 1.0× 347 1.1× 43 0.5× 72 1.0× 57 1.5k
Shailendra Sharma India 20 1.4k 1.2× 362 1.0× 476 1.5× 90 1.1× 93 1.3× 71 1.7k
Ramesh V. Kantety United States 13 1.1k 1.0× 481 1.3× 505 1.6× 55 0.7× 145 2.1× 22 1.5k

Countries citing papers authored by Romesh Kumar Salgotra

Since Specialization
Citations

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

Fields of papers citing papers by Romesh Kumar Salgotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Romesh Kumar Salgotra. 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 Romesh Kumar Salgotra. The network helps show where Romesh Kumar Salgotra may publish in the future.

Co-authorship network of co-authors of Romesh Kumar Salgotra

This figure shows the co-authorship network connecting the top 25 collaborators of Romesh Kumar Salgotra. A scholar is included among the top collaborators of Romesh Kumar Salgotra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Romesh Kumar Salgotra. Romesh Kumar Salgotra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bandral, Julie D, et al.. (2024). Effect of germination on functional and nutritional quality characteristics of brown rice. International Journal of Advanced Biochemistry Research. 8(6S). 555–559. 1 indexed citations
2.
Salgotra, Romesh Kumar, et al.. (2024). DYNAMICS OF GENOME EDITED PRODUCTS IN THE WORLD MARKET FOR FUTURE FOOD SECURITY : A REVIEW. PLANT ARCHIVES. 24(1). 1 indexed citations
4.
Salgotra, Romesh Kumar & Bhagirath Singh Chauhan. (2023). Genetic Diversity, Conservation, and Utilization of Plant Genetic Resources. Genes. 14(1). 174–174. 198 indexed citations breakdown →
5.
Sudan, Jebi, et al.. (2023). Elucidating the process of SNPs identification in non-reference genome crops. Journal of Biomolecular Structure and Dynamics. 41(24). 15682–15690. 1 indexed citations
6.
Salgotra, Romesh Kumar, et al.. (2022). Genetic diversity analysis of selected mulberry accessions using microsatellite markers. Electronic Journal of Plant Breeding. 13(1). 198–207. 2 indexed citations
7.
Majeed, Aasim, et al.. (2022). Harnessing the potential of bulk segregant analysis sequencing and its related approaches in crop breeding. Frontiers in Genetics. 13. 944501–944501. 18 indexed citations
8.
Pooja, P, et al.. (2021). Anther culture of elite rice hybrids for regeneration of doubled haploid lines. Journal of Pharmacognosy and Phytochemistry. 10. 573–578. 1 indexed citations
9.
10.
Kiran, Usha, et al.. (2020). Introgression of Pi 54 gene through marker assisted backcross breeding for development of blast resistant genetic stocks in rice. Journal of Pharmacognosy and Phytochemistry. 9(6). 1034–1040. 1 indexed citations
12.
Zargar, Sajad Majeed, Nancy Gupta, Reetika Mahajan, et al.. (2018). Candidate gene based characterization of common bean genotypes. Indian Journal of Genetics and Plant Breeding (The). 78(3). 2 indexed citations
13.
Rai, G., et al.. (2016). Assessment of genetic variation in tomato (Solanum lycopersicum L.) based on quality traits and molecular markers.. SABRAO Journal of Breeding and Genetics. 48(1). 80–89. 4 indexed citations
14.
Mahajan, Reetika, et al.. (2016). Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India. Applied Biochemistry and Biotechnology. 182(1). 16–28. 13 indexed citations
15.
Choudhary, Ritesh Kumar, et al.. (2015). Genetic diversity of Brassica napus using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE).. SABRAO Journal of Breeding and Genetics. 47(1). 14–20. 5 indexed citations
16.
Zargar, Sajad Majeed, Reetika Mahajan, Muslima Nazir, et al.. (2015). Understanding the Role of Iron and Zinc in Animals and Crop Plants from Genomics Perspective. Current Trends in Biotechnology and Pharmacy. 9(2). 182–196. 15 indexed citations
17.
Salgotra, Romesh Kumar, et al.. (2012). Characterization of thermo-sensitive genic male sterility (TGMS) rice genotypes ('Oryza sativa' L.) at different altitudes. Australian Journal of Crop Science. 6(6). 957–962. 4 indexed citations
18.
Salgotra, Romesh Kumar, Brij B. Gupta, & S. Singh. (2009). Evaluation of various floral traits in some rice CMS lines that influence seed setting under subtropical conditions.. SABRAO Journal of Breeding and Genetics. 41(2). 115–122. 2 indexed citations
19.
Salgotra, Romesh Kumar, et al.. (2009). Combining ability studies for yield and yield components in Basmati rice. ORYZA- An International Journal on Rice. 46(1). 12–16. 46 indexed citations
20.
Salgotra, Romesh Kumar, et al.. (2002). Heterosis in winter × spring wheat crosses. Indian Journal of Genetics and Plant Breeding (The). 62(2). 104–106. 1 indexed citations

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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