S. K. Bera

844 total citations
54 papers, 430 citations indexed

About

S. K. Bera is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, S. K. Bera has authored 54 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 17 papers in Inorganic Chemistry and 11 papers in Molecular Biology. Recurrent topics in S. K. Bera's work include Peanut Plant Research Studies (41 papers), Agricultural pest management studies (21 papers) and Coconut Research and Applications (17 papers). S. K. Bera is often cited by papers focused on Peanut Plant Research Studies (41 papers), Agricultural pest management studies (21 papers) and Coconut Research and Applications (17 papers). S. K. Bera collaborates with scholars based in India, Australia and United States. S. K. Bera's co-authors include B. C. Ajay, T. Radhakrishnan, Narendra Kumar, Manish K. Pandey, Rajeev K. Varshney, A. L. Singh, Pasupuleti Janila, K. Gangadhar, Anil Kumar Maurya and K. L. Dobariya and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

S. K. Bera

49 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Bera India 11 415 137 79 41 27 54 430
P. Nagesh India 7 487 1.2× 166 1.2× 92 1.2× 27 0.7× 23 0.9× 15 515
R.P. Vasanthi India 8 296 0.7× 100 0.7× 61 0.8× 15 0.4× 22 0.8× 54 327
H. L. Nadaf India 11 531 1.3× 216 1.6× 155 2.0× 26 0.6× 16 0.6× 56 565
Surendra S. Manohar India 16 728 1.8× 272 2.0× 166 2.1× 53 1.3× 26 1.0× 37 761
K. L. Dobariya India 6 231 0.6× 85 0.6× 58 0.7× 15 0.4× 21 0.8× 27 246
A. L. Rathnakumar India 11 340 0.8× 123 0.9× 71 0.9× 12 0.3× 27 1.0× 27 357
B. C. Ajay India 11 332 0.8× 41 0.3× 37 0.5× 37 0.9× 12 0.4× 47 343
Manda Sriswathi India 9 620 1.5× 225 1.6× 161 2.0× 74 1.8× 20 0.7× 10 660
Issa Faye Senegal 10 475 1.1× 196 1.4× 78 1.0× 20 0.5× 8 0.3× 13 486
Yaduru Shasidhar India 11 639 1.5× 240 1.8× 160 2.0× 97 2.4× 20 0.7× 16 674

Countries citing papers authored by S. K. Bera

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Bera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. K. Bera

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Bera. A scholar is included among the top collaborators of S. K. Bera 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 S. K. Bera. S. K. Bera 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.
Sudini, Hari Kishan, Sunil S. Gangurde, R.P. Vasanthi, et al.. (2025). Dissecting the genomic regions, candidate genes and pathways using multi‐locus genome‐wide association study for stem rot disease resistance in groundnut. The Plant Genome. 18(3). e70089–e70089. 1 indexed citations
2.
Bera, S. K., et al.. (2025). Thermoresponsive solid lipid nanoparticles and its potential for CNS tumor therapy. International Journal of Pharmaceutics. 681. 125819–125819.
3.
Sudini, Hari Kishan, et al.. (2024). Resistance to stem rot disease in groundnut (Arachis hypogaea L.) in inter-specific derivatives of wild Arachis species. Genetic Resources and Crop Evolution. 72(1). 1105–1122. 1 indexed citations
4.
5.
6.
Gölükçü, Muharrem, et al.. (2023). Assessment of drought tolerance of sesame germplasm with agronomic and quality traits. Crop Science. 63(5). 2763–2777. 4 indexed citations
7.
Ajay, B. C., et al.. (2023). Integrating data from asymmetric multi-models can identify drought-resistant groundnut genotypes for drought hot-spot locations. Scientific Reports. 13(1). 12705–12705. 4 indexed citations
8.
Bera, S. K., et al.. (2022). Higher Order AMMI (HO-AMMI) analysis: A novel stability model to study genotype-location interactions. Indian Journal of Genetics and Plant Breeding (The). 82(1). 25–30. 6 indexed citations
9.
Ajay, B. C., K. T. Ramya, R. Abdul Fiyaz, et al.. (2021). R-AMMI-LM: Linear-fit Robust-AMMI model to analyze genotype-by environment interactions. Indian Journal of Genetics and Plant Breeding (The). 81(1). 87–92. 5 indexed citations
10.
Ajay, B. C., J. Aravind, R. Abdul Fiyaz, et al.. (2020). Rectification of modified AMMI stability value (MASV). Indian Journal of Genetics and Plant Breeding (The). 79(4). 12 indexed citations
11.
Ajay, B. C., et al.. (2017). Response of different peanut genotypes to reduced phosphorous availability. Indian Journal of Genetics and Plant Breeding (The). 77(1). 105–105. 5 indexed citations
12.
Bera, S. K., et al.. (2016). Identification of groundnut genotypes and wild species resistant to stem rot using an efficient field screening technique. Electronic Journal of Plant Breeding. 7(1). 61–61. 11 indexed citations
13.
Bera, S. K., et al.. (2014). Variable response of interspecific breeding lines of groundnut to Sclerotium rolfsii infection under field and laboratory conditions. Electronic Journal of Plant Breeding. 5(1). 22–29. 16 indexed citations
14.
Kumar, Narendra, et al.. (2014). Phenotyping of Groundnut Genotypes for Resistance to Sclerotium Stem Rot. JOURNAL OF MYCOLOGY AND PLANT PATHOLOGY. 44(4). 459–462. 10 indexed citations
15.
Bera, S. K., et al.. (2014). Molecular diversity and association of simple sequence repeat markers with bud necrosis disease in interspecific breeding lines and cultivars of peanut (Arachis hypogaea L.). Australian Journal of Crop Science. 8(5). 771–781. 10 indexed citations
16.
Bera, S. K., et al.. (2013). Molecular diversity and association of simple sequence repeat markers with kernel mass in cultivated groundnut (Arachis hypogaea L.). Australian Journal of Crop Science. 7(8). 1152–1159. 4 indexed citations
17.
Bera, S. K., et al.. (2013). Sources of peanut bud necrosis disease resistance in groundnut with desirable yield parameters and pod features. Indian Phytopathology. 66(2). 215–216. 2 indexed citations
18.
Bera, S. K., B. C. Ajay, & A. L. Singh. (2013). WRKY and Na + /H + antiporter genes conferring tolerance to salinity in interspecific derivatives of peanut (Arachis hypogaea L.). Australian Journal of Crop Science. 7(8). 1173–1180. 6 indexed citations
19.
Bera, S. K., et al.. (2012). Molecular diversity analysis in peanut bud necrosis disease resistant groundnut genotypes. BIOINFOLET - A Quarterly Journal of Life Sciences. 9(4). 622–626. 3 indexed citations
20.
Ghosh, Probir Kumar & S. K. Bera. (2000). Wild Arachis species: a possible source of legume fodder in India.. 88–89. 2 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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