B. C. Viraktamath

975 total citations
28 papers, 567 citations indexed

About

B. C. Viraktamath is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, B. C. Viraktamath has authored 28 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 12 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in B. C. Viraktamath's work include Rice Cultivation and Yield Improvement (15 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and GABA and Rice Research (11 papers). B. C. Viraktamath is often cited by papers focused on Rice Cultivation and Yield Improvement (15 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and GABA and Rice Research (11 papers). B. C. Viraktamath collaborates with scholars based in India and Philippines. B. C. Viraktamath's co-authors include R. M. Sundaram, S. M. Balachandran, Sunil Biradar, S. S. Virmani, M. S. Ramesha, Carlos Casal, M. Sheshu Madhav, N. Shobha Rani, G. Ravikumar and S. R. Voleti and has published in prestigious journals such as Gene, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

B. C. Viraktamath

24 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. C. Viraktamath India 13 532 241 132 24 22 28 567
Sunil Biradar India 10 427 0.8× 171 0.7× 82 0.6× 26 1.1× 17 0.8× 12 471
Sérgio Tadeu Sibov Brazil 10 384 0.7× 148 0.6× 81 0.6× 18 0.8× 26 1.2× 28 433
Mireille Khairallah Mexico 6 578 1.1× 288 1.2× 78 0.6× 34 1.4× 33 1.5× 8 642
F. Fusari Italy 6 314 0.6× 140 0.6× 84 0.6× 32 1.3× 18 0.8× 7 373
G. J. N. Rao India 14 580 1.1× 176 0.7× 132 1.0× 24 1.0× 16 0.7× 28 616
Bishnu Charan Marndi India 12 367 0.7× 167 0.7× 47 0.4× 14 0.6× 14 0.6× 28 399
Nimai Prasad Mandal India 11 397 0.7× 121 0.5× 67 0.5× 31 1.3× 12 0.5× 19 416
Katsuyuki Ichitani Japan 14 445 0.8× 288 1.2× 125 0.9× 29 1.2× 26 1.2× 39 515
Jihad Orabi Denmark 15 707 1.3× 330 1.4× 72 0.5× 44 1.8× 43 2.0× 44 780
M. S. Ramesha India 16 538 1.0× 255 1.1× 78 0.6× 7 0.3× 28 1.3× 38 574

Countries citing papers authored by B. C. Viraktamath

Since Specialization
Citations

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

Fields of papers citing papers by B. C. Viraktamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. C. Viraktamath. 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 B. C. Viraktamath. The network helps show where B. C. Viraktamath may publish in the future.

Co-authorship network of co-authors of B. C. Viraktamath

This figure shows the co-authorship network connecting the top 25 collaborators of B. C. Viraktamath. A scholar is included among the top collaborators of B. C. Viraktamath 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 B. C. Viraktamath. B. C. Viraktamath 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.
Senguttuvel, P., et al.. (2014). Changes in photosynthesis, chlorophyll fluorescence, gas exchange parameters and osmotic potential to salt stress during early seedling stage in rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 46(1). 120–135. 15 indexed citations
2.
Ravikumar, G., S. R. Voleti, D. Subrahmanyam, et al.. (2014). Stress-inducible expression of AtDREB1A transcription factor greatly improves drought stress tolerance in transgenic indica rice. Transgenic Research. 23(3). 421–439. 86 indexed citations
3.
Revathi, P., Arun Kumar Singh, R. M. Sundaram, et al.. (2013). Efficiency of molecular markers in identifying fertility restoration trait of WA-CMS system in rice. Indian Journal of Genetics and Plant Breeding (The). 73(1). 89–89. 19 indexed citations
4.
Madhav, M. Sheshu, et al.. (2013). Identification of abiotic stress miRNA transcription factor binding motifs (TFBMs) in rice. Gene. 531(1). 15–22. 18 indexed citations
5.
Prasad, M. S., M. Sheshu Madhav, G. S. Laha, et al.. (2012). Introgression of Blast Resistance Gene Pi-kh into Elite indica Rice Variety Improved Samba Mahsuri. Indian journal of plant protection. 40(1). 52–56. 4 indexed citations
6.
Singh, Surendra, et al.. (2012). Synchronization studies in hybrid rice seed production Synchronization studies in hybrid rice seed production. 23(1). 1–1. 1 indexed citations
7.
Swamy, B. P. Mallikarjuna, N. Shobha Rani, G. S. V. Prasad, et al.. (2012). QTL Analysis for Grain Quality Traits in 2 BC2F2 Populations Derived from Crosses between Oryza sativa cv Swarna and 2 Accessions of O. nivara. Journal of Heredity. 103(3). 442–452. 45 indexed citations
8.
Prasad, M. S., et al.. (2011). Combining Blast and Bacterial Blight Resistance in Rice Cultivar, Improved Samba Mahsuri. Indian journal of plant protection. 39(2). 124–129. 4 indexed citations
9.
Hari, Y., B. C. Viraktamath, M. S. Ramesha, et al.. (2011). Marker‐assisted improvement of a stable restorer line, KMR‐3R and its derived hybrid KRH2 for bacterial blight resistance and grain quality. Plant Breeding. 130(6). 608–616. 21 indexed citations
10.
Revathi, P., et al.. (2010). Molecular screening for the presence of wide compatibility gene S5 neutral allele in the parental lines of hybrid rice. Indian Journal of Genetics and Plant Breeding (The). 70(4). 373–376. 4 indexed citations
11.
Ramkumar, G., Akshaya Kumar Biswal, A. K. P. Sivaranjani, et al.. (2010). Identifying novel alleles of rice blast resistance genes Pikh and Pita through allele mining. 9 indexed citations
12.
Ramkumar, G., A. K. P. Sivaranjani, Manish K. Pandey, et al.. (2010). Development of a PCR-based SNP marker system for effective selection of kernel length and kernel elongation in rice. Molecular Breeding. 26(4). 735–740. 40 indexed citations
13.
Ram, T., et al.. (2007). Triple test cross analysis for yield and yield components in rice (Oryza sativa). The Indian Journal of Agricultural Sciences. 77(6). 393–395. 2 indexed citations
14.
Padmavathi, G., et al.. (2007). Genetics of whitebacked planthopper, Sogatella furcifera (Horváth), resistance in rice.. SABRAO Journal of Breeding and Genetics. 39(2). 99–105. 4 indexed citations
15.
Sundaram, R. M., et al.. (2006). Identification of simple sequence repeat markers for utilizing wide-compatibility genes in inter-subspecific hybrids in rice (Oryza sativa L.). Theoretical and Applied Genetics. 113(3). 509–517. 22 indexed citations
16.
Viraktamath, B. C., et al.. (2003). Improving grain quality in hybrid rice.. 69–82. 1 indexed citations
17.
Viraktamath, B. C., et al.. (1999). Leaf water potential and stomatal resistance in cocoa hybrids and parents. 6(2). 116–118. 3 indexed citations
18.
Viraktamath, B. C., et al.. (1998). Effect of seedling age on flowering time in A, B, and R lines. Zenodo (CERN European Organization for Nuclear Research).
19.
Viraktamath, B. C., et al.. (1998). New cytoplasmic male sterile (CMS) lines with diversified CMS sources and better outcrossing traits in rice. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
20.
Viraktamath, B. C., et al.. (1997). Nucleus and breeder seed production of thermosensitive genic male sterile lines. Zenodo (CERN European Organization for Nuclear Research). 3 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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