T. S. Bharaj

741 total citations
19 papers, 533 citations indexed

About

T. S. Bharaj is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, T. S. Bharaj has authored 19 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in T. S. Bharaj's work include Rice Cultivation and Yield Improvement (7 papers), GABA and Rice Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). T. S. Bharaj is often cited by papers focused on Rice Cultivation and Yield Improvement (7 papers), GABA and Rice Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). T. S. Bharaj collaborates with scholars based in India, Philippines and China. T. S. Bharaj's co-authors include S. S. Virmani, Gulshan Mahajan, Jagadish Timsina, Yuwei Lu, G. Zhang, Yu-Ting Huang, Yogesh Vikal, Kuldeep Singh, Jagjeet Singh Lore and Dharminder Bhatia and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

T. S. Bharaj

19 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. S. Bharaj India	10	468	187	117	35	31	19	533
Daigo Makihara Japan	12	359 0.8×	84 0.4×	35 0.3×	44 1.3×	26 0.8×	42	407
Alain P. Bonjean France	4	484 1.0×	145 0.8×	75 0.6×	17 0.5×	11 0.4×	6	538
Fatih Özdemir Türkiye	10	566 1.2×	134 0.7×	33 0.3×	28 0.8×	45 1.5×	24	633
J. N. Reddy India	11	613 1.3×	93 0.5×	26 0.2×	31 0.9×	20 0.6×	34	629
Shailesh Kumar Singh India	10	357 0.8×	126 0.7×	54 0.5×	42 1.2×	16 0.5×	18	423
L. V. Subba Rao India	13	450 1.0×	103 0.6×	42 0.4×	48 1.4×	15 0.5×	54	506
Samir Alahmad Australia	11	484 1.0×	117 0.6×	31 0.3×	28 0.8×	46 1.5×	25	519
Ashok Kumar Parihar India	14	525 1.1×	60 0.3×	48 0.4×	20 0.6×	17 0.5×	60	590
Hari Krishna India	14	549 1.2×	179 1.0×	43 0.4×	21 0.6×	7 0.2×	56	602

Countries citing papers authored by T. S. Bharaj

Since Specialization

Citations

This map shows the geographic impact of T. S. Bharaj'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 T. S. Bharaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Bharaj more than expected).

Fields of papers citing papers by T. S. Bharaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. S. Bharaj

This figure shows the co-authorship network connecting the top 25 collaborators of T. S. Bharaj. A scholar is included among the top collaborators of T. S. Bharaj 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 T. S. Bharaj. T. S. Bharaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Gaikwad, Kiran B., Naveen Singh, Dharminder Bhatia, et al.. (2019). Reinventing heterosis phenomenon through deployment of alien introgression lines in rice (Oryza sativa L.). Plant Breeding. 138(3). 277–289. 2 indexed citations

Gaikwad, Kiran B., Naveen Singh, Dharminder Bhatia, et al.. (2018). Heterotic response of genomic regions derived from Oryza rufipogon and O. nivara in improving grain morphology and quality of indica rice ( Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 78(2). 155–155. 3 indexed citations

Gaikwad, Kiran B., Naveen Singh, Dharminder Bhatia, et al.. (2014). Yield-Enhancing Heterotic QTL Transferred from Wild Species to Cultivated Rice Oryza sativa L. PLoS ONE. 9(6). e96939–e96939. 32 indexed citations

Singh, Naveen, Rupinder Kaur, Neerja Sharma, Gulshan Mahajan, & T. S. Bharaj. (2012). Changes in yield and grain quality characteristics of irrigated rice (Oryza sativa) genotypes under aerobic conditions. The Indian Journal of Agricultural Sciences. 82(7). 589–95. 7 indexed citations

Vasanthi, S., Prabhakaran T. Raghu, M. Vishnu Vardhana Rao, et al.. (2012). Aflatoxin contamination in stored rice variety PAU 201 collected from Punjab, India.. PubMed. 136(1). 89–97. 21 indexed citations

Bhatia, Dharminder, Rajiv Sharma, Yogesh Vikal, et al.. (2011). Marker‐Assisted Development of Bacterial Blight Resistant, Dwarf, and High Yielding Versions of Two Traditional Basmati Rice Cultivars. Crop Science. 51(2). 759–770. 22 indexed citations

Lore, Jagjeet Singh, et al.. (2011). Genotypic and Pathotypic Diversity of Xanthomonas oryzae pv. oryzae, the Cause of Bacterial Blight of Rice in Punjab State of India. Journal of Phytopathology. 159(7-8). 479–487. 48 indexed citations

Sharma, Neerja, et al.. (2008). Quality characteristics of aromatic fine grained rice (Oryza sativa) genotypes for utilization in basmati improvement. The Indian Journal of Agricultural Sciences. 78(1). 44–49. 9 indexed citations

Singh, Pritpal, et al.. (2008). Genetic diversity among rice varieties cultivated in Punjab. ORYZA- An International Journal on Rice. 45(4). 277–279. 7 indexed citations

10.

Kaur, Navjot, et al.. (2008). Improved methods for anther and pollen culture in rice. 503–505. 2 indexed citations

11.

Mahajan, Gulshan, T. S. Bharaj, & Jagadish Timsina. (2008). Yield and water productivity of rice as affected by time of transplanting in Punjab, India. Agricultural Water Management. 96(3). 525–532. 81 indexed citations

12.

Vikal, Yogesh, Rajiv Sharma, Jagjeet Singh Lore, et al.. (2008). A novel bacterial blight resistance gene fromOryza nivaramapped to 38 kb region on chromosome 4L and transferred toOryza sativaL.. Genetics Research. 90(5). 397–407. 97 indexed citations

13.

Sharma, Subhash, et al.. (2006). Oryza nivara (Sharma et Shastry) the progenitor of O. sativa (L.) subspecies indica harbours rich genetic diversity as measured by SSR markers. Current Science. 91(8). 1079–1085. 21 indexed citations

14.

Bharaj, T. S., et al.. (2005). Breeding bacterial blight resistant rice (Oryza sativa L.) hybrids. Indian Journal of Genetics and Plant Breeding (The). 65(2). 121–122. 3 indexed citations

15.

Zhang, G., Yuwei Lu, T. S. Bharaj, S. S. Virmani, & Yu-Ting Huang. (1997). Mapping of the Rf-3 nuclear fertility-restoring gene for WA cytoplasmic male sterility in rice using RAPD and RFLP markers. Theoretical and Applied Genetics. 94(1). 27–33. 116 indexed citations

16.

Bharaj, T. S., S. S. Virmani, & G. S. Khush. (1995). Chromosomal location of fertility restoring genes for ‘wild abortive’ cytoplasmic male sterility using primary trisomics in rice. Euphytica. 83(3). 169–173. 31 indexed citations

17.

Sharma, Rajni, et al.. (1993). Pathological Constraints on Hybrid Rice Production Technology. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

18.

Bharaj, T. S., et al.. (1991). Genetics of fertility restoration of ‘Wild Abortive’ cytoplasmic male sterility in rice, Oryza sativa L.. Euphytica. 56(3). 199–203. 27 indexed citations

19.

Bharaj, T. S., et al.. (1990). Ease of Fertility Restoration in CMS Lines. Zenodo (CERN European Organization for Nuclear Research). 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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