S. K. Hajira

660 total citations
9 papers, 156 citations indexed

About

S. K. Hajira is a scholar working on Plant Science, Cell Biology and Genetics. According to data from OpenAlex, S. K. Hajira has authored 9 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Cell Biology and 1 paper in Genetics. Recurrent topics in S. K. Hajira's work include Plant Pathogenic Bacteria Studies (6 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Disease Resistance and Genetics (4 papers). S. K. Hajira is often cited by papers focused on Plant Pathogenic Bacteria Studies (6 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Disease Resistance and Genetics (4 papers). S. K. Hajira collaborates with scholars based in India. S. K. Hajira's co-authors include R. M. Sundaram, G. S. Laha, Yugander Arra, M. Sheshu Madhav, S. Vanisri, G. S. Laha, D. Ladhalakshmi, V. Ravindra Babu, V. Prakasam and M. Srinivas Prasad and has published in prestigious journals such as PLoS ONE, Plants and Genetics Research.

In The Last Decade

S. K. Hajira

8 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. K. Hajira India	5	153	23	20	15	3	9	156
Lise L. Mahoney United States	6	103 0.7×	32 1.4×	13 0.7×	26 1.7×	6 2.0×	9	107
Renhui Zhao China	11	284 1.9×	33 1.4×	27 1.4×	19 1.3×	4 1.3×	15	295
G. S. Laha India	7	170 1.1×	24 1.0×	25 1.3×	40 2.7×	6 2.0×	20	175
Matthias Heuberger Switzerland	6	133 0.9×	30 1.3×	17 0.8×	11 0.7×		12	159
Fengya Zheng China	5	118 0.8×	27 1.2×	15 0.8×	7 0.5×	4 1.3×	5	131
Lukas Kunz Switzerland	5	183 1.2×	55 2.4×	9 0.5×	29 1.9×	6 2.0×	11	196
Ryan Parks United States	10	351 2.3×	28 1.2×	27 1.4×	18 1.2×	7 2.3×	13	367
Gerbert Sylvestre Dossa Philippines	6	141 0.9×	14 0.6×	8 0.4×	25 1.7×	7 2.3×	9	151
Junpu Liu China	6	90 0.6×	48 2.1×	16 0.8×	5 0.3×	4 1.3×	13	106
Victoria Widrig Switzerland	3	119 0.8×	18 0.8×	12 0.6×	5 0.3×		7	125

Countries citing papers authored by S. K. Hajira

Since Specialization

Citations

This map shows the geographic impact of S. K. Hajira'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. Hajira 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. Hajira more than expected).

Fields of papers citing papers by S. K. Hajira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

Balakrishnan, Divya, S. K. Hajira, Puvvada Perraju, et al.. (2023). Molecular and Morphological Characterization of Introgression Lines with Resistance to Bacterial Leaf Blight and Blast in Rice. Plants. 12(16). 3012–3012. 2 indexed citations

Rekha, G., G. Harika, M. Anila, et al.. (2022). Marker assisted pedigree breeding based improvement of the Indian mega variety of rice MTU1010 for resistance against bacterial blight and blast and tolerance to low soil phosphorus. PLoS ONE. 17(1). e0260535–e0260535. 6 indexed citations

Ulaganathan, Kandasamy, Divya Balakrishnan, A. S. Hari Prasad, et al.. (2021). Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population. 3 Biotech. 11(12). 513–513. 4 indexed citations

Hajira, S. K., M. Anila, G. Rekha, et al.. (2021). Identification of novel sources of resistance against bacterial blight disease through intensive screening of wild rice introgression lines. 49(2).

Arra, Yugander, R. M. Sundaram, D. Ladhalakshmi, et al.. (2017). Virulence profiling of Xanthomonas oryzae pv. oryzae isolates, causing bacterial blight of rice in India. European Journal of Plant Pathology. 149(1). 171–191. 39 indexed citations

Hajira, S. K., R. M. Sundaram, G. S. Laha, et al.. (2016). A Single-Tube, Functional Marker-Based Multiplex PCR Assay for Simultaneous Detection of Major Bacterial Blight Resistance Genes Xa21, xa13 and xa5 in Rice. Rice Science. 23(3). 144–151. 30 indexed citations

Vanisri, S., et al.. (2016). Marker-Assisted Pyramiding of Genes Conferring Resistance Against Bacterial Blight and Blast Diseases into Indian Rice Variety MTU1010. Rice Science. 23(6). 306–316. 68 indexed citations

Laha, G. S., B. C. Viraktamath, Y. Hari, et al.. (2011). Identification, molecular mapping and marker-assisted introgression of novel bacterial blight resistance genes from wild relatives of Oryza. Indian Journal of Genetics and Plant Breeding (The). 71. 0–0. 1 indexed citations

Laha, G. S., Bhartendu Nath Mishra, B. C. Viraktamath, et al.. (2011). Inheritance of bacterial blight resistance in the rice cultivar Ajaya and high-resolution mapping of a major QTL associated with resistance. Genetics Research. 93(6). 397–408. 6 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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