Prasad Bajaj

3.3k total citations
38 papers, 883 citations indexed

About

Prasad Bajaj is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Prasad Bajaj has authored 38 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Prasad Bajaj's work include Genetic and Environmental Crop Studies (13 papers), Peanut Plant Research Studies (10 papers) and Agricultural pest management studies (10 papers). Prasad Bajaj is often cited by papers focused on Genetic and Environmental Crop Studies (13 papers), Peanut Plant Research Studies (10 papers) and Agricultural pest management studies (10 papers). Prasad Bajaj collaborates with scholars based in India, Australia and United States. Prasad Bajaj's co-authors include Rajeev K. Varshney, Karabi Datta, Kutubuddin A. Molla, Swapan K. Datta, Johiruddin Molla, Subhasis Karmakar, Manish K. Pandey, Baozhu Guo, Annapurna Chitikineni and Spurthi N. Nayak and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Prasad Bajaj

37 papers receiving 874 citations

Peers

Prasad Bajaj
Jake C. Fountain United States
L. Herselman South Africa
Rajtilak Majumdar United States
Boping Fang China
Qingqin Cao China
Guillaume Ménard United Kingdom
V. Anjaiah India
Ramu S. Vemanna India
Jake C. Fountain United States
Prasad Bajaj
Citations per year, relative to Prasad Bajaj Prasad Bajaj (= 1×) peers Jake C. Fountain

Countries citing papers authored by Prasad Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Prasad Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasad Bajaj. 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 Prasad Bajaj. The network helps show where Prasad Bajaj may publish in the future.

Co-authorship network of co-authors of Prasad Bajaj

This figure shows the co-authorship network connecting the top 25 collaborators of Prasad Bajaj. A scholar is included among the top collaborators of Prasad Bajaj 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 Prasad Bajaj. Prasad Bajaj 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
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Pandey, Manish K., Aamir W. Khan, Pushpesh Joshi, et al.. (2025). Development of a cost‐effective high‐throughput mid‐density 5K genotyping assay for germplasm characterization and breeding in groundnut. The Plant Genome. 18(2). e70019–e70019. 1 indexed citations
3.
Joshi, Pushpesh, Vinay Sharma, Arun K. Pandey, et al.. (2025). Identification of miRNAs associated with Aspergillus flavus infection and their targets in groundnut (Arachis hypogaea L.). BMC Plant Biology. 25(1). 345–345. 3 indexed citations
4.
Gangurde, Sunil S., Walid Korani, Prasad Bajaj, et al.. (2024). Aspergillus flavus pangenome (AflaPan) uncovers novel aflatoxin and secondary metabolite associated gene clusters. BMC Plant Biology. 24(1). 354–354. 9 indexed citations
5.
Sharma, Vinay, Sunil S. Gangurde, Spurthi N. Nayak, et al.. (2023). Genetic mapping identified three hotspot genomic regions and candidate genes controlling heat tolerance-related traits in groundnut. Frontiers in Plant Science. 14. 1182867–1182867. 10 indexed citations
6.
Thudi, Mahendar, Srinivasan Samineni, Martin P. Boer, et al.. (2023). Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea. The Plant Genome. 17(1). e20333–e20333. 18 indexed citations
7.
Ruperao, Pradeep, Prasad Bajaj, S. Rajkumar, et al.. (2023). A pilot-scale comparison between single and double-digest RAD markers generated using GBS strategy in sesame (Sesamum indicum L.). PLoS ONE. 18(6). e0286599–e0286599. 6 indexed citations
8.
Djèdatin, Gustave, Rachit K. Saxena, Prasad Bajaj, et al.. (2022). Genetic diversity and population structure of pigeonpea (Cajanus cajan [L.] Millspaugh) landraces grown in Benin revealed by Genotyping-By-Sequencing. PLoS ONE. 17(7). e0271565–e0271565. 3 indexed citations
9.
Barmukh, Rutwik, Manish Roorkiwal, G. P. Dixit, et al.. (2022). Characterization of ‘QTL-hotspot’ introgression lines reveals physiological mechanisms and candidate genes associated with drought adaptation in chickpea. Journal of Experimental Botany. 73(22). 7255–7272. 22 indexed citations
10.
Ghatak, Arindam, Gert Bachmann, Doris Engelmeier, et al.. (2021). Root exudation of contrasting drought-stressed pearl millet genotypes conveys varying biological nitrification inhibition (BNI) activity. Biology and Fertility of Soils. 58(3). 291–306. 46 indexed citations
11.
Palakurthi, Ramesh, Aamir W. Khan, Uday Chand Jha, et al.. (2021). MutMap Approach Enables Rapid Identification of Candidate Genes and Development of Markers Associated With Early Flowering and Enhanced Seed Size in Chickpea (Cicer arietinum L.). Frontiers in Plant Science. 12. 688694–688694. 11 indexed citations
12.
Thudi, Mahendar, Yinglong Chen, Jiayin Pang, et al.. (2021). Novel Genes and Genetic Loci Associated With Root Morphological Traits, Phosphorus-Acquisition Efficiency and Phosphorus-Use Efficiency in Chickpea. Frontiers in Plant Science. 12. 636973–636973. 20 indexed citations
13.
Jha, Uday Chand, Harsh Nayyar, Ramesh Palakurthi, et al.. (2021). Major QTLs and Potential Candidate Genes for Heat Stress Tolerance Identified in Chickpea (Cicer arietinum L.). Frontiers in Plant Science. 12. 655103–655103. 47 indexed citations
14.
Sinha, Pallavi, Prasad Bajaj, Lekha T. Pazhamala, et al.. (2020). Arachis hypogaea gene expression atlas for fastigiata subspecies of cultivated groundnut to accelerate functional and translational genomics applications. Plant Biotechnology Journal. 18(11). 2187–2200. 35 indexed citations
15.
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Molla, Kutubuddin A., Subhasis Karmakar, Johiruddin Molla, et al.. (2019). Understanding sheath blight resistance in rice: the road behind and the road ahead. Plant Biotechnology Journal. 18(4). 895–915. 187 indexed citations
17.
Fountain, Jake C., Liming Yang, Manish K. Pandey, et al.. (2019). Carbohydrate, glutathione, and polyamine metabolism are central to Aspergillus flavus oxidative stress responses over time. BMC Microbiology. 19(1). 209–209. 18 indexed citations
18.
Pazhamala, Lekha T., Gaurav Agarwal, Prasad Bajaj, et al.. (2016). Deciphering Transcriptional Programming during Pod and Seed Development Using RNA-Seq in Pigeonpea (Cajanus cajan). PLoS ONE. 11(10). e0164959–e0164959. 11 indexed citations
19.
Fountain, Jake C., Prasad Bajaj, Manish K. Pandey, et al.. (2016). Oxidative stress and carbon metabolism influence Aspergillus flavus transcriptome composition and secondary metabolite production. Scientific Reports. 6(1). 38747–38747. 78 indexed citations
20.
Fountain, Jake C., Prasad Bajaj, Spurthi N. Nayak, et al.. (2016). Responses of Aspergillus flavus to Oxidative Stress Are Related to Fungal Development Regulator, Antioxidant Enzyme, and Secondary Metabolite Biosynthetic Gene Expression. Frontiers in Microbiology. 7. 2048–2048. 62 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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