Madhupriya

617 total citations
44 papers, 330 citations indexed

About

Madhupriya is a scholar working on Plant Science, Horticulture and Molecular Biology. According to data from OpenAlex, Madhupriya has authored 44 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 27 papers in Horticulture and 9 papers in Molecular Biology. Recurrent topics in Madhupriya's work include Phytoplasmas and Hemiptera pathogens (39 papers), Plant Pathogenic Bacteria Studies (34 papers) and Cocoa and Sweet Potato Agronomy (27 papers). Madhupriya is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (39 papers), Plant Pathogenic Bacteria Studies (34 papers) and Cocoa and Sweet Potato Agronomy (27 papers). Madhupriya collaborates with scholars based in India. Madhupriya's co-authors include G. P. Rao, Ajay Kumar Tiwari, R. Manimekalai, V. K. Baranwal, Amit Yadav, Vipool Thorat, Manoj Kumar, Sajad Un Nabi, Shailendra Kumar and S. M. P. Khurana and has published in prestigious journals such as Plant Disease, European Journal of Plant Pathology and 3 Biotech.

In The Last Decade

Madhupriya

43 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhupriya India 9 328 221 40 19 9 44 330
Franco Daniel Fernández Argentina 8 203 0.6× 95 0.4× 23 0.6× 80 4.2× 17 1.9× 32 211
H. G. Montano Brazil 7 310 0.9× 197 0.9× 27 0.7× 114 6.0× 26 2.9× 21 317
J. Mitrović Serbia 8 266 0.8× 121 0.5× 22 0.6× 111 5.8× 27 3.0× 13 285
Kristi D. Bottner-Parker United States 10 335 1.0× 154 0.7× 26 0.7× 128 6.7× 32 3.6× 22 342
Aurore Lebeau France 5 334 1.0× 12 0.1× 40 1.0× 4 0.2× 33 3.7× 6 342
Kyle C. Weber United States 4 83 0.3× 31 0.1× 7 0.2× 12 0.6× 46 5.1× 7 92
G. T. N. Leeuw Netherlands 5 134 0.4× 12 0.1× 66 1.6× 15 0.8× 34 3.8× 11 141
Mehdi Mehrabi‐Koushki Iran 6 98 0.3× 9 0.0× 75 1.9× 3 0.2× 36 4.0× 29 110
Yongyang Xu China 8 147 0.4× 17 0.1× 6 0.1× 2 0.1× 45 5.0× 12 171
Daniel Rufino Amaral Brazil 7 112 0.3× 5 0.0× 18 0.5× 20 1.1× 20 2.2× 11 125

Countries citing papers authored by Madhupriya

Since Specialization
Citations

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

Fields of papers citing papers by Madhupriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhupriya

This figure shows the co-authorship network connecting the top 25 collaborators of Madhupriya. A scholar is included among the top collaborators of Madhupriya 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 Madhupriya. Madhupriya 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.
Rao, G. P., et al.. (2020). Genetic diversity of phytoplasma strains inducing phyllody, flat stem and witches’ broom symptoms in Manilkara zapota in India. Physiology and Molecular Biology of Plants. 26(8). 1685–1693. 3 indexed citations
2.
Madhupriya, Aundy Kumar, G. P. Rao, & S. M. P. Khurana. (2019). Development and utilization of gyrA and gyrB gene-based diagnostics for the phytoplasma classified under 16Sr I group in plants and insects. 3 Biotech. 9(5). 177–177. 3 indexed citations
3.
Rao, A. V., et al.. (2018). Molecular characterization of ‘Clover proliferation’ phytoplasma subgroup-D (16SrVI-D) associated with vegetables crops in India. Physiology and Molecular Biology of Plants. 24(2). 203–210. 8 indexed citations
4.
Kumar, Manoj, Madhupriya, & G. P. Rao. (2017). Molecular characterization, vector identification and sources of phytoplasmas associated with brinjal little leaf disease in India. 3 Biotech. 7(1). 7–7. 24 indexed citations
5.
Madhupriya, Amit Yadav, Vipool Thorat, & G. P. Rao. (2017). Molecular detection of 16SrI-B and 16SrII-D subgroups of phytoplasma associated with flat stem and witches’ broom disease of Celosia argentea L.. 3 Biotech. 7(5). 311–311. 7 indexed citations
6.
Rao, K. R. S. Sambasiva, et al.. (2017). Molecular characterization confirming phytoplasma association with spear rot disease of oil palm in India. Phytopathogenic Mollicutes. 7(2). 69–69. 1 indexed citations
7.
Madhupriya, et al.. (2017). Association of different groups of phytoplasma in flower malformation, phyllody, foliar yellowing, and little leaf disease of rose (Rosa sp.). The Journal of Horticultural Science and Biotechnology. 1–8. 8 indexed citations
8.
9.
Kumar, Manoj, et al.. (2016). First report of association of potato virus X and potato virus Y and ‘Candidatus Phytoplasma trifolii’ in brinjal in India. VirusDisease. 27(2). 207–208. 12 indexed citations
10.
Tiwari, Ajay Kumar, et al.. (2016). Detection of sugarcane grassy shoot phytoplasma (16SrXI-B subgroup) inPyrilla perpusillaWalker in Uttar Pradesh, India. Phytopathogenic Mollicutes. 6(1). 56–56. 4 indexed citations
11.
Madhupriya, et al.. (2015). ‘Candidatus Phytoplasma asteris’ association with little leaf and leaf yellows symptoms of Viola tricolor in India. Indian Phytopathology. 68(3). 355–356. 1 indexed citations
12.
Madhupriya, et al.. (2015). Identification and genetic relationship among phytoplasma strains infecting coconut, arecanut and oil palm in South India. Indian Phytopathology. 68(2). 207–214. 2 indexed citations
13.
Madhupriya, G. P. Rao, Aundy Kumar, & V. K. Baranwal. (2015). Classification of the sesame phytoplasma strains in India at the 16Sr subgroup level.. Journal of Plant Pathology. 97(3). 523–528. 12 indexed citations
14.
Nabi, Sajad Un, et al.. (2015). Identification ofCannabis sativaL. ssp.sativaas putative alternate host of sesame phyllody phytoplasma belongs to 16SrI group in India. Medicinal Plants - International Journal of Phytomedicines and Related Industries. 7(1). 68–68. 4 indexed citations
15.
Tiwari, Ajay Kumar, et al.. (2014). ‘CANDIDATUS PHYTOPLASMA ASTERIS’ ASSOCIATION WITH LEAF YELLOWS AND WITCHES’ BROOM SYMPTOMS OF CODIAEUM VARIEGATUM IN INDIA. Journal of Plant Pathology. 96. 4–114. 2 indexed citations
16.
Madhupriya, et al.. (2014). Association of ‘Candidatusphytoplasma asteris’ (16SrI group) with chlorosis and little leaf disease ofStreblus asper. Medicinal Plants - International Journal of Phytomedicines and Related Industries. 6(1). 68–68. 1 indexed citations
17.
Madhupriya, et al.. (2014). Detection and characterization of 16SrI-B phytoplasmas associated with yellow leaf disease of arecanut palm in India. Phytopathogenic Mollicutes. 4(2). 77–77. 8 indexed citations
18.
Madhupriya, et al.. (2014). Molecular confirmation and interrelationship of phytoplasmas associated with diseases of palms in South India. Phytopathogenic Mollicutes. 4(2). 41–41. 1 indexed citations
19.
Madhupriya, G. P. Rao, & S. M. P. Khurana. (2013). Association of Pigeon pea witches' broom phytoplasma (16Sr IX) infecting Phlox drummondii in India. New Disease Reports. 27(1). 15–15. 4 indexed citations
20.
Rao, G. P., et al.. (2012). Characterization of an isolate of ‘CandidatusPhytoplasma asteris’infectingZinnia elegansin India. Phytopathogenic Mollicutes. 2(1). 33–33. 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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