Madhurababu Kunta

64 total papers · 690 total citations
47 papers, 502 citations indexed

About

Madhurababu Kunta is a scholar working on Plant Science, Insect Science and Cell Biology. According to data from OpenAlex, Madhurababu Kunta has authored 47 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 14 papers in Insect Science and 12 papers in Cell Biology. Recurrent topics in Madhurababu Kunta's work include Phytoplasmas and Hemiptera pathogens (27 papers), Plant Pathogenic Bacteria Studies (17 papers) and Plant Pathogens and Fungal Diseases (12 papers). Madhurababu Kunta is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (27 papers), Plant Pathogenic Bacteria Studies (17 papers) and Plant Pathogens and Fungal Diseases (12 papers). Madhurababu Kunta collaborates with scholars based in United States, China and Bulgaria. Madhurababu Kunta's co-authors include John V. da Graça, Mamoudou Sétamou, Eliezer S. Louzada, Nasir S. A. Malik, Olufemi J. Alabi, W. Evan Braswell, Jong‐Won Park, José L. Pérez, J. Rascoe and Ninghui Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Madhurababu Kunta

44 papers receiving 478 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madhurababu Kunta 428 165 111 84 54 47 502
Jiahuai Hu 427 1.0× 77 0.5× 84 0.8× 135 1.6× 129 2.4× 30 602
A.M. D’Onghia 407 1.0× 117 0.7× 99 0.9× 90 1.1× 86 1.6× 65 477
Joel D. Arneodo 356 0.8× 325 2.0× 54 0.5× 159 1.9× 11 0.2× 47 597
Michela Chiumenti 509 1.2× 172 1.0× 126 1.1× 74 0.9× 24 0.4× 47 536
Ana Pérez‐de‐Castro 501 1.2× 76 0.5× 35 0.3× 95 1.1× 37 0.7× 36 597
Cherie Gambley 425 1.0× 113 0.7× 23 0.2× 108 1.3× 51 0.9× 42 495
Ajay Kumar Tiwari 514 1.2× 36 0.2× 187 1.7× 67 0.8× 69 1.3× 78 572
Slobodan Krnjajić 360 0.8× 196 1.2× 80 0.7× 53 0.6× 29 0.5× 54 456
Yoko B. Rosato 446 1.0× 99 0.6× 90 0.8× 195 2.3× 86 1.6× 33 596
Norma Elena Leyva‐López 452 1.1× 124 0.8× 185 1.7× 30 0.4× 32 0.6× 46 506

Countries citing papers authored by Madhurababu Kunta

Since Specialization
Citations

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

Fields of papers citing papers by Madhurababu Kunta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhurababu Kunta

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

All Works

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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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2026