Malathi Surapaneni

21 total papers · 570 total citations
17 papers, 368 citations indexed

About

Malathi Surapaneni is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Malathi Surapaneni has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 10 papers in Genetics and 1 paper in Agronomy and Crop Science. Recurrent topics in Malathi Surapaneni's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Rice Cultivation and Yield Improvement (9 papers) and Genetics and Plant Breeding (7 papers). Malathi Surapaneni is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Rice Cultivation and Yield Improvement (9 papers) and Genetics and Plant Breeding (7 papers). Malathi Surapaneni collaborates with scholars based in India. Malathi Surapaneni's co-authors include Sarla Neelamraju, Divya Balakrishnan, Sukumar Mesapogu, Lakshminarayana R. Vemireddy, E. A. Siddiq, Ghanta Anuradha, D. Subrahmanyam, V. Ravindra Babu, Jyothi Badri and G. Padmavathi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Malathi Surapaneni

17 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
Malathi Surapaneni 350 190 38 16 13 17 368
Sukumar Mesapogu 319 0.9× 143 0.8× 37 1.0× 19 1.2× 37 2.8× 13 344
Axel Schechert 395 1.1× 271 1.4× 40 1.1× 18 1.1× 18 1.4× 15 416
Yuhua He 318 0.9× 99 0.5× 65 1.7× 14 0.9× 11 0.8× 30 362
Lirui Cheng 416 1.2× 170 0.9× 70 1.8× 17 1.1× 20 1.5× 31 433
P. H. N. Rangel 290 0.8× 161 0.8× 64 1.7× 18 1.1× 10 0.8× 17 343
Ivone de Bem Oliveira 279 0.8× 162 0.9× 33 0.9× 31 1.9× 20 1.5× 16 344
Felipe López-Hernández 305 0.9× 80 0.4× 61 1.6× 35 2.2× 7 0.5× 18 374
Yan R. Tomason 286 0.8× 213 1.1× 95 2.5× 6 0.4× 9 0.7× 18 353
Guili Yang 395 1.1× 141 0.7× 127 3.3× 8 0.5× 16 1.2× 22 437
J. Gai 361 1.0× 101 0.5× 125 3.3× 13 0.8× 19 1.5× 15 421

Countries citing papers authored by Malathi Surapaneni

Since Specialization
Citations

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

Fields of papers citing papers by Malathi Surapaneni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malathi Surapaneni

This figure shows the co-authorship network connecting the top 25 collaborators of Malathi Surapaneni. A scholar is included among the top collaborators of Malathi Surapaneni 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 Malathi Surapaneni. Malathi Surapaneni 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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