J. Padmavathi

417 total citations
10 papers, 299 citations indexed

About

J. Padmavathi is a scholar working on Insect Science, Molecular Biology and Plant Science. According to data from OpenAlex, J. Padmavathi has authored 10 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Insect Science, 6 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in J. Padmavathi's work include Entomopathogenic Microorganisms in Pest Control (8 papers), Insect Resistance and Genetics (6 papers) and Insect Pest Control Strategies (4 papers). J. Padmavathi is often cited by papers focused on Entomopathogenic Microorganisms in Pest Control (8 papers), Insect Resistance and Genetics (6 papers) and Insect Pest Control Strategies (4 papers). J. Padmavathi collaborates with scholars based in India, Germany and United States. J. Padmavathi's co-authors include K. Uma Devi, V. Sridevi, Nageswara Rao Reddy Neelapu, Annette Reineke, H. C. Sharma, N. Seetharama and K. V. Ramesh and has published in prestigious journals such as Genome, Journal of Invertebrate Pathology and World Journal of Microbiology and Biotechnology.

In The Last Decade

J. Padmavathi

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Padmavathi India 9 242 169 134 33 30 10 299
Radix Suharjo Indonesia 9 87 0.4× 166 1.0× 91 0.7× 7 0.2× 11 0.4× 56 271
R. T. Alves Brazil 7 188 0.8× 142 0.8× 117 0.9× 4 0.1× 13 0.4× 21 233
Qingmei Weng China 11 102 0.4× 327 1.9× 99 0.7× 5 0.2× 9 0.3× 11 390
Adriano E Pereira United States 12 331 1.4× 142 0.8× 318 2.4× 31 0.9× 1 0.0× 31 415
Eduardo Hidalgo Costa Rica 12 127 0.5× 207 1.2× 66 0.5× 20 0.6× 18 338
Sinara Artico Brazil 8 57 0.2× 255 1.5× 377 2.8× 38 1.2× 11 468
James P. B. Lloyd Australia 9 23 0.1× 247 1.5× 303 2.3× 13 0.4× 7 0.2× 13 427
Rachel Hillmer United States 6 20 0.1× 338 2.0× 119 0.9× 4 0.1× 16 0.5× 11 407
Christoph J. Thieme Germany 7 19 0.1× 512 3.0× 316 2.4× 14 0.4× 3 0.1× 8 612
Laura Perrot France 7 72 0.3× 298 1.8× 355 2.6× 6 0.2× 2 0.1× 8 388

Countries citing papers authored by J. Padmavathi

Since Specialization
Citations

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

Fields of papers citing papers by J. Padmavathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Padmavathi

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

All Works

10 of 10 papers shown
1.
Padmavathi, J., et al.. (2018). Credit Card Fraud Detection Using Learning to Rank Approach. 191–196. 11 indexed citations
2.
Padmavathi, J.. (2011). A comparative study on breast cancer prediction using RBF and MLP. 24 indexed citations
3.
Devi, K. Uma, et al.. (2008). A study of host specificity in the entomopathogenic fungus Beauveria bassiana (Hypocreales, Clavicipitaceae). Biocontrol Science and Technology. 18(10). 975–989. 67 indexed citations
4.
5.
Devi, K. Uma, et al.. (2005). Effect of high temperature and water stress on in vitro germination and growth in isolates of the entomopathogenic fungus Beauveria bassiana (Bals.) Vuillemin. Journal of Invertebrate Pathology. 88(3). 181–189. 89 indexed citations
6.
Padmavathi, J., et al.. (2003). Telomere fingerprinting for assessing chromosome number, isolate typing and recombination in the entomopathogen Beauveria bassiana. Mycological Research. 107(5). 572–580. 19 indexed citations
7.
Padmavathi, J., et al.. (2003). The optimum and tolerance pH range is correlated to colonial morphology in isolates of the entomopathogenic fungus Beauveria bassiana – a potential biopesticide. World Journal of Microbiology and Biotechnology. 19(5). 469–477. 29 indexed citations
8.
Devi, K. Uma, et al.. (2003). Susceptibility to Fungi of Cotton Boll Worms Before and After a Natural Epizootic of the Entomopathogenic Fungus Nomuraea rileyi (Hyphomycetes). Biocontrol Science and Technology. 13(3). 367–371. 10 indexed citations
9.
Devi, K. Uma, J. Padmavathi, H. C. Sharma, & N. Seetharama. (2001). Laboratory evaluation of the virulence of Beauveria bassiana isolates to the sorghum shoot borer Chilo partellus Swinhoe (Lepidoptera: Pyralidae) and their characterization by RAPD-PCR. World Journal of Microbiology and Biotechnology. 17(2). 131–137. 19 indexed citations
10.
Ramesh, K. V., et al.. (1999). Beauveria bassiana (Bals.) vuill. (Hyphomycetes, Moniliales) in cotton pest management: A field trial on the cotton leaf roller, Sylepta derogata Fabricius (Lepidoptera: Pyraustidae). Journal of Entomological Research. 23(3). 267–271. 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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