P. V. Malathy

583 citations
11 papers · 507 · h-index 10

Impact in

    • Reproductive Physiology in Livestock
    • Animal Disease Management and Epidemiology
  • Immunology top 10%
    • Reproductive System and Pregnancy
    • T-cell and Retrovirus Studies

Papers in

    • Reproductive System and Pregnancy 4
    • T-cell and Retrovirus Studies 3
    • Reproductive Physiology in Livestock 4
    • Animal Disease Management and Epidemiology 3

P. V. Malathy

11 papers receiving 498 citations

Peers

P. V. Malathy
Comparison fields: 5 of 54
  • Agronomy and Crop Science 294
  • Immunology 337
  • Obstetrics and Gynecology 44
  • Reproductive Medicine 44
  • Genetics 112
Replace A.P.F. Flint with:
A.P.F. Flint United Kingdom
M. Glaucia Teixeira United States
Corinne Giraud‐Delville France
Yoshito Aoyagi Japan
M. Reichenbach Germany
David R.J. Bainbridge United Kingdom
Atsushi Ideta Japan
Rulan Bai Japan
Gillian B. Dealtry United Kingdom
Martyn Donnison New Zealand
P. V. Malathy relative to A.P.F. Flint United Kingdom A.P.F. Flint's profile →
Citations per field
00.5×1.5×2.4×
A.P.F. Flint · 1×
Citations per year

Countries citing papers authored by P. V. Malathy

Since Specialization
Citations

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

Fields of papers citing papers by P. V. Malathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside P. V. Malathy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. V. Malathy Line = papers co-authored together P. V. Malathy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1989141
2 1989109
3 198969
4 198649
5 199035
6 198831
7 198923
8 198918
9 198714
10 199012
11 19856

About P. V. Malathy

P. V. Malathy is a scholar working on Immunology, Agronomy and Crop Science, Molecular Biology, Genetics and Reproductive Medicine, having authored 11 papers that have together received 507 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (4 papers), Reproductive Physiology in Livestock (4 papers), T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (3 papers), Estrogen and related hormone effects (2 papers), Endometriosis Research and Treatment (2 papers), Animal Genetics and Reproduction (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Agronomy and Crop Science (294 citations), Immunology (337 citations), Obstetrics and Gynecology (44 citations), Reproductive Medicine (44 citations) and Genetics (112 citations). P. V. Malathy has collaborated with scholars based in United States, Myanmar and India. Frequent co-authors include R. Michael Roberts, Kazuhiko Imakawa, Thomas Hansen, Mohammad Kazemi, Russell V. Anthony, Keith R. Marotti, Sudhansu K. Dey, D. H. Keisler, Yoshimi Niwano and Rosalia C. M. Simmen. Their work appears in journals such as Molecular Endocrinology, Prostaglandins, Journal of Animal Science, Journal of Biosciences and Journal of Biological Chemistry.

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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