Venkata Padmalatha

733 citations
15 papers · 532 indexed · h-index 9

Venkata Padmalatha

14 papers receiving 504 citations

Peers

Venkata Padmalatha
Comparison fields: 5 of 48
  • Reproductive Medicine 217
  • Public Health, Environmental and Occupational Health 353
  • Genetics 206
  • Obstetrics and Gynecology 39
  • Pediatrics, Perinatology and Child Health 83
Replace Murthy Kanakavalli with:
Murthy Kanakavalli India
Isabelle Koscinski France
S Spanos United Kingdom
Roseanne Rosario United Kingdom
K. Kallianidis Greece
James W. Akin United States
Hridesh Dixit India
Kishlay Kumar India
D. Smotrich United States
Marie Louise Wissing Denmark
Venkata Padmalatha relative to Murthy Kanakavalli India Murthy Kanakavalli's profile →
Citations per field
00.5×1.5×
Murthy Kanakavalli · 1×
Citations per year

Countries citing papers authored by Venkata Padmalatha

Since Specialization
Citations

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

Fields of papers citing papers by Venkata Padmalatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Venkata Padmalatha, 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 Venkata Padmalatha Line = papers co-authored together Venkata Padmalatha links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20150
2 201410
3 20125
4 201047
5 20104
6 201012
7 20084
8 200829
9 20077
10 200623
11 2006180
12 20055
13 2005127
14 200536
15 200443

About Venkata Padmalatha

Venkata Padmalatha is a scholar working on Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 532 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (4 papers), Prenatal Screening and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Reproductive System and Pregnancy (2 papers), Chromosomal and Genetic Variations (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Reproductive Medicine (217 citations), Public Health, Environmental and Occupational Health (353 citations) and Genetics (206 citations). Venkata Padmalatha has collaborated with scholars based in India. Frequent co-authors include Lalji Singh, Murthy Kanakavalli, Mamata Deenadayal, Nalini Gupta, Hridesh Dixit, Lakshmi Rao, Baidyanath Chakravarty, Pratibha Nallari, Arvind Babu and Satya K. Kota. Their work appears in journals such as Reproductive BioMedicine Online, Chromosoma, Menopause The Journal of The North American Menopause Society, Human Genetics and Archives of Gynecology and Obstetrics.

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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