Padma Murthi

4.8k citations
138 papers · 3.6k indexed · h-index 32

Impact in

Papers in

Padma Murthi

134 papers receiving 3.6k citations

Peers

Padma Murthi
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 1.8k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Immunology 801
  • Genetics 375
  • Cancer Research 389
Replace Guillermina Girardi with:
Guillermina Girardi United States
Norio Wake Japan
Kaoru Suzumori Japan
Isabella Caniggia Canada
Nam Keun Kim South Korea
Judith E. Cartwright United Kingdom
Isamu Ishiwata Japan
Joanna L. James New Zealand
Eytan R. Barnea United States
Takahiro Yamada Japan
Padma Murthi relative to Guillermina Girardi United States Guillermina Girardi's profile →
Citations per field
00.5×4.8×
Guillermina Girardi · 1×
Citations per year

Countries citing papers authored by Padma Murthi

Since Specialization
Citations

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

Fields of papers citing papers by Padma Murthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Padma Murthi, 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 Padma Murthi Line = papers co-authored together Padma Murthi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202222
3 202214
4 202115
5 202016
6 201911
7 20194
8 20177
9 201738
10 201539
11 201513
12 201523
13 201413
14 201446
15 201324
16 201321
17 201125
18 200654
19 200632
20 2002111

About Padma Murthi

Padma Murthi is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Cancer Research and Immunology and Allergy, having authored 138 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (96 papers), Birth, Development, and Health (47 papers), Reproductive System and Pregnancy (34 papers), Neonatal Respiratory Health Research (18 papers), Renal and related cancers (13 papers), Prenatal Screening and Diagnostics (11 papers), Congenital Diaphragmatic Hernia Studies (8 papers) and Gestational Diabetes Research and Management (8 papers). The work is most often cited by research in Obstetrics and Gynecology (1.8k citations), Pediatrics, Perinatology and Child Health (1.2k citations), Immunology (801 citations), Genetics (375 citations) and Cancer Research (389 citations). Padma Murthi has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Bill Kalionis, Shaun P. Brennecke, Hannah E. J. Yong, Anthony J. Borg, Maria I. Kokkinos, Ursula Manuelpillai, Vijesh Vaghjiani, Euan M. Wallace, Gayathri Rajaraman and Rosemary J. Keogh. Their work appears in journals such as Placenta, Pregnancy Hypertension, International Journal of Molecular Sciences, Molecular Human Reproduction and Journal of Molecular Medicine.

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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