PS Shah

1.3k citations
40 papers · 869 · h-index 14

Impact in

Papers in

PS Shah

36 papers receiving 811 citations

Peers

PS Shah
Comparison fields: 5 of 99
  • Pediatrics, Perinatology and Child Health 343
  • Obstetrics and Gynecology 107
  • Emergency Medicine 54
  • Pulmonary and Respiratory Medicine 183
  • Endocrine and Autonomic Systems 37
Replace Eugenia K. Pallotto with:
Eugenia K. Pallotto United States
Munish Gupta United States
Eugene W. Yoon Canada
Sergio Konichezky Israel
David L. Schutzman United States
Genny Raffaeli Italy
José M Ceriani Cernadas Argentina
Francesco Maria Risso Italy
Jayanta Banerjee United Kingdom
Margaret Pendray Canada
PS Shah relative to Eugenia K. Pallotto United States Eugenia K. Pallotto's profile →
Citations per field
00.5×1.5×
Eugenia K. Pallotto · 1×
Citations per year

Countries citing papers authored by PS Shah

Since Specialization
Citations

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

Fields of papers citing papers by PS Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004241
2 2009117
3 1996117
4 201768
5 200744
6 201735
7
Evaluation of the home-based maternal record: a WHO collaborative study.
199335
8 200328
9 200521
10 200317
11 200315
12 200515
13 201714
14 201314
15 200113
16 200213
17 200511
18 198410
19 19947
20 19905

About PS Shah

PS Shah is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Surgery, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 40 papers that have together received 869 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (9 papers), Neonatal and fetal brain pathology (4 papers), Infant Development and Preterm Care (4 papers), Infant Nutrition and Health (3 papers), Neuroscience of respiration and sleep (3 papers), Respiratory Support and Mechanisms (2 papers), Preterm Birth and Chorioamnionitis (2 papers) and Infant Health and Development (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (343 citations), Obstetrics and Gynecology (107 citations), Emergency Medicine (54 citations), Pulmonary and Respiratory Medicine (183 citations) and Endocrine and Autonomic Systems (37 citations). PS Shah has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include J Zao, Alan Kelly, John Kevany, Mercedes de Onís, Arne Ohlsson, Vibhuti Shah, SH Zlotkin, Dan Turner, Kiran Shah and B. J. Selwyn. Their work appears in journals such as Cochrane Database of Systematic Reviews, BJOG An International Journal of Obstetrics & Gynaecology, Acta Paediatrica, Paediatrics & Child Health and Nephrology Dialysis Transplantation.

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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