Ravi Goyal

1.5k citations
33 papers · 1.1k · h-index 16

Impact in

Papers in

Ravi Goyal

32 papers receiving 1.0k citations

Peers

Ravi Goyal
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 344
  • Pediatrics, Perinatology and Child Health 521
  • Endocrine and Autonomic Systems 51
  • Endocrinology, Diabetes and Metabolism 91
  • Physiology 131
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Xing Yu United States
Jayanth Ramadoss United States
April M. Teague United States
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Corneliu N. Craciunescu United States
Mary J. Berry New Zealand
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Amrita Kamat United States
Koichi Shinohara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ravi Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019168
2 2018144
3 2009131
4 2009117
5 200874
6 200948
7 201048
8 201540
9 201227
10 200925
11 201925
12 201022
13 201121
14 201520
15 200818
16 201318
17 201215
18 201314
19 201913
20 198711

About Ravi Goyal

Ravi Goyal is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (15 papers), Birth, Development, and Health (15 papers), Gestational Diabetes Research and Management (5 papers), Neonatal Respiratory Health Research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (344 citations), Pediatrics, Perinatology and Child Health (521 citations), Endocrine and Autonomic Systems (51 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Physiology (131 citations). Ravi Goyal has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Lawrence D. Longo, Dipali Goyal, Ciprian P. Gheorghe, Sean W. Limesand, Ashwani Mittal, Li Zhang, Sean M. Wilson, William J. Pearce, Xiang‐Qun Hu and L. D. Longo. Their work appears in journals such as Frontiers in Physiology, The FASEB Journal, PLoS ONE, American Journal of Physiology-Endocrinology and Metabolism and Reproductive Sciences.

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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