Munmun Rawat

37 papers receiving 880 citations

Peers

Munmun Rawat
Comparison fields: 5 of 59
  • Emergency Medicine 198
  • Endocrine and Autonomic Systems 101
  • Pulmonary and Respiratory Medicine 445
  • Surgery 272
  • Pediatrics, Perinatology and Child Health 111
Replace Praveen Chandrasekharan with:
Praveen Chandrasekharan United States
Marta Aguar Spain
Mamta Fuloria United States
Jean‐Marie Chrétien France
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María Brugada Spain
Tiffany M. Kelso United States
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Munmun Rawat relative to Praveen Chandrasekharan United States Praveen Chandrasekharan's profile →
Citations per field
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Praveen Chandrasekharan · 1×
Citations per year

Countries citing papers authored by Munmun Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Munmun Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017154
2 2016121
3 201572
4 202051
5 201747
6 201647
7 201835
8 201830
9 201727
10 201424
11 202123
12 202222
13 201722
14 201921
15 202020
16 201820
17 201919
18 201518
19 202014
20 201713

About Munmun Rawat

Munmun Rawat is a scholar working on Pulmonary and Respiratory Medicine, Emergency Medicine, Endocrine and Autonomic Systems, Surgery and Pediatrics, Perinatology and Child Health, having authored 42 papers that have together received 915 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (22 papers), Cardiac Arrest and Resuscitation (16 papers), Neuroscience of respiration and sleep (7 papers), Respiratory Support and Mechanisms (6 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Airway Management and Intubation Techniques (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Infant Development and Preterm Care (2 papers). The work is most often cited by research in Emergency Medicine (198 citations), Endocrine and Autonomic Systems (101 citations), Pulmonary and Respiratory Medicine (445 citations), Surgery (272 citations) and Pediatrics, Perinatology and Child Health (111 citations). Munmun Rawat has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Satyan Lakshminrusimha, Praveen Chandrasekharan, Jayasree Nair, Sylvia F. Gugino, Carmon Koenigsknecht, Bobby Mathew, David H. Rothstein, Payam Vali, Justin Helman and Sara K. Berkelhamer. Their work appears in journals such as Pediatric Research, American Journal of Perinatology, Journal of Visualized Experiments, Neonatology and Children.

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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