Munmun Rawat

1.3k citations
41 papers · 866 · h-index 18

Impact in

Papers in

Munmun Rawat

37 papers receiving 842 citations

Peers

Munmun Rawat
Comparison fields: 5 of 61
  • Emergency Medicine 260
  • Endocrine and Autonomic Systems 151
  • Pulmonary and Respiratory Medicine 594
  • Anesthesiology and Pain Medicine 64
  • Pediatrics, Perinatology and Child Health 182
Replace Praveen Chandrasekharan with:
Praveen Chandrasekharan United States
Prashanth Murthy Canada
Marta Aguar Spain
W. Michael Southgate United States
María Brugada Spain
Mamta Fuloria United States
Peter H. Dijk Netherlands
Marlene Wewalka Austria
Charlotte Palme‐Kilander Sweden
Sophie Vanhaesebrouck Belgium
Munmun Rawat relative to Praveen Chandrasekharan United States Praveen Chandrasekharan's profile →
Citations per field
00.5×1.5×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2016117
3 201562
4 202051
5 201745
6 201644
7 201832
8 201828
9 201727
10 202123
11 201722
12 202221
13 201921
14 201421
15 202020
16 201820
17 201919
18 201517
19 202014
20 201813

About Munmun Rawat

Munmun Rawat is a scholar working on Pulmonary and Respiratory Medicine, Emergency Medicine, Endocrine and Autonomic Systems, Surgery and Anesthesiology and Pain Medicine, having authored 41 papers that have together received 866 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (31 papers), Cardiac Arrest and Resuscitation (26 papers), Neuroscience of respiration and sleep (12 papers), Respiratory Support and Mechanisms (8 papers), Airway Management and Intubation Techniques (7 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Mechanical Circulatory Support Devices (3 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Emergency Medicine (260 citations), Endocrine and Autonomic Systems (151 citations), Pulmonary and Respiratory Medicine (594 citations), Anesthesiology and Pain Medicine (64 citations) and Pediatrics, Perinatology and Child Health (182 citations). Munmun Rawat has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Satyan Lakshminrusimha, Praveen Chandrasekharan, Jayasree Nair, Sylvia F. Gugino, Carmon Koenigsknecht, Bobby Mathew, David H. Rothstein, Payam Vali, Sara K. Berkelhamer and Mark D. Hicar. Their work appears in journals such as Pediatric Research, American Journal of Perinatology, Neonatology, Journal of Visualized Experiments 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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