Rakshit Panwar

44 total papers · 2.5k total citations
26 papers, 588 citations indexed

About

Rakshit Panwar is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Rakshit Panwar has authored 26 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Epidemiology and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Rakshit Panwar's work include Sepsis Diagnosis and Treatment (10 papers), Respiratory Support and Mechanisms (10 papers) and Cardiac Arrest and Resuscitation (8 papers). Rakshit Panwar is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), Respiratory Support and Mechanisms (10 papers) and Cardiac Arrest and Resuscitation (8 papers). Rakshit Panwar collaborates with scholars based in Australia, New Zealand and United States. Rakshit Panwar's co-authors include Michael Bailey, Rinaldo Bellomo, Paul J. Young, Glenn M. Eastwood, Gilles Capellier, Frank van Haren, John G. Laffey, Fabiana Madotto, Loïc Barrot and M.J. Hardie and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine and Intensive Care Medicine.

In The Last Decade

Rakshit Panwar

24 papers receiving 574 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rakshit Panwar	378	236	234	215	125	26	588
Jérôme Allardet-Servent	244 0.6×	135 0.6×	269 1.1×	133 0.6×	82 0.7×	21	648
Heather Torbic	277 0.7×	150 0.6×	210 0.9×	187 0.9×	195 1.6×	48	660
Leah Peck	240 0.6×	159 0.7×	195 0.8×	212 1.0×	150 1.2×	29	612
Frédérique Bayle	381 1.0×	137 0.6×	113 0.5×	262 1.2×	104 0.8×	20	610
Christian Wunder	249 0.7×	229 1.0×	106 0.5×	139 0.6×	177 1.4×	31	615
Karina Tavares Timenetsky	405 1.1×	183 0.8×	123 0.5×	283 1.3×	116 0.9×	23	633
Chakradhar Venkata	284 0.8×	136 0.6×	301 1.3×	125 0.6×	91 0.7×	19	691
P Gaussorgues	416 1.1×	191 0.8×	154 0.7×	242 1.1×	84 0.7×	24	659
Charles Carpati	179 0.5×	138 0.6×	265 1.1×	158 0.7×	295 2.4×	12	631
Claus Raedler	120 0.3×	422 1.8×	119 0.5×	266 1.2×	180 1.4×	22	634

Countries citing papers authored by Rakshit Panwar

Since Specialization

Citations

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

Fields of papers citing papers by Rakshit Panwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakshit Panwar

This figure shows the co-authorship network connecting the top 25 collaborators of Rakshit Panwar. A scholar is included among the top collaborators of Rakshit Panwar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rakshit Panwar. Rakshit Panwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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