Amit Rawat

6.5k total citations · 1 hit paper
268 papers, 3.7k citations indexed

About

Amit Rawat is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Amit Rawat has authored 268 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Immunology, 49 papers in Pulmonary and Respiratory Medicine and 48 papers in Surgery. Recurrent topics in Amit Rawat's work include Immunodeficiency and Autoimmune Disorders (55 papers), Kawasaki Disease and Coronary Complications (34 papers) and Coronary Artery Anomalies (25 papers). Amit Rawat is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (55 papers), Kawasaki Disease and Coronary Complications (34 papers) and Coronary Artery Anomalies (25 papers). Amit Rawat collaborates with scholars based in India, United States and Japan. Amit Rawat's co-authors include Surjit Singh, Fakhrul Ahsan, Suresh P. Vyas, Sunil Mahor, Deepti Suri, Pandiarajan Vignesh, Prem N. Gupta, Ankur Kumar Jindal, Praveen Kumar Dubey and Chandan Thomas and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Amit Rawat

246 papers receiving 3.6k citations

Hit Papers

A review on climate change impacts, models, and its conse... 2023 2026 2024 2025 2023 20 40 60

Peers

Amit Rawat
Comparison fields: 5 of 160
  • Immunology 1.1k
  • Molecular Biology 848
  • Pulmonary and Respiratory Medicine 698
  • Pharmaceutical Science 651
  • Surgery 599
Replace Giuseppina Campisi with:
Giuseppina Campisi Italy
Markus P. Radsak Germany
Carsten Schmidt Germany
H. Löffler Germany
Peter Fritsch Austria
Yasuo Yoshioka Japan
David M. Pariser United States
Milan Raška Czechia
Bryan S. Michalowicz United States
Taina Tervahartiala Finland
Giuseppina Campisi Italy View profile →
Citations per field, relative to Amit Rawat
Amit Rawat · 1×
Citations per year, relative to Amit Rawat
Amit Rawat · 1×

Countries citing papers authored by Amit Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Amit Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Rawat. A scholar is included among the top collaborators of Amit Rawat 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 Amit Rawat. Amit Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 1
5 17
6 5
7 1
8 7
9 3
10 2
11 14
12 3
13 2
14 1
15 11
16
COVID – 19: Influenced alteration in dental OPD management
1
17 3
18 11
19
Infliximab is the new kid on the block in Kawasaki disease: a single-centre study over 8 years from North India.
15
20 3

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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