Lalit Bajaj

4.1k total citations
90 papers, 2.7k citations indexed

About

Lalit Bajaj is a scholar working on Emergency Medicine, Epidemiology and Surgery. According to data from OpenAlex, Lalit Bajaj has authored 90 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Emergency Medicine, 28 papers in Epidemiology and 16 papers in Surgery. Recurrent topics in Lalit Bajaj's work include Emergency and Acute Care Studies (28 papers), Sepsis Diagnosis and Treatment (14 papers) and Appendicitis Diagnosis and Management (10 papers). Lalit Bajaj is often cited by papers focused on Emergency and Acute Care Studies (28 papers), Sepsis Diagnosis and Treatment (14 papers) and Appendicitis Diagnosis and Management (10 papers). Lalit Bajaj collaborates with scholars based in United States, Canada and United Kingdom. Lalit Bajaj's co-authors include Sara Deakyne, Mark G. Roback, Joe E. Wathen, Joan P. Bothner, Genie Roosevelt, Halden F. Scott, Lina Brou, Robert W. Grundmeier, Evaline A. Alessandrini and Charles G. Macias and has published in prestigious journals such as PEDIATRICS, Journal of Allergy and Clinical Immunology and The Journal of Pediatrics.

In The Last Decade

Lalit Bajaj

86 papers receiving 2.6k citations

Peers

Lalit Bajaj
Comparison fields: 5 of 126
  • Emergency Medicine 958
  • Epidemiology 799
  • Surgery 548
  • Critical Care and Intensive Care Medicine 376
  • General Health Professions 365
Replace Sharon E. Mace with:
Sharon E. Mace United States
Olivier Hügli Switzerland
Anna Holdgate Australia
Carol J. DeFrances United States
James M. Chamberlain United States
Asad E. Patanwala United States
Glenn Arendts Australia
Joanne E. Brady United States
Gerben Keijzers Australia
Phil Alderson United Kingdom
Sharon E. Mace United States View profile →
Citations per field, relative to Lalit Bajaj
Lalit Bajaj · 1×
Citations per year, relative to Lalit Bajaj
Lalit Bajaj · 1×

Countries citing papers authored by Lalit Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalit Bajaj

This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Bajaj. A scholar is included among the top collaborators of Lalit Bajaj 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 Lalit Bajaj. Lalit Bajaj 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 7
3 0
4 1
5 14
6 7
7 28
8 17
9 48
10 7
11 115
12 16
13 46
14 26
15 38
16 77
17 20
18 67
19 106
20 66

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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