Jagpreet Chhatwal

6.8k citations
156 papers · 4.1k indexed · 1 hit paper · h-index 38

Jagpreet Chhatwal

145 papers receiving 4.0k citations

Hit Papers

Prevention of Prescription Opioid Misuse and Projected Ov...205201920262021202350100150200

Peers

Jagpreet Chhatwal
Comparison fields: 5 of 160
  • Hepatology 1.8k
  • Epidemiology 2.3k
  • Otorhinolaryngology 110
  • Pathology and Forensic Medicine 377
  • Health Informatics 25
Replace Paul Landais with:
Paul Landais France
Delphine Maucort‐Boulch France
Jennifer R. Kramer United States
Akbar K. Waljee United States
Herbert Pang United States
Ilana F. Gareen United States
Liang Li United States
Turgay Ayer United States
Christopher M. Booth Canada
Wenhua Liang China
Jagpreet Chhatwal relative to Paul Landais France Paul Landais's profile →
Citations per field
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Paul Landais · 1×
Citations per year

Countries citing papers authored by Jagpreet Chhatwal

Since Specialization
Citations

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

Fields of papers citing papers by Jagpreet Chhatwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20243
5 20241
6 20240
7 202437
8 20249
9 20244
10 202225
11 20217
12 202011
13 202037
14 202010
15 201931
16 201830
17 201816
18 20165
19 20121
20 201090

About Jagpreet Chhatwal

Jagpreet Chhatwal is a scholar working on Hepatology, Epidemiology and Modeling and Simulation, having authored 156 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (58 papers), Liver Disease Diagnosis and Treatment (56 papers), Hepatitis B Virus Studies (26 papers), Liver Disease and Transplantation (15 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Global Cancer Incidence and Screening (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Cervical Cancer and HPV Research (10 papers). The work is most often cited by research in Hepatology (1.8k citations), Epidemiology (2.3k citations) and Otorhinolaryngology (110 citations). Jagpreet Chhatwal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Turgay Ayer, Mark S. Roberts, Fasiha Kanwal, Chin Hur, Qiushi Chen, Elizabeth S. Burnside, Oğuzhan Alagöz, Tianhua He, Michael A. Dunn and Emily D. Bethea. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Annals of Internal Medicine.

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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