Lindsey Wang

1.9k citations
19 papers · 756 indexed · 2 hit papers · h-index 13

Lindsey Wang

19 papers receiving 749 citations

Hit Papers

Association of GLP-1 Receptor Agonists and Hepatocellular...662024202620254080120

Peers

Lindsey Wang
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 230
  • Infectious Diseases 203
  • Biological Psychiatry 18
  • Epidemiology 213
  • Pharmacology 85
Replace Walter Vena with:
Walter Vena Italy
Michele Mantuano Italy
Giovanni Antonio Silverii Italy
Ester Yeoh Singapore
Anica C. Law United States
Lenita Zajdenverg Brazil
Kathleen M. Andersen United States
Arantza Sanvisens Spain
Nicholas J. Thomas United Kingdom
Varvara A. Kirchner United States
Lindsey Wang relative to Walter Vena Italy Walter Vena's profile →
Citations per field
00.5×
Walter Vena · 1×
Citations per year

Countries citing papers authored by Lindsey Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lindsey Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Lindsey Wang, 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 Lindsey Wang Line = papers co-authored together Lindsey Wang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20256
2
Glucagon-Like Peptide 1 Receptor Agonists and 13 Obesity-Associated Cancers in Patients With Type 2 Diabetesbreakdown →
2024122
3
Association of GLP-1 Receptor Agonists and Hepatocellular Carcinoma Incidence and Hepatic Decompensation in Patients With Type 2 Diabetesbreakdown →
202466
4 20244
5 202424
6 202312
7 202319
8 202381
9 202316
10 202244
11 202228
12 20226
13 202212
14 202234
15 202253
16 2022102
17 202135
18 202191
19 20181

About Lindsey Wang

Lindsey Wang is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism and Oncology, having authored 19 papers that have together received 756 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (4 papers), COVID-19 and healthcare impacts (3 papers), Respiratory viral infections research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (230 citations), Infectious Diseases (203 citations) and Biological Psychiatry (18 citations). Lindsey Wang has collaborated with scholars based in United States. Frequent co-authors include Rong Xu, David C. Kaelber, Nathan A. Berger, Pamela B. Davis, Nora D. Volkow, QuanQiu Wang, William Yang Wang, Li Li and William Wang. Their work appears in journals such as JAMA Network Open, Family Medicine and Community Health, Cancers, Alzheimer s & Dementia and JNCI Journal of the National Cancer Institute.

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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