Phuc Le

1.4k citations
59 papers · 829 · 1 hit paper · h-index 17

Impact in

Papers in

Phuc Le

55 papers receiving 811 citations

Phuc Le's Hit Papers

Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050 2025 · 82 citations
820Years since publication255075

Peers

Phuc Le
Comparison fields: 5 of 93
  • Epidemiology 428
  • Endocrinology, Diabetes and Metabolism 151
  • Hepatology 59
  • Parasitology 38
  • Family Practice 9
Replace A. Neiß with:
A. Neiß Germany
Mohammad Taghi Rezayati Iran
Otchere Addai‐Mensah Ghana
Richa Dewan India
Lotfollah Davoodi Iran
Elichilia R. Shao Tanzania
José Ignacio Bernardino Spain
Eugènia Mariné–Barjoan France
Kenan Dolapçıoğlu Türkiye
Kaplan Je United States
Phuc Le relative to A. Neiß Germany A. Neiß's profile →
Citations per field
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A. Neiß · 1×
Citations per year

Countries citing papers authored by Phuc Le

Since Specialization
Citations

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

Fields of papers citing papers by Phuc Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050
Hit paper breakdown →
202582
2 201964
3 202058
4 202350
5 201849
6 202246
7 201539
8 202431
9 201730
10 202230
11 201826
12 201825
13 201424
14 202323
15 201720
16 202416
17 201816
18 201615
19 201814
20 202512

About Phuc Le

Phuc Le is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Pharmacology, Microbiology and Hepatology, having authored 59 papers that have together received 829 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Herpesvirus Infections and Treatments (8 papers), Diabetes Treatment and Management (5 papers), Bacterial Infections and Vaccines (3 papers), Diabetes Management and Research (2 papers), Bartonella species infections research (2 papers), Substance Abuse Treatment and Outcomes (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Epidemiology (428 citations), Endocrinology, Diabetes and Metabolism (151 citations), Hepatology (59 citations), Parasitology (38 citations) and Family Practice (9 citations). Phuc Le has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Michael B. Rothberg, Naim Alkhouri, William H. Herman, Abhishek Deshpande, Hamlet Gasoyan, Elizabeth R. Pfoh, Wen Ye, Srinivasan Dasarathy, Anita D. Misra‐Hebert and Alexander Chaitoff. Their work appears in journals such as Diabetes Obesity and Metabolism, Journal of General Internal Medicine, Obesity, JAMA Network Open and JAMA 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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