Lee F. Peng

3.4k citations
30 papers · 2.3k indexed · h-index 22
  • Hepatology top 1%
    • Hepatitis C virus research 20
  • Virology top 5%
    • Liver Disease Diagnosis and Treatment 9
    • Hepatitis B Virus Studies 7
    • Hedgehog Signaling Pathway Studies 4
  • Immunology top 10%
    • interferon and immune responses 6
    • Cytokine Signaling Pathways and Interactions 5
    • Endoplasmic Reticulum Stress and Disease 3
    • Genomic variations and chromosomal abnormalities 2

Lee F. Peng

30 papers receiving 2.3k citations

Peers

Lee F. Peng
Comparison fields: 5 of 100
  • Hepatology 834
  • Virology 132
  • Epidemiology 708
  • Molecular Biology 1.1k
  • Immunology 335
Replace Hidekazu Nakabayashi with:
Hidekazu Nakabayashi Japan
Keng‐Hsin Lan Taiwan
Shilpa Chokshi United Kingdom
Marie Annick Buendia France
Laura Runkel United States
Seng‐Lai Tan United States
Pamela A. Norton United States
Keiko Miyano Japan
Joachim Lupberger France
Gessica Filocamo Italy
Lee F. Peng relative to Hidekazu Nakabayashi Japan Hidekazu Nakabayashi's profile →
Citations per field
00.5×3.4×
Hidekazu Nakabayashi · 1×
Citations per year

Countries citing papers authored by Lee F. Peng

Since Specialization
Citations

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

Fields of papers citing papers by Lee F. Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee F. Peng. 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 Lee F. Peng. The network helps show where Lee F. Peng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 20211
3 201658
4 20165
5 201421
6 20133
7 201389
8 201330
9 201220
10 201268
11 201111
12 201150
13 201044
14 2010112
15 2009164
16 2009367
17 200957
18 2009340
19 2008116
20 200670

About Lee F. Peng

Lee F. Peng is a scholar working on Hepatology, Epidemiology and Immunology, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (7 papers), interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Hepatology (834 citations), Virology (132 citations) and Epidemiology (708 citations). Lee F. Peng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Benjamin Z. Stanton, Raymond T. Chung, Wenyu Lin, Stuart L. Schreiber, Andrew W. Tai, Naoya Sakamoto, Leiliang Zhang, Raymond T. Chung, Ramnik J. Xavier and Yair Benita. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Gastroenterology.

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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