Li H. Gu

32 papers receiving 1.3k citations

Peers

Li H. Gu
Comparison fields: 5 of 96
  • Biochemistry 218
  • Nutrition and Dietetics 365
  • Gastroenterology 118
  • Endocrine and Autonomic Systems 75
  • Physiology 265
Replace R. G. Knickelbein with:
R. G. Knickelbein United States
J. W. Dobbins United States
Mohib Uddin Sweden
Raúl A. Marinelli Argentina
G. Webb McKnight Canada
Marc S. Levin United States
Sangeeta Tyagi United States
Roslyn M. London United States
A Cole United Kingdom
Yuko Akazawa Japan
Li H. Gu relative to R. G. Knickelbein United States R. G. Knickelbein's profile →
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Citations per year

Countries citing papers authored by Li H. Gu

Since Specialization
Citations

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

Fields of papers citing papers by Li H. Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li H. Gu. 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 Li H. Gu. The network helps show where Li H. Gu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002188
2 2002143
3 2004133
4 200487
5 200664
6 200762
7 200357
8 200456
9 200753
10 199950
11 199747
12 200347
13 200346
14 200644
15 200141
16
Low dose pirfenidone suppresses transforming growth factor beta-1 and tissue inhibitor of metalloproteinase-1, and protects rats from lung fibrosis induced by bleomycina.
200630
17 200127
18 199826
19 200226
20 200018

About Li H. Gu

Li H. Gu is a scholar working on Molecular Biology, Nutrition and Dietetics, Biochemistry, Physiology and Epidemiology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (8 papers), Sulfur Compounds in Biology (8 papers), Redox biology and oxidative stress (4 papers), Diet and metabolism studies (4 papers), Fibroblast Growth Factor Research (4 papers), Nutrition and Health in Aging (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Biochemistry (218 citations), Nutrition and Dietetics (365 citations), Gastroenterology (118 citations), Endocrine and Autonomic Systems (75 citations) and Physiology (265 citations). Li H. Gu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas R. Ziegler, Dean P. Jones, Walter H. Watson, Concepción Fernández‐Estívariz, Lorraine M. Leader, Carolyn R. Jonas, Timothy M. Wallace, Shanthi V. Sitaraman, Robert Pascal and Andrew T. Gewirtz. Their work appears in journals such as Journal of Parenteral and Enteral Nutrition, Journal of Nutrition, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology 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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