Guo J

2.7k citations
117 papers · 2.2k · h-index 24

Impact in

Papers in

    • Liver physiology and pathology 15
    • Liver Disease and Transplantation 5
    • Hepatitis C virus research 4
    • Liver Disease Diagnosis and Treatment 18
    • Hepatitis B Virus Studies 10

Guo J

105 papers receiving 2.1k citations

Peers

Guo J
Comparison fields: 5 of 135
  • Hepatology 532
  • Complementary and alternative medicine 177
  • Epidemiology 610
  • Pharmacology 140
  • Health, Toxicology and Mutagenesis 131
Replace Yan Lin with:
Yan Lin China
Halina Cichoż‐Lach Poland
Teresa Carbonell Spain
Randle M. Gallucci United States
Antonietta Gerarda Gravina Italy
Chao Sun China
Su Jung Kim South Korea
Songtao Li China
Sisi Yang China
Chang‐Hwan Park South Korea
Guo J relative to Yan Lin China Yan Lin's profile →
Citations per field
00.5×2×2.5×
Yan Lin · 1×
Citations per year

Countries citing papers authored by Guo J

Since Specialization
Citations

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

Fields of papers citing papers by Guo J

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010272
2 2008196
3 2004125
4 2015110
5 2004104
6 2009104
7 2007103
8 200992
9 201080
10 202075
11 199861
12 200353
13 201543
14
A meta-analysis of voxel-based morphometric studies on migraine.
201535
15 200933
16 200533
17 200729
18 200228
19 201827
20 201227

About Guo J

Guo J is a scholar working on Hepatology, Epidemiology, Pharmacology, Pharmacology and Molecular Biology, having authored 117 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), Liver physiology and pathology (15 papers), Hepatitis B Virus Studies (10 papers), Liver Disease and Transplantation (5 papers), Hepatitis C virus research (4 papers), Circular RNAs in diseases (4 papers), Cancer Research and Treatments (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Hepatology (532 citations), Complementary and alternative medicine (177 citations), Epidemiology (610 citations), Pharmacology (140 citations) and Health, Toxicology and Mutagenesis (131 citations). Guo J has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Scott L. Friedman, Marcel W.L. Koo, John Moon Luk, Jiyao Wang, John J. Sninsky, Qinghua Sun, Ronald E. Gordon, Jorge Allina, Joseph A. Odin and Hui‐Hui Tan. Their work appears in journals such as Life Sciences, Scandinavian Journal of Gastroenterology, World Journal of Gastroenterology, Current Pharmaceutical Design and BMC Public Health.

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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