Feng‐Bin Lu

940 citations
13 papers · 770 · h-index 11

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

Feng‐Bin Lu

12 papers receiving 758 citations

Peers

Feng‐Bin Lu
Comparison fields: 5 of 78
  • Hepatology 138
  • Epidemiology 327
  • Cancer Research 138
  • Endocrinology, Diabetes and Metabolism 116
  • Molecular Biology 285
Replace En-De Hu with:
En-De Hu China
M.A. Sardo Italy
Ashraf I. Amin Egypt
Jesus Javier Garcia-Bañuelos Mexico
Daniel Jahn Germany
Xiao Hu China
Theerut Luangmonkong Thailand
Ghassan M. Hammoud United States
Urszula Osinska Warncke United States
Feng‐Bin Lu relative to En-De Hu China En-De Hu's profile →
Citations per field
00.5×1.5×2×
En-De Hu · 1×
Citations per year

Countries citing papers authored by Feng‐Bin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Bin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Bin Lu. 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 Feng‐Bin Lu. The network helps show where Feng‐Bin Lu may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2017200
2 2018119
3 202094
4 201883
5 201880
6 201962
7 201734
8 202426
9 201824
10 202021
11
[Effect of lycopene on oxidative stress and behavioral deficits in rotenone induced model of Parkinson's disease].
201320
12 20187
13 20250

About Feng‐Bin Lu

Feng‐Bin Lu is a scholar working on Hepatology, Epidemiology, Pharmacology, Cancer Research and Rheumatology, having authored 13 papers that have together received 770 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Liver Diseases and Immunity (3 papers), Extracellular vesicles in disease (2 papers), Diet, Metabolism, and Disease (1 paper), Circular RNAs in diseases (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Coffee research and impacts (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Hepatology (138 citations), Epidemiology (327 citations), Cancer Research (138 citations), Endocrinology, Diabetes and Metabolism (116 citations) and Molecular Biology (285 citations). Feng‐Bin Lu has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Lanman Xu, En-De Hu, Ming‐Hua Zheng, Da‐Zhi Chen, Jinlu Wu, Yongping Chen, Yong‐Ping Chen, Zhuo Lin, Xiaoya Jin and Yuewen Gong. Their work appears in journals such as Hepatology International, Molecular Immunology, BMC Medical Genomics, European Journal of Gastroenterology & Hepatology and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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