Bin Hong

3.0k citations
112 papers · 2.4k indexed · h-index 26

Impact in

Papers in

    • Genomics and Phylogenetic Studies 16
    • Peroxisome Proliferator-Activated Receptors 12
    • Chemical Synthesis and Analysis 7
    • Microbial Natural Products and Biosynthesis 35

Bin Hong

110 papers receiving 2.4k citations

Peers

Bin Hong
Comparison fields: 5 of 130
  • Atmospheric Science 437
  • Pharmacology 380
  • Cancer Research 289
  • Biotechnology 145
  • Molecular Biology 1.1k
Replace Xiao Fang with:
Xiao Fang China
Theodore Chase United States
Jeanette H. Andersen Norway
John K. Reed United States
James McCullagh United Kingdom
L. John Goad United Kingdom
Elisabeth Helmke Germany
Jianhua Ju China
Douglas A. Mitchell United States
Liqin Wu China
Bin Hong relative to Xiao Fang China Xiao Fang's profile →
Citations per field
00.5×6.6×
Xiao Fang · 1×
Citations per year

Countries citing papers authored by Bin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001185
2 2013136
3 2019133
4 2021113
5 2019113
6 200978
7 201269
8 201266
9 201062
10 201559
11 201556
12 201455
13 201953
14 199350
15 201042
16 201839
17 202038
18 200834
19 200632
20 201331

About Bin Hong

Bin Hong is a scholar working on Molecular Biology, Pharmacology, Surgery, Cancer Research and Oncology, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (35 papers), Genomics and Phylogenetic Studies (16 papers), Cholesterol and Lipid Metabolism (12 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Cancer, Lipids, and Metabolism (8 papers), Chemical Synthesis and Analysis (7 papers) and Microbial Metabolism and Applications (6 papers). The work is most often cited by research in Atmospheric Science (437 citations), Pharmacology (380 citations), Cancer Research (289 citations), Biotechnology (145 citations) and Molecular Biology (1.1k citations). Bin Hong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Li Wang, Yu Du, Shuyi Si, Zhibo Jiang, Qinhao Lin, X.T. Leng, Yiguang Hong, Yu Wang, Chunyan Su and Yuan Yang. Their work appears in journals such as Molecules, Atherosclerosis, Expert Opinion on Drug Discovery, SLAS DISCOVERY and Microbial Cell Factories.

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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