Bin Geng

120 papers receiving 7.5k citations

Hit Papers

Gut microbiota dysbiosis contributes to the development of hypertension 2017 · 1.2k citations
1.2k20132026201720214008001.2k

Peers

Bin Geng
Comparison fields: 5 of 147
  • Biochemistry 2.5k
  • Endocrine and Autonomic Systems 780
  • Cancer Research 1.5k
  • Physiology 2.1k
  • Molecular Biology 3.7k
Replace Philippe Lefèbvre with:
Philippe Lefèbvre France
Michael J. Jurczak United States
Sander M. Houten Netherlands
Basilia Zingarelli United States
Christopher Liddle Australia
Timothy D. Warner United Kingdom
Amrita Ahluwalia United Kingdom
Brian N. Finck United States
Patrick C.N. Rensen Netherlands
Madhav Bhatia Singapore
Bin Geng relative to Philippe Lefèbvre France Philippe Lefèbvre's profile →
Citations per field
00.5×4.9×
Philippe Lefèbvre · 1×
Citations per year

Countries citing papers authored by Bin Geng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gut microbiota dysbiosis contributes to the development of hypertension
Hit paper breakdown →
20171223
2
HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Hit paper breakdown →
2013969
3 2004343
4 2014314
5 2003305
6 2018276
7 2005211
8 2008185
9 2007168
10 2004144
11 2009127
12 2008127
13 2018121
14 2008120
15 2012110
16 2009106
17 2005101
18 200796
19 201087
20 201687

About Bin Geng

Bin Geng is a scholar working on Biochemistry, Endocrine and Autonomic Systems, Physiology, Cancer Research and Molecular Biology, having authored 127 papers that have together received 7.6k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (46 papers), Adipose Tissue and Metabolism (15 papers), Neuroscience of respiration and sleep (11 papers), Lipid metabolism and biosynthesis (10 papers), Cancer-related molecular mechanisms research (10 papers), Obstructive Sleep Apnea Research (9 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Biochemistry (2.5k citations), Endocrine and Autonomic Systems (780 citations), Cancer Research (1.5k citations), Physiology (2.1k citations) and Molecular Biology (3.7k citations). Bin Geng has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Qinghua Cui, Jichun Yang, Chaoshu Tang, Junbao Du, Jing Zhao, Chaoshu Tang, Jun Cai, Jian Tu, Yang Li and Tianzi Jiang. Their work appears in journals such as PLoS ONE, Journal of Cellular and Molecular Medicine, Scientific Reports, Biochemical and Biophysical Research Communications and Oncotarget.

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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