Binhai Cong

21 papers receiving 479 citations

Peers

Binhai Cong
Comparison fields: 5 of 68
  • Behavioral Neuroscience 65
  • Biochemistry 52
  • Cancer Research 75
  • Endocrinology, Diabetes and Metabolism 71
  • Biological Psychiatry 10
Replace Lai Jin with:
Lai Jin China
David Mondaca‐Ruff Chile
Dianne Cohn United States
Yutao Zhan China
Jianzhong Han China
Haruyo Yamashita Japan
Britt‐Marie Iresjö Sweden
Petteri Rinne Finland
Xiaowei Ding China
Kyoichiro Tsuchiya Japan
Binhai Cong relative to Lai Jin China Lai Jin's profile →
Citations per field
00.5×1.7×
Lai Jin · 1×
Citations per year

Countries citing papers authored by Binhai Cong

Since Specialization
Citations

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

Fields of papers citing papers by Binhai Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201361
3 201552
4 200844
5 201140
6 200929
7 201323
8 200922
9 200819
10 201617
11 201217
12 201316
13 201415
14 202113
15 201911
16 20086
17
The roles of microRNA-22 in myocardial infarction.
20175
18 20235
19 20152
20 20252

About Binhai Cong

Binhai Cong is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics, Physiology and Molecular Biology, having authored 23 papers that have together received 487 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Hormonal Regulation and Hypertension (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Adenosine and Purinergic Signaling (3 papers), Estrogen and related hormone effects (2 papers), Peptidase Inhibition and Analysis (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Behavioral Neuroscience (65 citations), Biochemistry (52 citations), Cancer Research (75 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Biological Psychiatry (10 citations). Binhai Cong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin Ni, Xiaoyan Zhu, Jianqiang Lu, Lu Gao, Zhiping Tang, Xiaolu Tang, Long Wang, Qing Yu, Long Wang and Wei Zhao. Their work appears in journals such as Endocrinology, European Journal of Pharmacology, Life Sciences, Reproductive Biology and Endocrinology and Menopause The Journal of The North American Menopause Society.

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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