Weihong Cong

2.2k citations
90 papers · 1.6k · h-index 25

Impact in

Papers in

Weihong Cong

85 papers receiving 1.6k citations

Peers

Weihong Cong
Comparison fields: 5 of 134
  • Complementary and alternative medicine 248
  • Pharmacology 188
  • Neurology 93
  • Biological Psychiatry 28
  • Pharmacology 181
Replace Tingting Kuang with:
Tingting Kuang China
Yun Guo China
Jie Yu China
Minghua Chen China
Sue Francis‐McIntyre United Kingdom
Yanan Yu China
Wenxiang Fan China
Qiaoli Liang China
Juan Fu China
Antony Halsall United Kingdom
Weihong Cong relative to Tingting Kuang China Tingting Kuang's profile →
Citations per field
00.5×11.7×
Tingting Kuang · 1×
Citations per year

Countries citing papers authored by Weihong Cong

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 201980
3 202175
4 201973
5 202370
6 201953
7 202152
8 202150
9 201847
10 202045
11 201444
12 201441
13 201837
14 201835
15 202135
16 201931
17 202330
18 201730
19 201730
20 202229

About Weihong Cong

Weihong Cong is a scholar working on Molecular Biology, Complementary and alternative medicine, Ecology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (9 papers), Ginseng Biological Effects and Applications (6 papers), Microbial Community Ecology and Physiology (6 papers), Alzheimer's disease research and treatments (5 papers), Wildlife Ecology and Conservation (5 papers), Cardiovascular Function and Risk Factors (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Ginkgo biloba and Cashew Applications (5 papers). The work is most often cited by research in Complementary and alternative medicine (248 citations), Pharmacology (188 citations), Neurology (93 citations), Biological Psychiatry (28 citations) and Pharmacology (181 citations). Weihong Cong has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Qiqi Xin, Keji Chen, Rong Yuan, Simon Ming‐Yuen Lee, Yuguang Zhang, Binrui Yang, Zhengzhi Wu, Jianxun Liu, Miao Yu and Yan Wang. Their work appears in journals such as Chinese Journal of Integrative Medicine, Frontiers in Pharmacology, Evidence-based Complementary and Alternative Medicine, Pharmacological Research and Frontiers in Cardiovascular Medicine.

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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