Cong Huang

6.5k citations
160 papers · 4.5k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Cong Huang

151 papers receiving 4.5k citations

Hit Papers

The Association Between the Gut Microbiota and Parkinson's Disease, a Meta-Analysis 2021 · 172 citations
1720+1+3Years since publication50100150

Peers

Cong Huang
Comparison fields: 5 of 169
  • Molecular Medicine 206
  • Cognitive Neuroscience 786
  • Biological Psychiatry 79
  • Cancer Research 426
  • Endocrinology 116
Replace Yao‐Chung Chuang with:
Yao‐Chung Chuang Taiwan
Jing Tao China
Michele Navarra Italy
Feng He United States
Yongxiang Wang China
Tomasz Brzozowski Poland
Manuel Guzmán Spain
Shin‐Da Lee Taiwan
Sheng Bi China
Yan Zhang China
Cong Huang relative to Yao‐Chung Chuang Taiwan Yao‐Chung Chuang's profile →
Citations per field
00.5×6.5×
Yao‐Chung Chuang · 1×
Citations per year

Countries citing papers authored by Cong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006468
2 2014174
3
The Association Between the Gut Microbiota and Parkinson's Disease, a Meta-Analysis
Hit paper breakdown →
2021172
4 2006164
5 2007144
6 2017138
7 2017136
8 2008135
9 201991
10 201681
11 201680
12 201677
13 201776
14 201574
15 200672
16 201762
17 201960
18 201458
19 201956
20 201555

About Cong Huang

Cong Huang is a scholar working on Molecular Biology, Physiology, Public Health, Environmental and Occupational Health, Plant Science and Cardiology and Cardiovascular Medicine, having authored 160 papers that have together received 4.5k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (12 papers), Obesity, Physical Activity, Diet (10 papers), MicroRNA in disease regulation (10 papers), Nutrition and Health in Aging (9 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Physical Activity and Health (7 papers), Diet and metabolism studies (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Molecular Medicine (206 citations), Cognitive Neuroscience (786 citations), Biological Psychiatry (79 citations), Cancer Research (426 citations) and Endocrinology (116 citations). Cong Huang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chiang‐Shan R. Li, Rajita Sinha, R. Todd Constable, Chunfeng Xie, Caiyun Zhong, Shanshan Geng, Ryoichi Nagatomi, Haruki Momma, Jieshu Wu and Mingming Zhu. Their work appears in journals such as PLoS ONE, Journal of Epidemiology, Phytotherapy Research, Nutrition Metabolism and Cardiovascular Diseases and Meat Science.

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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