Conghua Wang

1.4k citations
46 papers · 1.0k · h-index 16

Impact in

Papers in

Conghua Wang

41 papers receiving 987 citations

Peers

Conghua Wang
Comparison fields: 5 of 116
  • Geriatrics and Gerontology 181
  • Physiology 314
  • Immunology 212
  • Physical Therapy, Sports Therapy and Rehabilitation 36
  • Rheumatology 110
Replace Teresa Małecka‐Massalska with:
Teresa Małecka‐Massalska Poland
Satoru Matsushita Japan
Yandong Liu China
Xiaoyi Hu China
Qian He China
Shin‐ichi Inoue Japan
Pengbin Yin China
Meika A. Fang United States
Yuan Liu China
Jonathan Baker United Kingdom
Conghua Wang relative to Teresa Małecka‐Massalska Poland Teresa Małecka‐Massalska's profile →
Citations per field
00.5×10.1×
Teresa Małecka‐Massalska · 1×
Citations per year

Countries citing papers authored by Conghua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Conghua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011141
2 2019125
3 2018101
4 201896
5 201967
6 201065
7 200962
8 200948
9 200145
10 199235
11 201433
12 201430
13 201325
14 202120
15 201516
16 201815
17 201810
18 20199
19 20228
20 20235

About Conghua Wang

Conghua Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Immunology, Physiology and Geriatrics and Gerontology, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (8 papers), Nutrition and Health in Aging (6 papers), Electrocatalysts for Energy Conversion (5 papers), Fuel Cells and Related Materials (5 papers), Frailty in Older Adults (5 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related Molecular Pathways (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Geriatrics and Gerontology (181 citations), Physiology (314 citations), Immunology (212 citations), Physical Therapy, Sports Therapy and Rehabilitation (36 citations) and Rheumatology (110 citations). Conghua Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ping Zhu, Qingli Dou, Xiaoming Zhang, Yunzhi Yang, Wenwu Zhang, Lina Chen, Xiaohua Xie, Nan Leng, Zhi‐Nan Chen and Junfeng Jia. Their work appears in journals such as Nonlinear Dynamics, Resuscitation, Arthritis Research & Therapy, Journal of Clinical Immunology and IET Systems Biology.

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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