Conghui Wang

541 citations
22 papers · 423 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Extracellular vesicles in disease 4
    • RNA modifications and cancer 3
    • Complement system in diseases 2

Conghui Wang

20 papers receiving 420 citations

Peers

Conghui Wang
Comparison fields: 5 of 81
  • Cancer Research 119
  • Immunology 83
  • Pathology and Forensic Medicine 59
  • Molecular Biology 221
  • Hematology 31
Replace Vanessa Morales-Tirado with:
Vanessa Morales-Tirado United States
Rashi Kalra India
Marta Brewińska‐Olchowik Poland
Catherine McCaig United Kingdom
Rolanda Bailey United States
Chong Zeng China
Mario A. Economou Sweden
Gareth W. Fearnley United Kingdom
Shu Jia China
Zhenhai Fan China
Conghui Wang relative to Vanessa Morales-Tirado United States Vanessa Morales-Tirado's profile →
Citations per field
00.5×1.5×2.1×
Vanessa Morales-Tirado · 1×
Citations per year

Countries citing papers authored by Conghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Conghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 202143
3 202142
4 201835
5 201232
6 202031
7 202130
8 201226
9 201626
10 201221
11 201316
12 201913
13 201311
14 202311
15 20218
16 20207
17 20206
18 20164
19 20213
20 20241

About Conghui Wang

Conghui Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 22 papers that have together received 423 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Extracellular vesicles in disease (4 papers), Platelet Disorders and Treatments (3 papers), RNA modifications and cancer (3 papers), Multiple Sclerosis Research Studies (3 papers), Complement system in diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (119 citations), Immunology (83 citations), Pathology and Forensic Medicine (59 citations), Molecular Biology (221 citations) and Hematology (31 citations). Conghui Wang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Xing Xie, Weiguo Lü, Jiaying Wang, Wei Qiu, Kai Wang, Xueqiang Hu, Xiaodong Cheng, Honghao Wang, Xinyu Wang and Lili Xia. Their work appears in journals such as Forests, European Journal of Medical Genetics, Blood Advances, Advanced Science and Journal of Ovarian Research.

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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