Guohui Wang

1.8k citations
75 papers · 1.4k · h-index 20

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Guohui Wang

70 papers receiving 1.4k citations

Peers

Guohui Wang
Comparison fields: 5 of 110
  • Cell Biology 369
  • Cancer Research 215
  • Molecular Biology 627
  • Epidemiology 279
  • Oncology 208
Replace Gong-Kan Feng with:
Gong-Kan Feng China
Yueh‐Min Lin Taiwan
Hongzhi Sun China
Yi Luo China
Bruna Pucci Italy
Eun Ju Kim South Korea
Youquan Bu China
Nobuo Imazeki Japan
Mustapha Kandouz United States
Kiyomu Fujii Japan
Guohui Wang relative to Gong-Kan Feng China Gong-Kan Feng's profile →
Citations per field
00.5×1.5×1.9×
Gong-Kan Feng · 1×
Citations per year

Countries citing papers authored by Guohui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011292
2
Endoplasmic reticulum stress response in cancer: molecular mechanism and therapeutic potential.
2010127
3 201667
4 202161
5 200654
6 201341
7 201538
8 201535
9 201633
10 201233
11 202032
12 201231
13 201828
14 201626
15 202125
16 201824
17 201923
18 202322
19 201221
20 201620

About Guohui Wang

Guohui Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Ferroptosis and cancer prognosis (7 papers), MicroRNA in disease regulation (6 papers), Head and Neck Cancer Studies (5 papers), Glioma Diagnosis and Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cell Biology (369 citations), Cancer Research (215 citations), Molecular Biology (627 citations), Epidemiology (279 citations) and Oncology (208 citations). Guohui Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kezhong Zhang, Zeng Quan Yang, Lin Chang, Y. Eugene Chen, Roberta Leonardi, Wenbo Xu, Justin Hassler, Sung Hoon Back, Randal J. Kaufman and Hongzhi Miao. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, PeerJ, Cellular Physiology and Biochemistry and 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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