Gang Wang

13.5k citations
225 papers · 10.0k · 2 hit papers · h-index 32

Impact in

Papers in

Gang Wang

216 papers receiving 9.9k citations

Gang Wang's Hit Papers

Ferroptosis: past, present and future 2020 · 3.1k citations
3.1k0+4+8Years since publication10002.0k3.0k

Peers

Gang Wang
Comparison fields: 5 of 189
  • Cancer Research 1.2k
  • Pulmonary and Respiratory Medicine 2.3k
  • Urology 321
  • Infectious Diseases 651
  • Animal Science and Zoology 342
Replace Richard P. Phipps with:
Richard P. Phipps United States
Seung‐Hoon Lee South Korea
Devendra K. Agrawal United States
Shiwen Xu China
Ken Takahashi Japan
Akio Kobayashi Japan
Eun Young Lee South Korea
Yuji Naito Japan
Abraham Nyska Israel
Yan Li China
Gang Wang relative to Richard P. Phipps United States Richard P. Phipps's profile →
Citations per field
00.5×5.3×
Richard P. Phipps · 1×
Citations per year

Countries citing papers authored by Gang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficacy and Safety of Tadalafil Monotherapy for Lower Urinary Tract Symptoms Secondary to Benign Prostatic Hyperplasia: A Meta-Analysis
Hit paper breakdown →
20133486
2
Ferroptosis: past, present and future
Hit paper breakdown →
20203091
3 2020346
4 2013129
5 2009121
6 202199
7 201080
8 200572
9 201765
10 200963
11 201162
12 201459
13 200959
14 201458
15 201258
16 202154
17 200852
18 202250
19 201648
20 201247

About Gang Wang

Gang Wang is a scholar working on Infectious Diseases, Molecular Biology, Plant Science, Genetics and Epidemiology, having authored 225 papers that have together received 10.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), Animal Virus Infections Studies (19 papers), Virus-based gene therapy research (16 papers), Viral gastroenteritis research and epidemiology (16 papers), COVID-19 Clinical Research Studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis B Virus Studies (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pulmonary and Respiratory Medicine (2.3k citations), Urology (321 citations), Infectious Diseases (651 citations) and Animal Science and Zoology (342 citations). Gang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yang Dong, Conghui Han, Zhiguo Zhang, Zhenduo Shi, Jie Li, Feng Cao, Bei Sun, Ning Mao, Zhi Chen and Bo Yang. Their work appears in journals such as Journal of Virology, Journal of Zhejiang University SCIENCE B, Frontiers in Oncology, BioMed Research International and Virology Journal.

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.

Explore authors with similar magnitude of impact