Pengju Wang

67 papers receiving 1.2k citations

Pengju Wang's Hit Papers

A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axis 2024 · 48 citations
480+1+2Years since publication50100150200

Peers

Pengju Wang
Comparison fields: 5 of 122
  • Pathology and Forensic Medicine 207
  • Oncology 275
  • Genetics 232
  • Biotechnology 70
  • Cardiology and Cardiovascular Medicine 152
Replace Xiaoyuan Ma with:
Xiaoyuan Ma China
Rafael Valdés‐Mas Spain
Xing Cheng China
Yasuhiro Fujino Japan
Janette Furuzawa‐Carballeda Mexico
Hiroaki Kohno Japan
Sylvia L. F. Pender United Kingdom
Ming Zhong China
YJ Kim South Korea
Dana Gaddy United States
Pengju Wang relative to Xiaoyuan Ma China Xiaoyuan Ma's profile →
Citations per field
00.5×3.6×
Xiaoyuan Ma · 1×
Citations per year

Countries citing papers authored by Pengju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spinal Cord Injury: The Global Incidence, Prevalence, and Disability From the Global Burden of Disease Study 2019
Hit paper breakdown →
2022235
2 2017141
3 201676
4 201559
5
A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axis
Hit paper breakdown →
202448
6 201941
7 202139
8 202036
9 201633
10 201033
11 200926
12 201926
13 202324
14 202421
15 202420
16 201620
17 200918
18 201518
19 202018
20 202216

About Pengju Wang

Pengju Wang is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CAR-T cell therapy research (8 papers), Acute Myocardial Infarction Research (7 papers), Asthma and respiratory diseases (5 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (207 citations), Oncology (275 citations), Genetics (232 citations), Biotechnology (70 citations) and Cardiology and Cardiovascular Medicine (152 citations). Pengju Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Feng Li, Yimin Dong, Shian Hu, Renpeng Peng, Honglei Kang, Weizhong Ding, Yaohe Wang, Shengdian Wang, Nicholas R. Lemoine and Xiaozhu Li. Their work appears in journals such as Frontiers in Immunology, Journal of Visualized Experiments, Frontiers in Neurology, Oncotarget and Cardiovascular Diabetology.

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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