Dan Wen

83 papers receiving 902 citations

Peers

Dan Wen
Comparison fields: 5 of 97
  • Ophthalmology 88
  • Radiology, Nuclear Medicine and Imaging 173
  • Pulmonary and Respiratory Medicine 241
  • Cardiology and Cardiovascular Medicine 121
  • Epidemiology 114
Replace Ji Eun Lee with:
Ji Eun Lee South Korea
Yi Luo China
Tsutomu Hatori Japan
Tokugoro Tsunematsu Japan
Piotr Fichna Poland
V Richter Germany
Xiaoning Li China
Dean P. Hainsworth United States
Prarthana Dalal United States
Lin Cao China
Dan Wen relative to Ji Eun Lee South Korea Ji Eun Lee's profile →
Citations per field
00.5×4.7×
Ji Eun Lee · 1×
Citations per year

Countries citing papers authored by Dan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013111
2 201162
3 201152
4 201242
5
Role of plasma C-reactive protein and white blood cell count in predicting in-hospital clinical events of acute type A aortic dissection.
201137
6 202031
7 201630
8 200428
9 201728
10 202128
11 200624
12 202023
13 202118
14 202118
15 201417
16 202117
17 201916
18 202114
19 201713
20 202112

About Dan Wen

Dan Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology, Ophthalmology and Genetics, having authored 88 papers that have together received 921 indexed citations. Recurring topics across this work include Corneal surgery and disorders (14 papers), Forensic and Genetic Research (9 papers), Glaucoma and retinal disorders (8 papers), Molecular Biology Techniques and Applications (8 papers), Ophthalmology and Visual Impairment Studies (6 papers), Ophthalmology and Eye Disorders (6 papers), Aortic Disease and Treatment Approaches (5 papers) and Corneal Surgery and Treatments (5 papers). The work is most often cited by research in Ophthalmology (88 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Pulmonary and Respiratory Medicine (241 citations), Cardiology and Cardiovascular Medicine (121 citations) and Epidemiology (114 citations). Dan Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xin Du, Xianliang Zhou, Jianzeng Dong, Changsheng Ma, Rutai Hui, Changsheng Ma, Jian‐Jun Li, Weitao Song, Xiaoying Wu and Xiaobo Xia. Their work appears in journals such as International Journal of Legal Medicine, Investigative Ophthalmology & Visual Science, Frontiers in Psychiatry, Forensic Science International Genetics and Frontiers in Genetics.

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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