Dan Jin

47 papers receiving 340 citations

Peers

Dan Jin
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 25
  • Research and Theory 2
  • Neurology 28
  • Nephrology 13
  • Surgery 78
Replace Laurent Roten with:
Laurent Roten Switzerland
B.K. Velthuis Netherlands
Didier Tassaux Switzerland
Cristina Caresio Italy
Du Hwan Kim South Korea
Marcos Leal Brioschi Brazil
Sébastien Verclytte France
Moshe Rav Israel
Vikas Patel United States
Jonathan Kim United States
Dan Jin relative to Laurent Roten Switzerland Laurent Roten's profile →
Citations per field
00.5×2.6×
Laurent Roten · 1×
Citations per year

Countries citing papers authored by Dan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201533
3 198422
4 201722
5 201618
6
In vitro chondrogenesis of the goat bone marrow mesenchymal stem cells directed by chondrocytes in monolayer and 3-dimetional indirect co-culture system.
201118
7 201917
8
Distribution and property of nerve fibers in human long bone tissue.
200716
9 201316
10 202214
11 202113
12 200811
13 202010
14 20199
15 20217
16 20216
17 20206
18
[A prospective randomized trial of poly-DL-lactic acid absorbable and metallic screws for treatment of syndesmotic disruptions].
20105
19 20195
20 20244

About Dan Jin

Dan Jin is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Orthopedics and Sports Medicine and Computer Networks and Communications, having authored 54 papers that have together received 350 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Medical Imaging and Analysis (2 papers), Acute Kidney Injury Research (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (25 citations), Research and Theory (2 citations), Neurology (28 citations), Nephrology (13 citations) and Surgery (78 citations). Dan Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gang Mei, Kong-Han Pan, Jian Zhou, Yongtao Zhang, Fang Qiao, Hui Li, Jianchang Chen, Jian Zhang, Liang Jiang and Guoxian Pei. Their work appears in journals such as Academic Radiology, Journal of Applied Clinical Medical Physics, Renal Failure, Journal of Magnetic Resonance Imaging and Reviews of Geophysics.

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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