Johnson Chen

27 papers receiving 518 citations

Peers

Johnson Chen
Comparison fields: 5 of 90
  • Genetics 61
  • Neurology 63
  • Orthopedics and Sports Medicine 33
  • Radiology, Nuclear Medicine and Imaging 86
  • Pulmonary and Respiratory Medicine 92
Replace Vitaly Terushkin with:
Vitaly Terushkin United States
Galal Elsayed United States
Quan Xu China
Katharina Schregel Germany
Alexander Pichler Austria
Ling Zhu China
Armelle Magot France
Zachary A. Medress United States
Chih‐Chin Heather Hsu Taiwan
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Citations per year

Countries citing papers authored by Johnson Chen

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201856
3 200655
4 200850
5 200948
6 202145
7 201928
8 201327
9 202021
10 201320
11 200619
12 201816
13 200416
14 202115
15 201711
16 20049
17
Proceedings of the Inaugural International Conference on Music Communication Science
20078
18
Making a thinking-talking head
20077
19 20245
20 20235

About Johnson Chen

Johnson Chen is a scholar working on Surgery, Neurology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 526 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (4 papers), Ultrasound Imaging and Elastography (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cerebral Palsy and Movement Disorders (3 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Liver Disease and Transplantation (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Genetics (61 citations), Neurology (63 citations), Orthopedics and Sports Medicine (33 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Pulmonary and Respiratory Medicine (92 citations). Johnson Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jing Gao, Michael W. O’Dell, Wen He, Jonathan M. Rubin, Robert L. Fine, Pai‐Chi Li, Michael B. Sisti, Casilda Balmaceda, Robert J. Min and Catherine Stevens. Their work appears in journals such as Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Clinical Cancer Research, Journal of Neuro-Oncology and Surgical Oncology Clinics of North America.

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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