Swu‐Jane Lin

6.4k citations
87 papers · 5.0k indexed · 5 hit papers · h-index 24

Swu‐Jane Lin

80 papers receiving 4.9k citations

Hit Papers

<p>Taiwan’s National H...85320012026200920172505007501000

Peers

Swu‐Jane Lin
Comparison fields: 5 of 173
  • Infectious Diseases 1.2k
  • Medical Terminology 14
  • Geriatrics and Gerontology 200
  • Epidemiology 1.5k
  • Family Practice 83
Replace Martin L. Lee with:
Martin L. Lee United States
Florence Tubach France
Henry S. Sacks United States
Paul D. Stolley United States
Gregory J. Stoddard United States
Jerome R. Hoffman United States
T. Craig Cheetham United States
Reimar W. Thomsen Denmark
Arnav Agarwal Canada
Rishi Desai United States
Swu‐Jane Lin relative to Martin L. Lee United States Martin L. Lee's profile →
Citations per field
00.5×3.2×
Martin L. Lee · 1×
Citations per year

Countries citing papers authored by Swu‐Jane Lin

Since Specialization
Citations

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

Fields of papers citing papers by Swu‐Jane Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swu‐Jane Lin. 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 Swu‐Jane Lin. The network helps show where Swu‐Jane Lin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20240
6 20243
7 20232
8 202318
9
Positive Predictive Value of ICD-10 Codes for Cerebral Venous Sinus Thrombosis in Taiwan&amp;rsquo;s National Health Insurance Claims Database
202215
10 20207
11 201768
12 20154
13 201216
14 2010113
15 20096
16 200843
17 20071
18 200611
19 200513
20 200417

About Swu‐Jane Lin

Swu‐Jane Lin is a scholar working on Geriatrics and Gerontology, Family Practice, Toxicology, Applied Microbiology and Biotechnology and Health Informatics, having authored 87 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (16 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Bone health and treatments (7 papers), Retinal Diseases and Treatments (5 papers), Pharmaceutical studies and practices (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Medical Terminology (14 citations), Geriatrics and Gerontology (200 citations), Epidemiology (1.5k citations) and Family Practice (83 citations). Swu‐Jane Lin has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Yea‐Huei Kao Yang, Steven M. Teutsch, Jennifer Schranz, Ching‐Lan Cheng, Cheng‐Han Lee, Edward Chia‐Cheng Lai, Shih‐Chieh Shao, Cheng‐Yang Hsieh, Chien‐Chou Su and Sheng‐Feng Sung. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Clinical Epidemiology, Current Medical Research and Opinion, American Journal of Pharmaceutical Education and Social Science & Medicine.

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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