Wei‐Juin Su

3.4k citations
93 papers · 2.7k · h-index 26

Impact in

  • Pharmacology top 0.2%
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Tuberculosis Research and Epidemiology

Papers in

Wei‐Juin Su

91 papers receiving 2.6k citations

Peers

Wei‐Juin Su
Comparison fields: 5 of 84
  • Pharmacology 644
  • Infectious Diseases 803
  • Epidemiology 189
  • Pulmonary and Respiratory Medicine 143
  • Family Practice 7
Replace Alladi Mohan with:
Alladi Mohan India
Lawrence Peter Ormerod United Kingdom
Narges Alipanah United States
Peter D. O. Davies United Kingdom
Katharine A. Kirby United States
Adam Mikstacki Poland
Pennelope K. Blakely United States
Gordon D. Benson United States
Pinaki Biswas United States
Raymond E Farah Israel
Wei‐Juin Su relative to Alladi Mohan India Alladi Mohan's profile →
Citations per field
00.5×2×3×4.4×
Alladi Mohan · 1×
Citations per year

Countries citing papers authored by Wei‐Juin Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Juin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Juin Su. 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 Wei‐Juin Su. The network helps show where Wei‐Juin Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002363
2 2003347
3 2007185
4 2014122
5 201274
6 201768
7 201665
8 201759
9 201857
10 201152
11 201748
12 201445
13 201041
14 199239
15 201638
16 200436
17 201736
18 202033
19 201132
20 201932

About Wei‐Juin Su

Wei‐Juin Su is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Pharmacology and Physiology, having authored 93 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (47 papers), Mycobacterium research and diagnosis (10 papers), Lung Cancer Treatments and Mutations (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Obstructive Sleep Apnea Research (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Pharmacology (644 citations), Infectious Diseases (803 citations), Epidemiology (189 citations), Pulmonary and Respiratory Medicine (143 citations) and Family Practice (7 citations). Wei‐Juin Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jia‐Yih Feng, Shou‐Dong Lee, Yi‐Shin Huang, Herng‐Der Chern, Full‐Young Chang, Sheng‐Wei Pan, Shi-Chuan Chang, Chi‐Huei Chiang, Vincent Yi‐Fong Su and Yuh‐Min Chen. Their work appears in journals such as CHEST Journal, European Respiratory Journal, PLoS ONE, Clinical Infectious Diseases and Journal of Microbiology Immunology and Infection.

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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