Wei‐Juin Su

3.4k citations
100 papers · 2.5k · h-index 25

Impact in

  • Pharmacology top 0.5%
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Tuberculosis Research and Epidemiology

Papers in

    • Tuberculosis Research and Epidemiology 40
    • Infectious Diseases and Tuberculosis 12
    • Diagnosis and treatment of tuberculosis 11

Wei‐Juin Su

95 papers receiving 2.4k citations

Peers

Wei‐Juin Su
Comparison fields: 5 of 119
  • Pharmacology 616
  • Infectious Diseases 830
  • Epidemiology 565
  • Oncology 301
  • Hepatology 76
Replace John Bernardo with:
John Bernardo United States
Robert M. Jasmer United States
Mario Regazzi Italy
Ronen Loebstein Israel
Wing-Wai Yew China
Bharat Damle United States
Pamala A. Jacobson United States
Corinne Isnard Bagnis France
Wei‐Juin Su relative to John Bernardo United States John Bernardo's profile →
Citations per field
00.5×3.1×
John Bernardo · 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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002323
2 2003312
3 2007162
4 2014117
5 201266
6 201762
7 201657
8 201755
9 201855
10 201150
11 201744
12 201441
13 201040
14 199239
15 201638
16 200434
17 201132
18 201531
19 200531
20 202031

About Wei‐Juin Su

Wei‐Juin Su is a scholar working on Infectious Diseases, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (15 papers), Infectious Diseases and Tuberculosis (12 papers), Diagnosis and treatment of tuberculosis (11 papers), Lung Cancer Treatments and Mutations (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). The work is most often cited by research in Pharmacology (616 citations), Infectious Diseases (830 citations), Epidemiology (565 citations), Oncology (301 citations) and Hepatology (76 citations). Wei‐Juin Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Full‐Young Chang, Shou‐Dong Lee, Yi‐Shin Huang, Herng‐Der Chern, Jia‐Yih Feng, Sheng‐Wei Pan, Vincent Yi‐Fong Su, Chi‐Huei Chiang, Shi-Chuan Chang and Kun‐Ta Chou. Their work appears in journals such as Medicine, CHEST Journal, PLoS ONE, Lung Cancer and Diagnostic Microbiology and Infectious Disease.

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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