Sheng‐Wei Pan

1.1k citations
74 papers · 770 · h-index 15

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

Sheng‐Wei Pan

65 papers receiving 760 citations

Peers

Sheng‐Wei Pan
Comparison fields: 5 of 111
  • Infectious Diseases 338
  • Epidemiology 356
  • Small Animals 66
  • Critical Care and Intensive Care Medicine 25
  • Pulmonary and Respiratory Medicine 135
Replace Brad Moriyama with:
Brad Moriyama United States
María José García Sánchez Spain
Jia‐Yih Feng Taiwan
Suzanne Gagnon United States
Recep Keşli Türkiye
Matthijs Oyaert Belgium
Francisco Sanz Spain
Parvaneh Baghaei Iran
Pamela R. Patton United States
Philip Abraham India
Sheng‐Wei Pan relative to Brad Moriyama United States Brad Moriyama's profile →
Citations per field
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Brad Moriyama · 1×
Citations per year

Countries citing papers authored by Sheng‐Wei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Wei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201753
3 201742
4 201637
5 201733
6 201531
7 201128
8 201924
9 202122
10 201219
11 202018
12 201817
13 202316
14 202016
15 201915
16 201814
17 201714
18 202013
19 202013
20 201512

About Sheng‐Wei Pan

Sheng‐Wei Pan is a scholar working on Epidemiology, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 74 papers that have together received 770 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (30 papers), Mycobacterium research and diagnosis (20 papers), Diagnosis and treatment of tuberculosis (9 papers), Respiratory Support and Mechanisms (6 papers), Infectious Diseases and Tuberculosis (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Biosensors and Analytical Detection (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Infectious Diseases (338 citations), Epidemiology (356 citations), Small Animals (66 citations), Critical Care and Intensive Care Medicine (25 citations) and Pulmonary and Respiratory Medicine (135 citations). Sheng‐Wei Pan has collaborated with scholars based in Taiwan, United States and Finland. Frequent co-authors include Wei‐Juin Su, Jia‐Yih Feng, Yung‐Feng Yen, Vincent Yi‐Fong Su, Chin‐Chung Shu, Yu‐Jiun Chan, Jia-Yih Feng, Yu Ru Kou, Pei-Hung Chuang and Chong‐Jen Yu. Their work appears in journals such as Medicine, Journal of Microbiology Immunology and Infection, Clinical Infectious Diseases, Dalton Transactions and Frontiers in Immunology.

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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