Sheng‐Wei Pan

1.1k citations
75 papers · 824 · h-index 16

Impact in

Papers in

Sheng‐Wei Pan

69 papers receiving 814 citations

Peers

Sheng‐Wei Pan
Comparison fields: 5 of 106
  • Infectious Diseases 262
  • Epidemiology 262
  • Small Animals 40
  • Molecular Medicine 17
  • Critical Care and Intensive Care Medicine 15
Replace Matthijs Oyaert with:
Matthijs Oyaert Belgium
Lambert F. R. Span Netherlands
Wiebke Duettmann Germany
Brian S. Murphy United States
Recep Keşli Türkiye
Jia‐Yih Feng Taiwan
Michael Ruddy United Kingdom
Caroline Monchaud France
E G Maderazo United States
Yukihiro Hamada Japan
Sheng‐Wei Pan relative to Matthijs Oyaert Belgium Matthijs Oyaert's profile →
Citations per field
00.5×4.4×
Matthijs Oyaert · 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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201756
3 201745
4 201638
5 201733
6 201531
7 201130
8 202124
9 201924
10 201220
11 201818
12 202017
13 201917
14 202317
15 202017
16 201716
17 201815
18 201914
19 202213
20 202013

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 75 papers that have together received 824 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (20 papers), Mycobacterium research and diagnosis (14 papers), Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Diagnosis and treatment of tuberculosis (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Electrochemical sensors and biosensors (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (3 papers). The work is most often cited by research in Infectious Diseases (262 citations), Epidemiology (262 citations), Small Animals (40 citations), Molecular Medicine (17 citations) and Critical Care and Intensive Care Medicine (15 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 Journal of Microbiology Immunology and Infection, Medicine, Epidemiology and Infection, CHEST Journal and RSC Advances.

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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