Sheng‐Wei Pan

68 papers receiving 800 citations

Peers

Sheng‐Wei Pan
Comparison fields: 5 of 105
  • Infectious Diseases 252
  • Epidemiology 260
  • Small Animals 39
  • Critical Care and Intensive Care Medicine 15
  • Molecular Medicine 17
Replace Lambert F. R. Span with:
Lambert F. R. Span Netherlands
Matthijs Oyaert Belgium
Recep Keşli Türkiye
Wiebke Duettmann Germany
Michael Dolton United States
Michael Ruddy United Kingdom
Brian S. Murphy United States
Jia‐Yih Feng Taiwan
Maria Mazzitelli Italy
Travis Jones United States
Sheng‐Wei Pan relative to Lambert F. R. Span Netherlands Lambert F. R. Span's profile →
Citations per field
00.5×1.5×
Lambert F. R. Span · 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 201755
3 201744
4 201638
5 201733
6 201531
7 201130
8 202124
9 201924
10 201219
11 202017
12 201817
13 202317
14 201916
15 202016
16 201715
17 201814
18 202213
19 202013
20 202013

About Sheng‐Wei Pan

Sheng‐Wei Pan is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 810 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 (252 citations), Epidemiology (260 citations), Small Animals (39 citations), Critical Care and Intensive Care Medicine (15 citations) and Molecular Medicine (17 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, Vincent Yi‐Fong Su, Yung‐Feng Yen, 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, International Journal of Infectious Diseases, ACS Omega and PLoS ONE.

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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