Pei-Ling Tsai

580 citations
22 papers · 409 · h-index 12

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Hepatitis C virus research

Papers in

Pei-Ling Tsai

22 papers receiving 400 citations

Peers

Pei-Ling Tsai
Comparison fields: 5 of 79
  • Cell Biology 72
  • Hepatology 28
  • Molecular Biology 168
  • Epidemiology 75
  • Neurology 29
Replace Jan Rossa with:
Jan Rossa Germany
Tian‐Neng Li Taiwan
Amy J. Conway United States
Hyung Cheol Kim South Korea
Huangcan Li Hong Kong
Kenji Kubara Japan
Oxana V. Denisova Finland
Gaurav Datta United States
Hock Ben Lim United States
Riley S. Drake United States
Pei-Ling Tsai relative to Jan Rossa Germany Jan Rossa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pei-Ling Tsai

Since Specialization
Citations

This map shows the geographic impact of Pei-Ling Tsai'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 Pei-Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Ling Tsai more than expected).

Fields of papers citing papers by Pei-Ling Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Ling Tsai. 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 Pei-Ling Tsai. The network helps show where Pei-Ling Tsai may publish in the future.

Co-authors

The 25 scholars most cited alongside Pei-Ling Tsai, 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 Pei-Ling Tsai Line = papers co-authored together Pei-Ling Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201662
3 202040
4 201539
5 199329
6 202326
7 201123
8 202214
9 200614
10 201913
11 202012
12 199212
13 201910
14 20148
15 20217
16 20226
17 20254
18 20213
19 20223
20 20151

About Pei-Ling Tsai

Pei-Ling Tsai is a scholar working on Developmental and Educational Psychology, Infectious Diseases, Cell Biology, Epidemiology and Molecular Biology, having authored 22 papers that have together received 409 indexed citations. Recurring topics across this work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), Malaria Research and Control (2 papers), Viral Infections and Vectors (2 papers), Cervical Cancer and HPV Research (2 papers), Mosquito-borne diseases and control (2 papers), Innovative Teaching and Learning Methods (2 papers) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Cell Biology (72 citations), Hepatology (28 citations), Molecular Biology (168 citations), Epidemiology (75 citations) and Neurology (29 citations). Pei-Ling Tsai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Christian D. Schlieker, ELIZABETH M. C. TURNER, Chenguang Zhao, Ethan Laudermilch, Che C. Colpitts, Mirjam B. Zeisel, Setareh Ghahari, Morven M. Graham, T’sang‐T’ang Hsieh and Rebecca S. Brown. Their work appears in journals such as International Journal of Molecular Sciences, The Lancet, Molecules, eLife and Cell Reports.

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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