Yaping Tu

3.0k citations
64 papers · 2.5k · h-index 28

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Cellular transport and secretion

Papers in

    • Protein Kinase Regulation and GTPase Signaling 14
    • Receptor Mechanisms and Signaling 11
    • Lipid Membrane Structure and Behavior 7
    • ATP Synthase and ATPases Research 6
    • Prostate Cancer Treatment and Research 6

Yaping Tu

62 papers receiving 2.5k citations

Peers

Yaping Tu
Comparison fields: 5 of 106
  • Molecular Biology 1.5k
  • Cell Biology 284
  • Cancer Research 197
  • Immunology and Allergy 75
  • Pulmonary and Respiratory Medicine 341
Replace Masaya Ueno with:
Masaya Ueno Japan
Jesús Espada Spain
Marta García‐Ramírez Spain
Dorothea Rutishauser Sweden
Arthur J. Sytkowski United States
Erica Werner United States
Kevin Gardner United States
Alejandra Tomás United Kingdom
Wen‐Tai Chiu Taiwan
Angela Cattaneo Italy
Yaping Tu relative to Masaya Ueno Japan Masaya Ueno's profile →
Citations per field
00.5×1.5×2.1×
Masaya Ueno · 1×
Citations per year

Countries citing papers authored by Yaping Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaping Tu. 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 Yaping Tu. The network helps show where Yaping Tu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010209
2 1997131
3 2019131
4 1998131
5 2009127
6 1997116
7 2016113
8 2014102
9 199988
10 200685
11 202178
12 201273
13 201469
14 200567
15 199757
16 201054
17 200153
18 201548
19 201046
20 201145

About Yaping Tu

Yaping Tu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Cell Biology and Cancer Research, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Receptor Mechanisms and Signaling (11 papers), Asthma and respiratory diseases (7 papers), Lipid Membrane Structure and Behavior (7 papers), ATP Synthase and ATPases Research (6 papers), Prostate Cancer Treatment and Research (6 papers), Cellular transport and secretion (5 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cell Biology (284 citations), Cancer Research (197 citations), Immunology and Allergy (75 citations) and Pulmonary and Respiratory Medicine (341 citations). Yaping Tu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yan Xie, Elliott M. Ross, Peter W. Abel, Jun Wang, Dennis W. Wolff, Taotao Wei, Haihong Jiang, Thomas B. Casale, Xintian Zhang and Dong Wang. Their work appears in journals such as Journal of Biological Chemistry, Bioscience Reports, The FASEB Journal, Journal of Allergy and Clinical Immunology and Journal of Pharmacology and Experimental Therapeutics.

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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