Yiping Tu

4.0k citations
53 papers · 3.1k · h-index 26

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Cell death mechanisms and regulation

Papers in

Yiping Tu

53 papers receiving 3.1k citations

Peers

Yiping Tu
Comparison fields: 5 of 112
  • Hematology 448
  • Molecular Biology 1.9k
  • Cell Biology 399
  • Cardiology and Cardiovascular Medicine 442
  • Oncology 434
Replace Dimcho Bachvarov with:
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Rongli Zhang China
Koichiro Mihara Canada
Nisar A. Pampori United States
Kohji Hanasaki Japan
Motoi Ohba Japan
Fulong Tan United States
Zen‐ichiro Honda Japan
Satya Saxena United States
D P Via United States
Yiping Tu relative to Dimcho Bachvarov Canada Dimcho Bachvarov's profile →
Citations per field
00.5×5.7×
Dimcho Bachvarov · 1×
Citations per year

Countries citing papers authored by Yiping Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997311
2 2010288
3 1995245
4
BCL-X expression in multiple myeloma: possible indicator of chemoresistance.
1998199
5
The phosphatidylinositol 3-kinase/AKT kinase pathway in multiple myeloma plasma cells: roles in cytokine-dependent survival and proliferative responses.
2000192
6 2011180
7 2010135
8 2013122
9 2019110
10 199889
11 199688
12 199786
13 201181
14 201677
15 201871
16 201367
17 201965
18 200962
19 201858
20 201158

About Yiping Tu

Yiping Tu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Nuclear Structure and Function (20 papers), Genomics and Chromatin Dynamics (15 papers), Lipid metabolism and disorders (12 papers), Multiple Myeloma Research and Treatments (6 papers), Cell death mechanisms and regulation (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Skin and Cellular Biology Research (4 papers). The work is most often cited by research in Hematology (448 citations), Molecular Biology (1.9k citations), Cell Biology (399 citations), Cardiology and Cardiovascular Medicine (442 citations) and Oncology (434 citations). Yiping Tu has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Alan Lichtenstein, Stephen G. Young, Loren G. Fong, Agnes Gardner, Catherine Fady, Robert Vescio, Chika Nobumori, Fenghao Xu, James R. Berenson and Sandy Y. Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Lipid Research, Human Molecular Genetics, Blood and Arteriosclerosis Thrombosis and Vascular Biology.

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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