Peter T.Y. Chu

1.2k citations
30 papers · 991 · h-index 17

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Nephrology top 10%
    • Acute Kidney Injury Research

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Virus-based gene therapy research 4
    • Phagocytosis and Immune Regulation 3

Peter T.Y. Chu

30 papers receiving 970 citations

Peers

Peter T.Y. Chu
Comparison fields: 5 of 97
  • Genetics 138
  • Nephrology 67
  • Oncology 220
  • Hepatology 59
  • Immunology 163
Replace Peter H. Lapchak with:
Peter H. Lapchak United States
Giancarlo Isacchi Italy
Horst Nizze Germany
Noga Manny Israel
Bojing Shao United States
Wanzhuo Xie China
Minako Mori Japan
Masaki Tomita Japan
Fabio Stefano Timeus Italy
Yoshihisa Shibata Japan
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Citations per field
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Peter H. Lapchak · 1×
Citations per year

Countries citing papers authored by Peter T.Y. Chu

Since Specialization
Citations

This map shows the geographic impact of Peter T.Y. Chu'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 Peter T.Y. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T.Y. Chu more than expected).

Fields of papers citing papers by Peter T.Y. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T.Y. Chu. 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 Peter T.Y. Chu. The network helps show where Peter T.Y. Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008178
2 2010108
3 200688
4 200278
5 200758
6 201249
7 200545
8 200544
9 200635
10 200733
11 199227
12 200827
13 200026
14
Active extravasation of arterial contrast agent on post-traumatic abdominal computed tomography.
200426
15 199821
16 200421
17 200019
18
Immunogenetic therapy for B-cell malignancies.
200017
19 200515
20 199314

About Peter T.Y. Chu

Peter T.Y. Chu is a scholar working on Genetics, Immunology, Oncology, Genetics and Molecular Biology, having authored 30 papers that have together received 991 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Cell death mechanisms and regulation (4 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers), Phagocytosis and Immune Regulation (3 papers), CRISPR and Genetic Engineering (2 papers), Abdominal Trauma and Injuries (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (138 citations), Nephrology (67 citations), Oncology (220 citations), Hepatology (59 citations) and Immunology (163 citations). Peter T.Y. Chu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Thomas J. Kipps, Homer C. N. Tien, Jungwha Julia Lee, Eric Hare, Robert Peach, William G. Wierda, Paul Hamilton, Ekaterina Dadachova, Ekaterina Revskaya and Paul A. Hamilton. Their work appears in journals such as Blood, Human Gene Therapy, Clinical Nephrology, Canadian Journal of Surgery and International Journal of Radiation Oncology*Biology*Physics.

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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