Michael P. Chu

1.9k citations
66 papers · 1.2k indexed · h-index 21

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Multiple Myeloma Research and Treatments 24
    • CAR-T cell therapy research 12
    • Peptidase Inhibition and Analysis 8
    • Cancer Immunotherapy and Biomarkers 6

Michael P. Chu

59 papers receiving 1.2k citations

Peers

Michael P. Chu
Comparison fields: 5 of 93
  • Hematology 239
  • Oncology 570
  • Geriatrics and Gerontology 69
  • Gastroenterology 49
  • Immunology 168
Replace Daniel A. Nikcevich with:
Daniel A. Nikcevich United States
Drew K. Seisler United States
Pascal Wolter Belgium
Yasuaki Hirooka Japan
Jérôme Alexandre France
Masaru Miyazaki Japan
David L. DeRemer United States
Krish Patel United States
P. M. Markus Germany
Michael P. Chu relative to Daniel A. Nikcevich United States Daniel A. Nikcevich's profile →
Citations per field
00.5×4.6×
Daniel A. Nikcevich · 1×
Citations per year

Countries citing papers authored by Michael P. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. 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 Michael P. Chu. The network helps show where Michael P. Chu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20243
4 20242
5 20242
6 20245
7 20233
8 20231
9 202376
10 20234
11 20210
12 201920
13 201820
14 20172
15 20171
16 201615
17 201545
18 201480
19 201412
20 201315

About Michael P. Chu

Michael P. Chu is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (24 papers), CAR-T cell therapy research (12 papers), Protein Degradation and Inhibitors (10 papers), Peptidase Inhibition and Analysis (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Hematology (239 citations), Oncology (570 citations), Geriatrics and Gerontology (69 citations), Gastroenterology (49 citations) and Immunology (168 citations). Michael P. Chu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Michael B. Sawyer, Sunita Ghosh, Carole Chambers, Randeep Sangha, Andrew R. Belch, Neil Chua, Michael Smylie, Suzanne Trudel, Ian C. Paterson and Loree Larratt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nature Medicine, Clinical Colorectal Cancer and Endocrinology.

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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