Michael Chen

3.4k citations
59 papers · 2.3k indexed · h-index 21

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 3

Michael Chen

58 papers receiving 2.3k citations

Peers

Michael Chen
Comparison fields: 5 of 140
  • Cellular and Molecular Neuroscience 648
  • Neurology 274
  • Developmental Neuroscience 100
  • Immunology 309
  • Molecular Biology 994
Replace Yali Chen with:
Yali Chen China
Paolo Bigini Italy
Valentı́n Ceña Spain
Xiaohong Xu China
Wojciech G. Lesniak United States
Moon‐Hee Lee South Korea
Tiago Santos Portugal
Young Gyu Chai South Korea
Peng Xia China
Rodrigo R. Resende Brazil
Michael Chen relative to Yali Chen China Yali Chen's profile →
Citations per field
00.5×1.5×1.8×
Yali Chen · 1×
Citations per year

Countries citing papers authored by Michael Chen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013399
2 1992326
3 1993209
4 2013204
5 2018128
6 2012100
7 199885
8 200283
9 199265
10
Assisted reproductive technology surveillance - United States, 2004.
200763
11 200557
12 200154
13 199242
14 201731
15 200929
16 201826
17 199826
18 202224
19 201624
20 200224

About Michael Chen

Michael Chen is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), Cancer Research and Treatments (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (648 citations), Neurology (274 citations), Developmental Neuroscience (100 citations), Immunology (309 citations) and Molecular Biology (994 citations). Michael Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Maiken Nedergaard, Qiwu Xu, Jonathan Satin, John W. Kyle, Peter M. Bell, R. B. Rogart, Harry A. Fozzard, Leanne L. Cribbs, Weiguo Peng and Jean‐François Paré. Their work appears in journals such as Scientific Reports, International Journal of Nanomedicine, Organometallics, Cancer Letters and Science.

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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