Mark Z. Chen

1.1k citations
10 papers · 662 · h-index 8

Impact in

Papers in

    • Fibroblast Growth Factor Research 3
    • Metabolism, Diabetes, and Cancer 2
    • Kruppel-like factors research 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Epigenetics and DNA Methylation 1
    • Adipose Tissue and Metabolism 2

Mark Z. Chen

10 papers receiving 646 citations

Peers

Mark Z. Chen
Comparison fields: 5 of 69
  • Geriatrics and Gerontology 97
  • Aging 17
  • Physiology 170
  • Molecular Biology 393
  • Nephrology 34
Replace Ruifeng Yang with:
Ruifeng Yang China
Sheetal Kumar United Kingdom
Rika Ohkubo United States
Sivakama S. Bharathi United States
Morten Lundh Denmark
Ja Young Kim-Muller United States
Radha Uppala United States
Shanna Tam Australia
Magali Joffraud Switzerland
Ruiting Lin China
Mark Z. Chen relative to Ruifeng Yang China Ruifeng Yang's profile →
Citations per field
00.5×2.6×
Ruifeng Yang · 1×
Citations per year

Countries citing papers authored by Mark Z. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Z. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011200
2 2011159
3 201788
4 201351
5 202048
6 200645
7 201745
8 200921
9 20244
10 20191

About Mark Z. Chen

Mark Z. Chen is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Nephrology, having authored 10 papers that have together received 662 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Kruppel-like factors research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Adipose Tissue and Metabolism (2 papers), Parathyroid Disorders and Treatments (1 paper), Epigenetics and DNA Methylation (1 paper) and Vascular Procedures and Complications (1 paper). The work is most often cited by research in Geriatrics and Gerontology (97 citations), Aging (17 citations), Physiology (170 citations), Molecular Biology (393 citations) and Nephrology (34 citations). Mark Z. Chen has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Jerrold M. Olefsky, Kazuaki Ohtsubo, Jamey D. Marth, Junichiro Sonoda, Amos Baruch, Carrie E. McCurdy, Michael Holliday, Keith Baar, Olivia Osborn and Andrew Philp. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine, The FASEB Journal, Cell Reports and Molecular Metabolism.

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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