Mark Han

793 citations
10 papers · 625 · h-index 7

Impact in

    • Tryptophan and brain disorders
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

Mark Han

10 papers receiving 602 citations

Peers

Mark Han
Comparison fields: 5 of 79
  • Biological Psychiatry 52
  • Spectroscopy 93
  • Cancer Research 71
  • Molecular Biology 290
  • Behavioral Neuroscience 13
Replace C.C. Liew with:
C.C. Liew Canada
Atsushi Hashimoto Japan
Rufina Leung United Kingdom
Roberto Buccafusca United States
Amani Batarseh Australia
Haiying Chen China
Kecheng Zhou China
Jingtao Wang China
Ken Abel United States
Young‐Sook Kang South Korea
Mark Han relative to C.C. Liew Canada C.C. Liew's profile →
Citations per field
00.5×
C.C. Liew · 1×
Citations per year

Countries citing papers authored by Mark Han

Since Specialization
Citations

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

Fields of papers citing papers by Mark Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2005259
2 2008102
3 2008102
4 200698
5 200533
6 202214
7
Outcome prediction values of soluble human epidermal growth factor receptor-2 extracellular domain in metastatic breast cancer.
20146
8 20246
9 20173
10 20062

About Mark Han

Mark Han is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Biomedical Engineering, having authored 10 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (2 papers), Water Treatment and Disinfection (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Biological Psychiatry (52 citations), Spectroscopy (93 citations), Cancer Research (71 citations), Molecular Biology (290 citations) and Behavioral Neuroscience (13 citations). Mark Han has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Choong‐Chin Liew, Stephen J. Glatt, William S. Kremen, Jacques Corbeil, Négar Khanlou, Ian Everall, Ming T. Tsuang, Roman Šášik, Run Zheng and K. Wayne Marshall. Their work appears in journals such as Clinical Cancer Research, Molecular & Cellular Proteomics, Journal of Biomolecular Techniques JBT, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

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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