L-F Chen

446 citations
6 papers · 363 · h-index 6

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
    • Signaling Pathways in Disease
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation

Papers in

    • Signaling Pathways in Disease 2
    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • Peptidase Inhibition and Analysis 2

L-F Chen

6 papers receiving 359 citations

Peers

L-F Chen
Comparison fields: 5 of 44
  • Hematology 109
  • Molecular Biology 320
  • Oncology 111
  • Immunology 60
  • Cancer Research 41
Replace Y-T Tai with:
Y-T Tai United States
Alexandra L. Albert Canada
Cristiana Borrelli Italy
Caila Ryan United States
Valentina Agnusdei Italy
Roel Vandepoel Belgium
Paola Rivera-Muñoz France
Ankita Gupte Australia
Matthew J. Garnett United States
Vladimir Janković United States
L-F Chen relative to Y-T Tai United States Y-T Tai's profile →
Citations per field
00.5×1.5×2.1×
Y-T Tai · 1×
Citations per year

Countries citing papers authored by L-F Chen

Since Specialization
Citations

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

Fields of papers citing papers by L-F Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About L-F Chen

L-F Chen is a scholar working on Molecular Biology, Oncology, Hematology, Surgery and Physiology, having authored 6 papers that have together received 363 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Peptidase Inhibition and Analysis (2 papers), Autoimmune and Inflammatory Disorders Research (1 paper), Estrogen and related hormone effects (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Hematology (109 citations), Molecular Biology (320 citations), Oncology (111 citations), Immunology (60 citations) and Cancer Research (41 citations). L-F Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include S.K. Nair, Bin Huang, Jun Qi, H Zhang, James E. Bradner, Xinxing Wu, Zhenhua Zou, Manuel Salto‐Tellez, Chee Wee Ong and Yoshiaki Ito. Their work appears in journals such as Oncogene, Scandinavian Journal of Rheumatology and Journal of International Medical Research.

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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