C-Y Chen

1.3k citations
16 papers · 523 · h-index 10

Impact in

Papers in

    • Peptidase Inhibition and Analysis 2
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 2

C-Y Chen

15 papers receiving 509 citations

Peers

C-Y Chen
Comparison fields: 5 of 75
  • Hematology 252
  • Geriatrics and Gerontology 41
  • Genetics 76
  • Cancer Research 76
  • Pharmacology 54
Replace Stephanie Roberts with:
Stephanie Roberts United Kingdom
Klára Gadó Hungary
Chie Ogawa Japan
Mahshid Mehdizadeh Iran
Uche Anadu Ndefo United States
Qing Ma China
Ellice Wong United States
Suhua Chen China
Mohammad Suhail Akhter Saudi Arabia
C-Y Chen relative to Stephanie Roberts United Kingdom Stephanie Roberts's profile →
Citations per field
00.5×2.6×
Stephanie Roberts · 1×
Citations per year

Countries citing papers authored by C-Y Chen

Since Specialization
Citations

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

Fields of papers citing papers by C-Y Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010124
2 200781
3 200765
4 201855
5 200950
6 199242
7 200735
8 201334
9 200410
10 20199
11 20028
12 20174
13 20114
14 20241
15
Callus induction of Podophyllum pleianthum Hance and the detection of podophyllotoxin.
20041
16 20070

About C-Y Chen

C-Y Chen is a scholar working on Oncology, Hematology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 16 papers that have together received 523 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer Genomics and Diagnostics (2 papers), Blood Pressure and Hypertension Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), HIV Research and Treatment (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Hematology (252 citations), Geriatrics and Gerontology (41 citations), Genetics (76 citations), Cancer Research (76 citations) and Pharmacology (54 citations). C-Y Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Woei Tsay, Hwei‐Fang Tien, Shang‐Yi Huang, Jih‐Luh Tang, Ming Yao, CH How, Chih‐Fen Huang, S-J Wu, Wen‐Chien Chou and Yee‐Chun Chen. Their work appears in journals such as Leukemia, Blood, British Journal of Cancer, Journal of Human Hypertension and Journal of Biomechanics.

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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