Chia‐Yu Wang

3.1k citations
36 papers · 2.2k indexed · h-index 23

Impact in

  • Hematology top 0.5%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 26
    • Hemoglobinopathies and Related Disorders 21

Chia‐Yu Wang

36 papers receiving 2.2k citations

Peers

Chia‐Yu Wang
Comparison fields: 5 of 103
  • Hematology 1.3k
  • Genetics 853
  • Nutrition and Dietetics 1.0k
  • Health, Toxicology and Mutagenesis 261
  • Cancer Research 156
Replace Martine Ropert with:
Martine Ropert France
Antonella Nai Italy
Ahmad Hanif United States
Alessia Pagani Italy
Therese L. Murphy Australia
Kishor B. Raja United Kingdom
Zoubida Karim France
Ketil Thorstensen Norway
Mindy Zhang United States
J P Kushner United States
Chia‐Yu Wang relative to Martine Ropert France Martine Ropert's profile →
Citations per field
00.5×3.5×
Martine Ropert · 1×
Citations per year

Countries citing papers authored by Chia‐Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Yu Wang. 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 Chia‐Yu Wang. The network helps show where Chia‐Yu Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20242
4 202314
5 20211
6 202021
7 201814
8 201833
9 201710
10 201747
11 2016169
12 20164
13 201522
14 2015179
15 201374
16 2013143
17 2012305
18 2012189
19 200925
20 200351

About Chia‐Yu Wang

Chia‐Yu Wang is a scholar working on Hematology, Genetics, Nutrition and Dietetics, Ophthalmology and Immunology and Allergy, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (26 papers), Trace Elements in Health (21 papers), Hemoglobinopathies and Related Disorders (21 papers), Renal and related cancers (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Cardiovascular Disease and Adiposity (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (853 citations), Nutrition and Dietetics (1.0k citations), Health, Toxicology and Mutagenesis (261 citations) and Cancer Research (156 citations). Chia‐Yu Wang has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Jodie L. Babitt, Mitchell D. Knutson, Supak Jenkitkasemwong, Bryan Mackenzie, Susanna Canali, Kimberly B. Zumbrennen‐Bullough, Ali Shawki, Brian K. Sparkman, Amanda B. Core and Toshiyuki Fukada. Their work appears in journals such as Blood, American Journal of Hematology, Hepatology, European Journal of Clinical Investigation and The FASEB Journal.

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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