Chao‐Ping Yang

1k citations
62 papers · 815 · h-index 20

Impact in

Papers in

Chao‐Ping Yang

62 papers receiving 780 citations

Peers

Chao‐Ping Yang
Comparison fields: 5 of 79
  • Hematology 175
  • Pediatrics, Perinatology and Child Health 72
  • Genetics 44
  • Neurology 55
  • Neurology 28
Replace Shu‐Huey Chen with:
Shu‐Huey Chen Taiwan
Carl Pochedly United States
Sue McIntosh United States
Veerle Labarque Belgium
MINNA YSSING Denmark
Daniela Rizzo Italy
Olga Graciela Cantú‐Rodríguez Mexico
Óscar González‐Llano Mexico
Patricia Aguilar‐Martinez France
Beng Fuh United States
Chao‐Ping Yang relative to Shu‐Huey Chen Taiwan Shu‐Huey Chen's profile →
Citations per field
00.5×2×4×6×8×9.3×
Shu‐Huey Chen · 1×
Citations per year

Countries citing papers authored by Chao‐Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Ping Yang. 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 Chao‐Ping Yang. The network helps show where Chao‐Ping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201372
2 201947
3 201644
4 201243
5 202232
6 201429
7 200425
8 201425
9 199723
10 200223
11 201923
12 200222
13 200522
14 200822
15 200922
16
Epidemiology, clinical features and treatment outcome of Wilms' tumor in Taiwan: a report from Taiwan Pediatric Oncology Group.
200421
17 200821
18 201721
19 201820
20 202120

About Chao‐Ping Yang

Chao‐Ping Yang is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Neurology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 62 papers that have together received 815 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Sarcoma Diagnosis and Treatment (4 papers), Renal and related cancers (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Antifungal resistance and susceptibility (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Hematology (175 citations), Pediatrics, Perinatology and Child Health (72 citations), Genetics (44 citations), Neurology (55 citations) and Neurology (28 citations). Chao‐Ping Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tang‐Her Jaing, Iou‐Jih Hung, Shih‐Hsiang Chen, Lee‐Yung Shih, Der‐Cherng Liang, Ming-Horng Tsai, Pei‐Kwei Tsay, Huijun Wu, Hsi‐Che Liu and Tung‐Huei Lin. Their work appears in journals such as Journal of Pediatric Hematology/Oncology, Blood, International Journal of Hematology, European Journal of Pediatrics and Medicine.

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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