Chia‐Ling Wu

4.5k total citations · 2 hit papers
68 papers, 3.5k citations indexed

About

Chia‐Ling Wu is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Chia‐Ling Wu has authored 68 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Chia‐Ling Wu's work include Muscle Physiology and Disorders (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Hepatitis B Virus Studies (5 papers). Chia‐Ling Wu is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Hepatitis B Virus Studies (5 papers). Chia‐Ling Wu collaborates with scholars based in Taiwan, United States and Australia. Chia‐Ling Wu's co-authors include Li Su, Matthew Meyerson, Claude Gorka, Ed Harlow, G H Enders, Li‐Huei Tsai, Kenneth Walsh, Susan C. Kandarian, E Harlow and Jacqueline A. Lees and has published in prestigious journals such as Science, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Chia‐Ling Wu

65 papers receiving 3.4k citations

Hit Papers

Clonal hematopoiesis ... 1992 2026 2003 2014 2017 1992 250 500 750

Peers

Chia‐Ling Wu
Comparison fields: 5 of 129
  • Molecular Biology 1.8k
  • Oncology 882
  • Hematology 523
  • Immunology 452
  • Cell Biology 432
Replace Ramya Kollipara with:
Ramya Kollipara United States
Andrea Rinaldi Italy
Fabrizio Condorelli Italy
David B. Sykes United States
José L. Pablos Spain
Kathleen M. Murphy United States
Laurent Daniel France
James F. Beck Germany
Ravindra Kolhe United States
Stephan Böhm Germany
Ramya Kollipara United States View profile →
Citations per field, relative to Chia‐Ling Wu
Chia‐Ling Wu · 1×
Citations per year, relative to Chia‐Ling Wu
Chia‐Ling Wu · 1×

Countries citing papers authored by Chia‐Ling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Ling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ling Wu. A scholar is included among the top collaborators of Chia‐Ling Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia‐Ling Wu. Chia‐Ling Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 8
4 2
5 4
6 2
7 4
8 13
9 45
10
Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice breakdown →
978
11
Pilot Survey of Nurses' Attitudes and Practice of Developmentally Supportive Care in NICUs inTaiwan
1
12 84
13 14
14 65
15 38
16 68
17 27
18 31
19 14
20 24

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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