Chia‐Jen Liu

12.9k citations
232 papers · 10.2k · h-index 58

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 22
    • Acute Myeloid Leukemia Research 10
    • Hematopoietic Stem Cell Transplantation 10

Chia‐Jen Liu

226 papers receiving 10.0k citations

Peers

Chia‐Jen Liu
Comparison fields: 5 of 152
  • Cardiology and Cardiovascular Medicine 1.9k
  • Internal Medicine 256
  • Hematology 805
  • Cell Biology 1.2k
  • Cancer Research 782
Replace William C. Aird with:
William C. Aird United States
Stefano Duga Italy
Rosanna Asselta Italy
Nicholas W. Morrell United Kingdom
Jochen Reiser United States
Christian Schulz Germany
Mark W. Geraci United States
David M. Smadja France
Wolfgang C. Poller Germany
Paquita Nurden France
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Citations per field
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Citations per year

Countries citing papers authored by Chia‐Jen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Jen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002309
2 2020281
3 2015259
4 2012254
5 2017232
6 2015212
7 2015194
8 2010183
9 2018183
10 2003179
11 2004174
12 2018165
13 2003164
14 2004157
15 2014150
16 2002149
17 2020141
18 2017133
19 2003131
20 2005125

About Chia‐Jen Liu

Chia‐Jen Liu is a scholar working on Hematology, Oncology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Cancer Research, having authored 232 papers that have together received 10.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Atrial Fibrillation Management and Outcomes (21 papers), Lymphoma Diagnosis and Treatment (10 papers), Hippo pathway signaling and YAP/TAZ (10 papers), Acute Myeloid Leukemia Research (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Cancer Genomics and Diagnostics (9 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Internal Medicine (256 citations), Hematology (805 citations), Cell Biology (1.2k citations) and Cancer Research (782 citations). Chia‐Jen Liu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Tzeng‐Ji Chen, Ben L. Margolis, Michael H. Roh, Ta‐Chuan Tuan, Shuling Fan, Kang-Ling Wang, Yu‐Feng Hu, Yenn‐Jiang Lin, Tze‐Fan Chao and Gregory Y.H. Lip. Their work appears in journals such as PLoS ONE, International Journal of Cardiology, Medicine, Annals of Hematology and The American Journal of 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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