Ching‐Chuan Hsieh

1.9k citations
58 papers · 1.5k indexed · h-index 23
Topics
Immune cells in cancer (14 papers)Nutrition and Health in Aging (6 papers)Inflammatory Biomarkers in Disease Prognosis (5 papers)
Partner nations
TaiwanUnited StatesMacao

In The Last Decade

Ching‐Chuan Hsieh

55 papers receiving 1.5k citations

Peers

Ching‐Chuan Hsieh
Comparison fields: 5 of 101
  • Immunology 526
  • Oncology 387
  • Surgery 312
  • Molecular Biology 284
  • Pulmonary and Respiratory Medicine 225
Replace Ramesh Saxena with:
Ramesh Saxena United States
Francesca Lunardi Italy
Hidekazu Ikeuchi Japan
Nicole D. Zantek United States
Zubin M. Bamboat United States
Michael G. Alexandrakis Greece
Gregory P. Cosgrove United States
Yücel Üstündağ Türkiye
Christian Erbel Germany
Masashi Tsuruta Japan
Ching‐Chuan Hsieh relative to Ramesh Saxena United States Ramesh Saxena's profile →
Citations per field
00.5×1.5×
Ramesh Saxena · 1×
Citations per year

Countries citing papers authored by Ching‐Chuan Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chuan Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Chuan Hsieh. 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 Ching‐Chuan Hsieh. The network helps show where Ching‐Chuan Hsieh may publish in the future.

Co-authorship network of co-authors of Ching‐Chuan Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Chuan Hsieh. A scholar is included among the top collaborators of Ching‐Chuan Hsieh 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 Ching‐Chuan Hsieh. Ching‐Chuan Hsieh 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
#WorkIndexed citations
1 0
2 11
3 38
4 2
5 5
6 6
7 16
8 9
9 13
10 71
11 44
12 24
13 27
14 59
15 29
16 0
17
Correlation of Ultrasonography with Fine Needle Aspiration Cytology and Final Pathological Diagnoses in Patients with Thyroid Nodules
2
18 20
19 34
20 47

About Ching‐Chuan Hsieh

Ching‐Chuan Hsieh is a scholar working on Immunology, Biological Psychiatry and Oncology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune cells in cancer (14 papers), Nutrition and Health in Aging (6 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). The work is most often cited by research in Immunology (526 citations), Oncology (387 citations) and Hepatology (103 citations). Ching‐Chuan Hsieh has collaborated with scholars based in Taiwan, United States and Macao. Frequent co-authors include Miao‐Fen Chen, Wen‐Cheng Chen, Chun‐Te Wu, Shiguang Qian, Lianfu Wang, John J. Fung, Lina Lü, Chia‐Siu Wang, Ming‐Shian Lu and Horng-Ren Yang. Their work appears in journals such as Blood, PLoS ONE and Hepatology.

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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