Chiang‐Ching Huang

8.9k citations
91 papers · 6.2k indexed · 3 hit papers · h-index 32
Topics
Cancer Genomics and Diagnostics (15 papers)Breast Cancer Treatment Studies (11 papers)Prostate Cancer Treatment and Research (10 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Chiang‐Ching Huang

86 papers receiving 6.1k citations

Hit Papers

Gene-expression profiles predict survival of patients wit...200220262010201820022010201450010001.5k

Peers

Chiang‐Ching Huang
Comparison fields: 5 of 157
  • Molecular Biology 3.5k
  • Cancer Research 1.2k
  • Pulmonary and Respiratory Medicine 1.1k
  • Oncology 698
  • Genetics 653
Replace Marina Sirota with:
Marina Sirota United States
Zhen Zhang China
Albert M. Levin United States
Fiorella Guadagni Italy
Marion Kiechle Germany
Sara Raimondi Italy
Erwin P. Böttinger United States
Katalin Suszták United States
Luca Valenti Italy
Jeffrey B. Hodgin United States
Chiang‐Ching Huang relative to Marina Sirota United States Marina Sirota's profile →
Citations per field
00.5×1.7×
Marina Sirota · 1×
Citations per year

Countries citing papers authored by Chiang‐Ching Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chiang‐Ching Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiang‐Ching Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chiang‐Ching Huang. A scholar is included among the top collaborators of Chiang‐Ching Huang 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 Chiang‐Ching Huang. Chiang‐Ching Huang 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 8
3 8
4 5
5 17
6 4
7 8
8 25
9 8
10 6
11
Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fractionbreakdown →
709
12 3
13 161
14 21
15 76
16 43
17 45
18 22
19 34
20 72

About Chiang‐Ching Huang

Chiang‐Ching Huang is a scholar working on Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Breast Cancer Treatment Studies (11 papers) and Prostate Cancer Treatment and Research (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (3.5k citations) and Pulmonary and Respiratory Medicine (1.1k citations). Chiang‐Ching Huang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pan Du, Nadereh Jafari, Lifang Hou, Warren A. Kibbe, Simon Lin, Xiao Zhang, David G. Beer, Samir Hanash, Tarek G. Gharib and Mark B. Orringer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature 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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