Tai‐Chung Huang

3.5k citations
39 papers · 761 indexed · h-index 16
Topics
Lymphoma Diagnosis and Treatment (12 papers)MicroRNA in disease regulation (6 papers)Viral-associated cancers and disorders (6 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
TaiwanUnited StatesIndia

In The Last Decade

Tai‐Chung Huang

36 papers receiving 757 citations

Peers

Tai‐Chung Huang
Comparison fields: 5 of 83
  • Molecular Biology 376
  • Cancer Research 173
  • Hematology 172
  • Oncology 154
  • Immunology 101
Replace Michiel van den Brand with:
Michiel van den Brand Netherlands
Patrick Bhola United States
Baiteng Zhao United States
Marta Sánchez-Martín United States
Sophie Domhan Germany
Maja Ludvigsen Denmark
Claudio A. Mosse United States
Emma L. Davenport United Kingdom
Leila N. Varghese Australia
George P. Souroullas United States
Tai‐Chung Huang relative to Michiel van den Brand Netherlands Michiel van den Brand's profile →
Citations per field
00.5×3.9×
Michiel van den Brand · 1×
Citations per year

Countries citing papers authored by Tai‐Chung Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Chung Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai‐Chung Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Chung Huang. A scholar is included among the top collaborators of Tai‐Chung 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 Tai‐Chung Huang. Tai‐Chung 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 1
2 1
3 1
4 1
5 1
6 2
7 15
8 2
9 26
10 1
11 64
12 32
13 6
14 50
15 107
16 21
17 15
18 75
19 25
20 50

About Tai‐Chung Huang

Tai‐Chung Huang is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 39 papers that have together received 761 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (6 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Hematology (172 citations), Cancer Research (173 citations) and Genetics (68 citations). Tai‐Chung Huang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Akhilesh Pandey, Sneha M. Pinto, Raghothama Chaerkady, Bor‐Sheng Ko, Ming Yao, Jih‐Luh Tang, Hwei‐Fang Tien, Shang‐Yi Huang, Yi Yang and Shang‐Ju Wu. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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