Kang-Hao Liang

1.3k citations
20 papers · 724 indexed · 1 hit paper · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (10 papers)Cancer Cells and Metastasis (6 papers)Viral gastroenteritis research and epidemiology (5 papers)
Partner nations
Taiwan

In The Last Decade

Kang-Hao Liang

19 papers receiving 714 citations

Hit Papers

Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2...2022202620232024202250100150

Peers

Kang-Hao Liang
Comparison fields: 5 of 88
  • Infectious Diseases 323
  • Molecular Biology 320
  • Oncology 170
  • Immunology 90
  • Cancer Research 84
Replace Emanuele Marra with:
Emanuele Marra Italy
Kosi Gramatikoff United States
Feng-Yi Ke Taiwan
Byoung Kwon Park South Korea
Iran Tavakoli Canada
Yukihiro Shirota Japan
Jasmine Samal India
Rongsong Ling China
Joseph S. Bednash United States
Laura Luberto Italy
Kang-Hao Liang relative to Emanuele Marra Italy Emanuele Marra's profile →
Citations per field
00.5×3.9×
Emanuele Marra · 1×
Citations per year

Countries citing papers authored by Kang-Hao Liang

Since Specialization
Citations

This map shows the geographic impact of Kang-Hao Liang'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 Kang-Hao Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang-Hao Liang more than expected).

Fields of papers citing papers by Kang-Hao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Hao Liang. 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 Kang-Hao Liang. The network helps show where Kang-Hao Liang may publish in the future.

Co-authorship network of co-authors of Kang-Hao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang-Hao Liang. A scholar is included among the top collaborators of Kang-Hao Liang 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 Kang-Hao Liang. Kang-Hao Liang 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 3
3 5
4 4
5 11
6 7
7 94
8 18
9
Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2 detectionbreakdown →
157
10 7
11 101
12 17
13 103
14 54
15 1
16 1
17 61
18 39
19 2
20 39

About Kang-Hao Liang

Kang-Hao Liang is a scholar working on Infectious Diseases, Animal Science and Zoology and Oncology, having authored 20 papers that have together received 724 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Cancer Cells and Metastasis (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (323 citations), Oncology (170 citations) and Cancer Research (84 citations). Kang-Hao Liang has collaborated with scholars based in Taiwan. Frequent co-authors include Han‐Chung Wu, Feng-Yi Ke, Ruei‐Min Lu, Shih-Chieh Su, Shih-Han Ko, Yi‐Ping Wang, Hsiu-Ting Lin, Chen Wy, Yi‐Ting Chuang and Yuan‐Chih Chang. Their work appears in journals such as Cancer Research, Scientific Reports and Nature Structural & Molecular Biology.

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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