Li‐Hao Huang

949 citations
18 papers · 676 indexed · 1 hit paper · h-index 13
Topics
Cholesterol and Lipid Metabolism (4 papers)Peptidase Inhibition and Analysis (3 papers)Neuropeptides and Animal Physiology (3 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Li‐Hao Huang

18 papers receiving 671 citations

Hit Papers

Enterically derived high-density lipoprotein restrains li...202120262022202420214080120

Peers

Li‐Hao Huang
Comparison fields: 5 of 80
  • Molecular Biology 229
  • Oncology 201
  • Surgery 175
  • Epidemiology 138
  • Endocrinology, Diabetes and Metabolism 117
Replace Tomas Jakobsson with:
Tomas Jakobsson Sweden
Ayce Yesilaltay United States
Kamal D. Mehta United States
B Paigen United States
Sébastien Jacquet United Kingdom
Ji Hoon Yu South Korea
Chen S. Suen United States
Hailing Liao United States
Eijiro Yamada Japan
Xin Xie China
Li‐Hao Huang relative to Tomas Jakobsson Sweden Tomas Jakobsson's profile →
Citations per field
00.5×1.6×
Tomas Jakobsson · 1×
Citations per year

Countries citing papers authored by Li‐Hao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Hao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Hao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Hao Huang. A scholar is included among the top collaborators of Li‐Hao 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 Li‐Hao Huang. Li‐Hao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 3
2 11
3
Enterically derived high-density lipoprotein restrains liver injury through the portal veinbreakdown →
135
4 7
5 29
6 29
7 37
8 22
9 51
10 44
11 34
12 67
13 81
14 4
15 14
16 11
17 26
18 71

About Li‐Hao Huang

Li‐Hao Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Immunology and Allergy, having authored 18 papers that have together received 676 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Peptidase Inhibition and Analysis (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Oncology (201 citations), Endocrinology, Diabetes and Metabolism (117 citations) and Cancer Research (84 citations). Li‐Hao Huang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gwendalyn J. Randolph, Andrew Elvington, Ta‐Yuan Chang, Catherine C.Y. Chang, Elena Y. Bryleva, Mary G. Sorci‐Thomas, Yohei Shibuya, Kory J. Lavine, Emily J. Onufer and Yong‐Hyun Han. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

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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