Stephen Huang

1.4k citations
21 papers · 897 indexed · 1 hit paper · h-index 9
Topics
Kruppel-like factors research (7 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers)Genetic Syndromes and Imprinting (2 papers)

In The Last Decade

Stephen Huang

21 papers receiving 891 citations

Hit Papers

Genome-wide Regulation of 5hmC, 5mC, and Gene Expression ...20112026201620212011100200300400

Peers

Stephen Huang
Comparison fields: 5 of 80
  • Molecular Biology 694
  • Genetics 133
  • Genetics 129
  • Hematology 101
  • Cancer Research 82
Replace Stephen D. Nimer with:
Stephen D. Nimer United States
Ruopeng Feng United States
Guy Mouchiroud France
Tetsuharu Shinjyo Japan
Nicole L. Hoppman United States
Unice J.K. Soh United States
Anne Laugesen Denmark
Ken‐ichi Minehata Japan
Oriana Romano Italy
Stephen Huang relative to Stephen D. Nimer United States Stephen D. Nimer's profile →
Citations per field
00.5×1.5×2.3×
Stephen D. Nimer · 1×
Citations per year

Countries citing papers authored by Stephen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Huang. A scholar is included among the top collaborators of Stephen 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 Stephen Huang. Stephen 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 5
4 2
5 3
6 1
7 23
8 3
9 42
10 36
11 44
12 1
13 1
14 81
15
Genome-wide Regulation of 5hmC, 5mC, and Gene Expression by Tet1 Hydroxylase in Mouse Embryonic Stem Cellsbreakdown →
493
16 41
17 4
18 22
19 87
20 3

About Stephen Huang

Stephen Huang is a scholar working on Genetics, Cancer Research and Neurology, having authored 21 papers that have together received 897 indexed citations. Recurring topics across this work include Kruppel-like factors research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Genetics (133 citations), Molecular Biology (694 citations) and Hematology (101 citations). Stephen Huang has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Andrew J. Barbera, Li Tan, Lingchun Kong, Taiping Chen, Jie Deng, Yang Shi, Jinrong Min, Feizhen Wu, Lijuan Zheng and Guoliang Xu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Blood.

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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