Huatao Huang

1.5k citations
17 papers · 1.2k indexed · h-index 14
Topics
Polyamine Metabolism and Applications (5 papers)Glioma Diagnosis and Treatment (3 papers)Cancer-related Molecular Pathways (3 papers)

In The Last Decade

Huatao Huang

17 papers receiving 1.2k citations

Peers

Huatao Huang
Comparison fields: 5 of 81
  • Molecular Biology 803
  • Oncology 370
  • Genetics 225
  • Cancer Research 142
  • Immunology 140
Replace Ard Jonker with:
Ard Jonker Netherlands
Ryosuke Uchibori Japan
Yasuo Takashima Japan
Keisuke Nimura Japan
Nicola H. Dryden United Kingdom
Zhong-Liang Deng China
Sakiko Inamoto Japan
Rong Xiang China
Joanna Liliental United States
Ryohichi Sugimura Hong Kong
Huatao Huang relative to Ard Jonker Netherlands Ard Jonker's profile →
Citations per field
00.5×2.8×
Ard Jonker · 1×
Citations per year

Countries citing papers authored by Huatao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Huatao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huatao Huang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 13
2 5
3 110
4 40
5
Identification of CD70-mediated apoptosis of immune effector cells as a novel immune escape pathway of human glioblastoma.
152
6 19
7 198
8
Gene expression profiling of low-grade diffuse astrocytomas by cDNA arrays.
143
9 87
10 227
11 40
12 14
13 50
14 51
15 7
16 14
17 19

About Huatao Huang

Huatao Huang is a scholar working on Genetics, Biochemistry and Cancer Research, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (5 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Genetics (225 citations), Oncology (370 citations) and Molecular Biology (803 citations). Huatao Huang has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Hiroko Ohgaki, Paul Kleihues, Yasuhiro Yonekawa, Betania Mahler‐Araujo, Anna Sankila, Anthony E. Pegg, Catherine S. Coleman, Gieri Cathomas, Hideki Fujii and Masanori Matsuda. Their work appears in journals such as Biochemistry, Biochemical Journal and American Journal Of Pathology.

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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