Heng Tao

809 citations
16 papers · 647 indexed · h-index 9
Topics
Genetic Syndromes and Imprinting (2 papers)Skin and Cellular Biology Research (2 papers)Molecular Biology Techniques and Applications (2 papers)

In The Last Decade

Heng Tao

16 papers receiving 631 citations

Peers

Heng Tao
Comparison fields: 5 of 90
  • Molecular Biology 347
  • Genetics 264
  • Cellular and Molecular Neuroscience 166
  • Plant Science 62
  • Insect Science 57
Replace Aletta C. Schnitzler with:
Aletta C. Schnitzler United States
Tomoko Morita Japan
Mehmet A. Sözen United States
Brita von Gaudecker Germany
Pengcheng Liu China
Y Shibata Japan
Alexander Ortloff Chile
Ana Villalba Spain
Travis Thomson United States
Noriko Wakisaka Japan
Heng Tao relative to Aletta C. Schnitzler United States Aletta C. Schnitzler's profile →
Citations per field
00.5×2.8×
Aletta C. Schnitzler · 1×
Citations per year

Countries citing papers authored by Heng Tao

Since Specialization
Citations

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

Fields of papers citing papers by Heng Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Tao

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2
[Pituitary tumor transforming gene 1 (PTTG1) is highly expressed and associated with poor prognosis in patients with hepatocellular carcinoma].
1
3 2
4
[Bioinformatics analysis and significance of expression of CC chemokine ligand 23 (CCL23) in hepatocellular carcinoma].
6
5 2
6 5
7 28
8 4
9 65
10 53
11 30
12 116
13 67
14 68
15 19
16 180

About Heng Tao

Heng Tao is a scholar working on Genetics, Rehabilitation and Hepatology, having authored 16 papers that have together received 647 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (2 papers), Skin and Cellular Biology Research (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Genetics (264 citations), Cellular and Molecular Neuroscience (166 citations) and Aging (11 citations). Heng Tao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kelly A. Frazer, David R. Cox, Biao He, Jay Hirsh, P.V. Krishna Pant, Erica Beilharz, Dennis G. Ballinger, Pieter J. de Jong, Kazutoyo Osoegawa and Xiyin Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genome Research.

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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