Hao Tang

4.0k total citations
100 papers, 2.8k citations indexed

About

Hao Tang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hao Tang has authored 100 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Hao Tang's work include RNA modifications and cancer (14 papers), Pituitary Gland Disorders and Treatments (12 papers) and Cancer-related molecular mechanisms research (11 papers). Hao Tang is often cited by papers focused on RNA modifications and cancer (14 papers), Pituitary Gland Disorders and Treatments (12 papers) and Cancer-related molecular mechanisms research (11 papers). Hao Tang collaborates with scholars based in China, United States and Thailand. Hao Tang's co-authors include Wengong Wang, Myriam Gorospe, Junyue Xing, Zhenyun Liu, Bin Jiang, Xiaotian Zhang, Jie Yi, Yali Dou, Tanjun Tong and Yongfeng Shang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Tang

94 papers receiving 2.8k citations

Peers

Hao Tang
Comparison fields: 5 of 150
  • Molecular Biology 1.8k
  • Cancer Research 864
  • Immunology 283
  • Oncology 250
  • Surgery 203
Replace Teng Liu with:
Teng Liu China
Xujun Wang China
Chenggang Li China
Peng Zhang China
Jié He China
Aiwu Zhou China
Xiaoping Wan China
Lei Jiang China
Hua Chen China
Ralph V. Shohet United States
Teng Liu China View profile →
Citations per field, relative to Hao Tang
Hao Tang · 1×
Citations per year, relative to Hao Tang
Hao Tang · 1×

Countries citing papers authored by Hao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Tang. A scholar is included among the top collaborators of Hao Tang 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 Hao Tang. Hao Tang 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
# Work Indexed citations
1 1
2 4
3 5
4 7
5 6
6 6
7 4
8 2
9 11
10 11
11 4
12 19
13 14
14 18
15 212
16 0
17 8
18
Preparation and Characterization of PLGA Nanospheres Surface Modified with Biotinylated Chitosan
1
19
Anti-proliferative activity of the mTOR inhibitor AP23573 in combination with cytotoxic and targeted agents
18
20
Structure-based design of AP23573, a phosphorus-containing analog of rapamycin for anti-tumor therapy.
19

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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