Hao Tang

9.2k total citations · 2 hit papers
186 papers, 3.1k citations indexed

About

Hao Tang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Hao Tang has authored 186 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Pulmonary and Respiratory Medicine, 42 papers in Surgery and 40 papers in Molecular Biology. Recurrent topics in Hao Tang's work include Aortic Disease and Treatment Approaches (18 papers), Cancer Immunotherapy and Biomarkers (17 papers) and Aortic aneurysm repair treatments (16 papers). Hao Tang is often cited by papers focused on Aortic Disease and Treatment Approaches (18 papers), Cancer Immunotherapy and Biomarkers (17 papers) and Aortic aneurysm repair treatments (16 papers). Hao Tang collaborates with scholars based in China, United States and Italy. Hao Tang's co-authors include Yang Xie, Xiaozhong Qian, Megan Wind‐Rotolo, Luc Girard, Jeffrey S. Weber, David Woods, Andressa S. Laino, Melinda Vassallo, Michihisa Umetani and Bruno Sangro and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hao Tang

168 papers receiving 3.0k citations

Hit Papers

Association of inflammatory biomarkers with clinical outc... 2020 2026 2022 2024 2020 2024 50 100 150 200 250

Peers

Hao Tang
Comparison fields: 5 of 164
  • Oncology 873
  • Molecular Biology 797
  • Pulmonary and Respiratory Medicine 697
  • Surgery 517
  • Cancer Research 507
Replace Jian Chen with:
Jian Chen China
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Ming‐Huang Chen Taiwan
Z. Zheng China
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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 9
2 1
3 11
4 0
5 12
6 27
7 8
8 38
9 8
10 6
11 0
12 2
13 3
14 10
15 19
16 76
17
hsa_circRNA_012515 Is Highly Expressed in NSCLC Patients and Affects Its Prognosis
1
18
NLRP3 Regulated CXCL12 Expression in Acute Neutrophilic Lung Injury
1
19 13
20 8

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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2026