Hao Tang

6.2k total citations · 2 hit papers
81 papers, 4.5k citations indexed

About

Hao Tang is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hao Tang has authored 81 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Epidemiology and 15 papers in Infectious Diseases. Recurrent topics in Hao Tang's work include Osteoarthritis Treatment and Mechanisms (8 papers), Animal Disease Management and Epidemiology (7 papers) and Microbial infections and disease research (6 papers). Hao Tang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Animal Disease Management and Epidemiology (7 papers) and Microbial infections and disease research (6 papers). Hao Tang collaborates with scholars based in China, United States and Australia. Hao Tang's co-authors include Jason G. Cyster, Christopher D.C. Allen, Jason G. Cyster, Takaharu Okada, Jane Y. Wu, Vu N. Ngo, Sanjiv A. Luther, Paul Hyman, Andrew G. Farr and Yi Rao and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Hao Tang

75 papers receiving 4.4k citations

Hit Papers

Sturge–Weber Syndrome and Port-Wine Stains Caused by Som... 2006 2026 2012 2019 2013 2006 200 400 600

Peers

Hao Tang
Comparison fields: 5 of 139
  • Immunology 1.6k
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 819
  • Oncology 703
  • Surgery 498
Replace Michelle L. Hermiston with:
Michelle L. Hermiston United States
Axel Pagenstecher Germany
Edward H. Cho United States
Elmar Endl Germany
James W. Wells Australia
Olivier Boyer France
Zhiyong Yang United States
Alain Schmitt France
Gerald J. Spangrude United States
Keith Langley United States
Michelle L. Hermiston United States 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 2
2 1
3 4
4 1
5 7
6 3
7 16
8 10
9 9
10 3
11 15
12
A New Method Based on LAMP-CRISPR–Cas12a-Lateral Flow Immunochromatographic Strip for Detection
31
13 2
14 2
15 23
16 1
17 23
18
Imaging of Germinal Center Selection Events During Affinity Maturation breakdown →
606
19 113
20 73

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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