Nan Tang

6.7k citations
113 papers · 4.6k indexed · 2 hit papers · h-index 31

Nan Tang

103 papers receiving 4.5k citations

Hit Papers

SARS-CoV-2 and viral sepsis: observations and hypotheses7932019202620212023250500750

Peers

Nan Tang
Comparison fields: 5 of 172
  • Periodontics 341
  • Infectious Diseases 728
  • Cancer Research 524
  • Molecular Biology 2.0k
  • Cell Biology 449
Replace Alexander H. Dalpke with:
Alexander H. Dalpke Germany
Daisuke Motooka Japan
Yu L. Lei United States
Jóhann E. Guðjónsson United States
Kazuyuki Matsushita Japan
Moira K. B. Whyte United Kingdom
Shiv Pillai United States
Sin‐Hyeog Im South Korea
Xiaojun Ma China
Si Ming Man Australia
Nan Tang relative to Alexander H. Dalpke Germany Alexander H. Dalpke's profile →
Citations per field
00.5×3.4×
Alexander H. Dalpke · 1×
Citations per year

Countries citing papers authored by Nan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nan Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nan Tang Line = papers co-authored together Nan Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
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3 20243
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5 20242
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11 202247
12 20227
13 202123
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15 202132
16
Dagger: A Data (not code) Debugger
20208
17
DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data.
20206
18
Genetic mapping of resistance to Fusarium oxysporum in tulip
20140
19 20113
20
Study of downward communication receiver in rotary steerable drilling tool based on turbine generator
20103

About Nan Tang

Nan Tang is a scholar working on Energy Engineering and Power Technology, Periodontics and Cell Biology, having authored 113 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (17 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Medical Imaging and Pathology Studies (6 papers), Virus-based gene therapy research (6 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cancer Research and Treatments (5 papers), Fibroblast Growth Factor Research (4 papers) and Plant Virus Research Studies (4 papers). The work is most often cited by research in Periodontics (341 citations), Infectious Diseases (728 citations) and Cancer Research (524 citations). Nan Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huaping Dai, Bin Cao, Xiao Su, Dingyu Zhang, Hui Li, Liang Liu, Jiuyang Xu, Richard P. Ellen, Peter C. Lau and Yung-Hua Li. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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