Mingfu Tian

2.3k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 11

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors

Papers in

Mingfu Tian

17 papers receiving 1.2k citations

Hit Papers

Hypoxia signaling in human health and diseases: implications and prospects for therapeutics 2022 · 265 citations
265202220262023202450100150200250

Peers

Mingfu Tian
Comparison fields: 5 of 110
  • Immunology 421
  • Infectious Diseases 367
  • Cancer Research 141
  • Biological Psychiatry 23
  • Molecular Biology 542
Replace Chunyuan Zhao with:
Chunyuan Zhao China
Elizabeth Fitzpatrick United States
SangJoon Lee South Korea
Thiago J. Borges United States
Rommel Chacón‐Salinas Mexico
Lin Wei China
Wai Po Chong China
G W Newman United States
Tatsuya Kozaki Japan
Guohua Zhen China
Mingfu Tian relative to Chunyuan Zhao China Chunyuan Zhao's profile →
Citations per field
00.5×1.5×2.3×
Chunyuan Zhao · 1×
Citations per year

Countries citing papers authored by Mingfu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Mingfu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingfu Tian, 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 Mingfu Tian Line = papers co-authored together Mingfu Tian links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 202310
6 202348
7 20237
8 20238
9 20237
10
Hypoxia signaling in human health and diseases: implications and prospects for therapeutics
Hit paper breakdown →
2022265
11 2021154
12 202063
13 202059
14 2020172
15 2020128
16 202013
17 201866
18 2018162
19 201731

About Mingfu Tian

Mingfu Tian is a scholar working on Aging, Infectious Diseases, Immunology, Obstetrics and Gynecology and Physiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Inflammasome and immune disorders (3 papers), Long-Term Effects of COVID-19 (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Mosquito-borne diseases and control (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Immunology (421 citations), Infectious Diseases (367 citations), Cancer Research (141 citations), Biological Psychiatry (23 citations) and Molecular Biology (542 citations). Mingfu Tian has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Jianguo Wu, Wenbiao Wang, Zhen Luo, Pan Pan, Kailang Wu, Feng Xiao, Geng Li, Qiwei Zhang, Yongkui Li and Ge Yang. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, PLoS Pathogens, Signal Transduction and Targeted Therapy, Journal of Medical Virology and Viruses.

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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