Fajiu Li

426 citations
28 papers · 284 · h-index 8

Impact in

    • Long-Term Effects of COVID-19
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

Fajiu Li

23 papers receiving 280 citations

Peers

Fajiu Li
Comparison fields: 5 of 57
  • Neurology 65
  • Cancer Research 64
  • Critical Care and Intensive Care Medicine 13
  • Pulmonary and Respiratory Medicine 73
  • Infectious Diseases 41
Replace Jiaran Shi with:
Jiaran Shi China
Ehsan Zaboli Iran
Hongyun Gong China
Laura Rizzà Italy
Christina Salvador Austria
Mohamed Khayata United States
Martha C. Kutko United States
Amalia S. Lehmann United States
Xiaoli Xu China
Fajiu Li relative to Jiaran Shi China Jiaran Shi's profile →
Citations per field
00.5×12×
Jiaran Shi · 1×
Citations per year

Countries citing papers authored by Fajiu Li

Since Specialization
Citations

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

Fields of papers citing papers by Fajiu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 201728
3 201727
4 202225
5 201725
6 201622
7 202015
8 202311
9 20237
10 20226
11 20116
12 20246
13 20225
14 20234
15 20222
16 20242
17 20212
18 20242
19 20211
20 20221

About Fajiu Li

Fajiu Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Genetics and Neurology, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Vascular Anomalies and Treatments (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Long-Term Effects of COVID-19 (2 papers), Asthma and respiratory diseases (2 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Neurology (65 citations), Cancer Research (64 citations), Critical Care and Intensive Care Medicine (13 citations), Pulmonary and Respiratory Medicine (73 citations) and Infectious Diseases (41 citations). Fajiu Li has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Chenghong Li, Chuanhai Wang, Shi Chen, Xiaojiang Wang, Jie Huang, Yi Shi, Ismaı̈l Elalamy, Yunxia Zhang, Jing Wang and Zhu Zhang. Their work appears in journals such as Medicine, Frontiers in Immunology, Biochemical and Biophysical Research Communications, BMC Pulmonary Medicine and European Respiratory Journal.

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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