Fang Liu

8.1k citations
156 papers · 5.4k indexed · 3 hit papers · h-index 30
Co-authors
Huan HanXinghui LiuRui LiuLan YangJie LiChengliang ZhuXiang ZhouLi Lin
Journals
SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)Hepatology (1 paper)

In The Last Decade

Fang Liu

144 papers receiving 5.3k citations

Hit Papers

Profiling serum cytokines in COVID-19 patients reveals IL...8302020202620222024250500750

Peers

Fang Liu
Comparison fields: 5 of 159
  • Infectious Diseases 2.8k
  • Neurology 1.6k
  • Internal Medicine 216
  • Critical Care and Intensive Care Medicine 218
  • Epidemiology 1.2k
Replace Jin‐Wen Song with:
Jin‐Wen Song China
Haibo Zhang Canada
Jianxin Song China
Mark M. Wurfel United States
Tao Chen China
Gregory J. Beilman United States
Zhe Xu China
Shiji Wu China
Jessica Manson United Kingdom
Ferhat Meziani France
Fang Liu relative to Jin‐Wen Song China Jin‐Wen Song's profile →
Citations per field
00.5×10×20×30×36.5×
Jin‐Wen Song · 1×
Citations per year

Countries citing papers authored by Fang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202411
4 20240
5 20240
6 20231
7 20232
8 20222
9 20222
10 20221
11 202218
12 20216
13 20214
14
Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictorsbreakdown →
2020830
15 20201
16 20196
17 201814
18 20152
19
Role of Cyfra21-1 Detection in Evaluation of Cervical Cancer New Adjuvant Chemotherapy
20101
20 201013

About Fang Liu

Fang Liu is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 156 papers that have together received 5.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (32 papers), COVID-19 Clinical Research Studies (18 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Hepatitis B Virus Studies (8 papers), Long-Term Effects of COVID-19 (8 papers), Liver Disease and Transplantation (8 papers), Lipid metabolism and disorders (8 papers) and Sepsis Diagnosis and Treatment (7 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Neurology (1.6k citations) and Internal Medicine (216 citations). Fang Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huan Han, Xinghui Liu, Rui Liu, Lan Yang, Jie Li, Chengliang Zhu, Xiang Zhou, Li Lin, Juan Wu and Bixi Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Hepatology.

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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