Fen Li

2.5k total citations
142 papers, 1.8k citations indexed

About

Fen Li is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fen Li has authored 142 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 49 papers in Epidemiology and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fen Li's work include Congenital Heart Disease Studies (41 papers), Congenital heart defects research (32 papers) and Coronary Artery Anomalies (13 papers). Fen Li is often cited by papers focused on Congenital Heart Disease Studies (41 papers), Congenital heart defects research (32 papers) and Coronary Artery Anomalies (13 papers). Fen Li collaborates with scholars based in China, United States and France. Fen Li's co-authors include Kun Sun, Bei Feng, Lijun Fu, Shoubao Wang, Yiwei Chen, Qihua Fu, Wei Fu, Ying Guo, Lin Shi and Chen Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Fen Li

127 papers receiving 1.7k citations

Peers

Fen Li
Comparison fields: 5 of 138
  • Molecular Biology 673
  • Epidemiology 401
  • Surgery 293
  • Cardiology and Cardiovascular Medicine 222
  • Pulmonary and Respiratory Medicine 204
Replace Xiaomei Chen with:
Xiaomei Chen China
Anita Saraf United States
Nikolaos Kostomitsopoulos Greece
Lei Gao China
Tomokazu Matsuura Japan
Yu Feng China
Xinrong Zhou China
Alessia Tani Italy
Yuichi Ikeda Japan
Shengjie Li China
Xiaomei Chen China View profile →
Citations per field, relative to Fen Li
Fen Li · 1×
Citations per year, relative to Fen Li
Fen Li · 1×

Countries citing papers authored by Fen Li

Since Specialization
Citations

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

Fields of papers citing papers by Fen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Li. A scholar is included among the top collaborators of Fen Li 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 Fen Li. Fen Li 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 2
3 9
4 2
5 0
6 5
7 6
8 15
9 18
10 5
11 20
12 0
13 3
14
Delineating scleral MMP-2 involvement during form deprivation myopia in mice.
1
15 0
16
Breakup characteristics of liquid jet in supersonic cross flow
2
17
OsGSK3 IS A NOVEL GSK3/SHAGGY-LIKE GENE FROM ORYZA SATIVA L., INVOLVED IN ABIOTIC STRESS SIGNALING
4
18 1
19
Methotrexate combined with lefluomide for a 15-month treatment of severe rheumatoid arthritis
1
20
ACQUIREMENT OF TRANSGENIC COTTON (GOSSYPIUM HIRSUTUM L.) RESISTANT TO HERBICIDE AND INSECT USING GLYPHOSATE-TOLERANT aroAM12 GENE AS A SELECTABLE MARKER
1

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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