Fen Ai

642 total citations
4 papers, 72 citations indexed

About

Fen Ai is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, Fen Ai has authored 4 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Fen Ai's work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 and Mental Health (1 paper). Fen Ai is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 and Mental Health (1 paper). Fen Ai collaborates with scholars based in China, United States and Singapore. Fen Ai's co-authors include Xiao Xu, Min Huang, Li Chai, Mengyuan Dai, Miao Liu, Liyuan Tao, Zhen Chen, Rui Li, Diane Allen‐Gipson and Zhi Tian and has published in prestigious journals such as Frontiers in Physiology, Transfusion and Molecular Biology Reports.

In The Last Decade

Fen Ai

4 papers receiving 70 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fen Ai China	4	34	26	22	15	14	4	72
Woo Chiao Tay Singapore	3	86 2.5×	23 0.9×	26 1.2×	16 1.1×	24 1.7×	6	119
Karin Veerman Netherlands	4	45 1.3×	24 0.9×	34 1.5×	10 0.7×	27 1.9×	5	94
Valentin Pointurier France	4	71 2.1×	33 1.3×	7 0.3×	7 0.5×	34 2.4×	6	95
Carolin Jakob Germany	6	34 1.0×	27 1.0×	9 0.4×	15 1.0×	24 1.7×	15	87
Daniel J. Shinnick United States	4	36 1.1×	14 0.5×	9 0.4×	19 1.3×	22 1.6×	5	78
Hibba Kurdi United Kingdom	5	29 0.9×	18 0.7×	6 0.3×	6 0.4×	8 0.6×	17	72
Wang Zhaoqin China	2	47 1.4×	9 0.3×	6 0.3×	13 0.9×	19 1.4×	3	60
Venkata Suresh Patthipati United States	4	56 1.6×	16 0.6×	27 1.2×	3 0.2×	34 2.4×	5	98
André Rebaza United States	5	70 2.1×	15 0.6×	4 0.2×	10 0.7×	37 2.6×	8	116
Pablo Catalá Spain	6	84 2.5×	25 1.0×	17 0.8×	37 2.5×	51 3.6×	15	139

Countries citing papers authored by Fen Ai

Since Specialization

Citations

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

Fields of papers citing papers by Fen Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Ai. A scholar is included among the top collaborators of Fen Ai 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 Ai. Fen Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Yang, Wenping, et al.. (2024). Safranal exerts a neuroprotective effect on Parkinson’s disease with suppression of NLRP3 inflammation activation. Molecular Biology Reports. 51(1). 593–593. 5 indexed citations

2.

Liu, Miao, Zhen Chen, Mengyuan Dai, et al.. (2020). Lessons learned from early compassionate use of convalescent plasma on critically ill patients with Covid‐19. Transfusion. 60(10). 2210–2216. 18 indexed citations

3.

Dai, Mengyuan, Liyuan Tao, Zhen Chen, et al.. (2020). Influence of Cigarettes and Alcohol on the Severity and Death of COVID-19: A Multicenter Retrospective Study in Wuhan, China. Frontiers in Physiology. 11. 588553–588553. 26 indexed citations

4.

Xu, Xiao, Fen Ai, & Min Huang. (2020). Deceased serum bilirubin and albumin levels in the assessment of severity and mortality in patients with acute pancreatitis. International Journal of Medical Sciences. 17(17). 2685–2695. 23 indexed citations

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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