Ruying Fu

810 total citations · 1 hit paper
6 papers, 625 citations indexed

About

Ruying Fu is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruying Fu has authored 6 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruying Fu's work include Brain Metastases and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neonatal and fetal brain pathology (1 paper). Ruying Fu is often cited by papers focused on Brain Metastases and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neonatal and fetal brain pathology (1 paper). Ruying Fu collaborates with scholars based in China and United States. Ruying Fu's co-authors include Yamei Tang, Jin Jun Luo, Qingyu Shen, Pengfei Xu, Junjie Lei, Shijian Luo, Yanxia Huang, Huiqing Li, Chunyi Li and Wenli Chen and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, Oncotarget and Molecular Neurobiology.

In The Last Decade

Ruying Fu

6 papers receiving 624 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Phagocytosis of Microglia in the Central Nervous System Diseases

2014 504 citations Ruying Fu, Qingyu Shen et al. Molecular Neurobiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruying Fu China	4	417	195	159	149	72	6	625
Dan Swartzlander United States	6	286 0.7×	106 0.5×	188 1.2×	222 1.5×	59 0.8×	8	515
Jean-Philippe Michaud Canada	9	474 1.1×	251 1.3×	97 0.6×	278 1.9×	70 1.0×	11	673
Macy E. Zardeneta United States	2	483 1.2×	321 1.6×	352 2.2×	258 1.7×	61 0.8×	2	922
Sofie Kessels Belgium	7	283 0.7×	110 0.6×	292 1.8×	161 1.1×	36 0.5×	12	541
Hiramani Dhungana Finland	14	292 0.7×	210 1.1×	260 1.6×	100 0.7×	72 1.0×	23	703
Myung‐Soon Yang South Korea	8	303 0.7×	172 0.9×	181 1.1×	69 0.5×	153 2.1×	9	604
Juan García‐Revilla Spain	11	205 0.5×	171 0.9×	222 1.4×	161 1.1×	72 1.0×	18	620
Bryan Bollman United States	8	439 1.1×	338 1.7×	239 1.5×	312 2.1×	70 1.0×	11	984
Vikas Kaushal Canada	7	333 0.8×	90 0.5×	226 1.4×	116 0.8×	200 2.8×	8	679
Alexander A. Loboda United States	4	604 1.4×	390 2.0×	219 1.4×	319 2.1×	57 0.8×	5	897

Countries citing papers authored by Ruying Fu

Since Specialization

Citations

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

Fields of papers citing papers by Ruying Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruying Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruying Fu. A scholar is included among the top collaborators of Ruying Fu 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 Ruying Fu. Ruying Fu 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:

6 of 6 papers shown

1.

Luo, Shijian, Huiqing Li, Junjie Lei, et al.. (2019). Connectivity map identifies luteolin as a treatment option of ischemic stroke by inhibiting MMP9 and activation of the PI3K/Akt signaling pathway. Experimental & Molecular Medicine. 51(3). 1–11. 75 indexed citations

2.

Li, Chunyi, Junjie Lei, Huiqing Li, et al.. (2018). Edaravone attenuates neuronal apoptosis in hypoxic-ischemic brain damage rat model via suppression of TRAIL signaling pathway. The International Journal of Biochemistry & Cell Biology. 99. 169–177. 22 indexed citations

3.

Wu, Xiaoyan, Ruying Fu, Yamei Tang, et al.. (2018). Intravenous Thrombolysis for Stroke Patients with G6PD Deficiency. Journal of Stroke and Cerebrovascular Diseases. 27(7). 2026–2031. 3 indexed citations

4.

Li, Yi, Zhen Hu, Ruying Fu, et al.. (2016). Radiation-induced brachial plexopathy in patients with nasopharyngeal carcinoma: a retrospective study. Oncotarget. 7(14). 18887–18895. 20 indexed citations

5.

Fu, Ruying, Qingyu Shen, Pengfei Xu, Jin Jun Luo, & Yamei Tang. (2014). Phagocytosis of Microglia in the Central Nervous System Diseases. Molecular Neurobiology. 49(3). 1422–1434. 504 indexed citations breakdown →

6.

Shi, Xiaolei, Xiaoming Rong, Zichen Li, et al.. (2012). Radiation-induced cranial neuropathy in patients with nasopharyngeal carcinoma. Chinese Journal of Neuromedicine. 12(1). 72–75. 1 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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