Ying Feng

60 total papers · 578 total citations
30 papers, 374 citations indexed

About

Ying Feng is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Ying Feng has authored 30 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Hepatology. Recurrent topics in Ying Feng's work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (4 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Ying Feng is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (4 papers) and Endometrial and Cervical Cancer Treatments (4 papers). Ying Feng collaborates with scholars based in China, Netherlands and Germany. Ying Feng's co-authors include Xinghuan Wang, Zhiyong Peng, Zhi Mao, Xian‐Tao Zeng, Bo Chen, Hui Xiang, Jianying Huang, Xuequn Ren, Jianyuan Wu and Yan Xu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Medicine.

In The Last Decade

Ying Feng

25 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ying Feng	80	76	63	55	53	30	374
Jens Helby	66 0.8×	44 0.6×	41 0.7×	102 1.9×	64 1.2×	20	420
Emmanuelle Jeanpierre	58 0.7×	28 0.4×	66 1.0×	55 1.0×	47 0.9×	33	407
Arnaud Ferraris	87 1.1×	55 0.7×	46 0.7×	32 0.6×	24 0.5×	27	350
Almudena López‐Sampalo	51 0.6×	74 1.0×	29 0.5×	27 0.5×	22 0.4×	34	359
Carole Philipponnet	69 0.9×	20 0.3×	62 1.0×	70 1.3×	136 2.6×	35	378
Christopher Clardy	95 1.2×	26 0.3×	84 1.3×	61 1.1×	41 0.8×	17	404
Hongyan Li	34 0.4×	65 0.9×	33 0.5×	61 1.1×	38 0.7×	37	365
Lori A. Holle	46 0.6×	63 0.8×	45 0.7×	51 0.9×	150 2.8×	23	439
Yu Wang	45 0.6×	93 1.2×	58 0.9×	34 0.6×	74 1.4×	27	349
G. Fleischhack	73 0.9×	68 0.9×	23 0.4×	49 0.9×	73 1.4×	18	395

Countries citing papers authored by Ying Feng

Since Specialization

Citations

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

Fields of papers citing papers by Ying Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Feng

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

All Works

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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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