Yaling Feng

26 total papers · 622 total citations
19 papers, 486 citations indexed

About

Yaling Feng is a scholar working on Obstetrics and Gynecology, Infectious Diseases and Surgery. According to data from OpenAlex, Yaling Feng has authored 19 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Obstetrics and Gynecology, 4 papers in Infectious Diseases and 3 papers in Surgery. Recurrent topics in Yaling Feng's work include Pregnancy and preeclampsia studies (11 papers), Tuberculosis Research and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Yaling Feng is often cited by papers focused on Pregnancy and preeclampsia studies (11 papers), Tuberculosis Research and Epidemiology (3 papers) and Birth, Development, and Health (3 papers). Yaling Feng collaborates with scholars based in China, Taiwan and United States. Yaling Feng's co-authors include Jianjuan Xu, Yanfang Gu, Yue He, Jianxia Wang, Heng Zhang, Minghua Chen, Yongxiang Yin, Hua Yuan, Huan Liu and Qin Zhou and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and BMC Public Health.

In The Last Decade

Yaling Feng

18 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Yaling Feng	224	176	167	105	83	19	486
Heather Yvonne Small	142 0.6×	109 0.6×	85 0.5×	69 0.7×	93 1.1×	22	462
Anita Kramer	307 1.4×	100 0.6×	48 0.3×	221 2.1×	133 1.6×	23	500
Jinfa Huang	316 1.4×	96 0.5×	69 0.4×	114 1.1×	44 0.5×	29	520
Sampada Kallol	237 1.1×	126 0.7×	35 0.2×	161 1.5×	58 0.7×	21	405
F. Krauer	98 0.4×	57 0.3×	65 0.4×	130 1.2×	32 0.4×	27	530
Antonín Libra	101 0.5×	129 0.7×	34 0.2×	179 1.7×	35 0.4×	22	541
Ming Zhang	336 1.5×	89 0.5×	63 0.4×	107 1.0×	86 1.0×	21	535
Sarah J. Delforce	230 1.0×	59 0.3×	29 0.2×	165 1.6×	100 1.2×	27	416
Fengfeng Zhu	261 1.2×	79 0.4×	26 0.2×	109 1.0×	68 0.8×	19	487
G Turowski	314 1.4×	42 0.2×	36 0.2×	244 2.3×	96 1.2×	31	444

Countries citing papers authored by Yaling Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yaling Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaling Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yaling Feng. A scholar is included among the top collaborators of Yaling 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 Yaling Feng. Yaling 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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