Yu Lingna

456 total citations
2 papers, 5 citations indexed

About

Yu Lingna is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Clinical Psychology. According to data from OpenAlex, Yu Lingna has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Clinical Psychology. Recurrent topics in Yu Lingna's work include Infection Control and Ventilation (1 paper), Neonatal Respiratory Health Research (1 paper) and Neonatal and fetal brain pathology (1 paper). Yu Lingna is often cited by papers focused on Infection Control and Ventilation (1 paper), Neonatal Respiratory Health Research (1 paper) and Neonatal and fetal brain pathology (1 paper). Yu Lingna collaborates with scholars based in China. Yu Lingna's co-authors include Zhenyu Liang, Huiyi Li, Li Tang, Lishan Huang and Li Tang and has published in prestigious journals such as International Health and INQUIRY The Journal of Health Care Organization Provision and Financing.

In The Last Decade

Yu Lingna

2 papers receiving 5 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Lingna China	2	2	1	1	1	1	2	5
J L García Galocha Spain	2	2 1.0×					3	2
Benjamin Jelley United Kingdom	1	2 1.0×					2	3
R Laurente United Kingdom	2	2 1.0×					3	3
Daniel Forsha United States	2	2 1.0×					2	2
Aia Mehdi United Kingdom	2	2 1.0×					3	2
K. Roberts United States	2	2 1.0×			1 1.0×		3	3
Giuseppe Sica Italy	2	2 1.0×					5	4
Marcin Malka Austria	2	2 1.0×					2	4
Pedro López-Morales Spain	1	2 1.0×					2	2
C Bezede Romania	2	2 1.0×					4	2

Countries citing papers authored by Yu Lingna

Since Specialization

Citations

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

Fields of papers citing papers by Yu Lingna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lingna

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

All Works

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2 of 2 papers shown

1.

Liang, Zhenyu, et al.. (2021). A nomogram to predict in-hospital mortality of neonates admitted to the intensive care unit. International Health. 13(6). 633–639. 3 indexed citations

2.

Huang, Lishan, et al.. (2021). The Effect of Staggered Shift Scheduling Mode on Nurses in the COVID-19 Isolation Ward- A Cross Sectional Study. INQUIRY The Journal of Health Care Organization Provision and Financing. 58. 1144550055–1144550055. 2 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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