Yu‐Ling Lai

35 papers receiving 652 citations

Peers

Yu‐Ling Lai
Comparison fields: 5 of 91
  • Biological Psychiatry 45
  • Behavioral Neuroscience 32
  • Endocrinology, Diabetes and Metabolism 128
  • Obstetrics and Gynecology 51
  • Pediatrics, Perinatology and Child Health 101
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Jie Ping China
Natália R. Barbaro Brazil
Melek Öztürk Türkiye
Jing Cheng China
Maimaiti Yisireyili Japan
Andrea Tumminia Italy
Amgad Zaky Australia
Panagiotis Giannogonas Greece
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Countries citing papers authored by Yu‐Ling Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ling Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu‐Ling Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Ling Lai Line = papers co-authored together Yu‐Ling Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 199952
3 201846
4 200643
5 201040
6 201738
7 201838
8 200937
9 201832
10 201226
11 202225
12 201724
13 202321
14
Endoscopic ultrasonography to study the causes of extragastric compression mimicking gastric submucosal tumor.
200116
15 202215
16
Endoscopic ultrasonography in the differential diagnosis of giant gastric folds.
199914
17 200913
18 202312
19 199912
20 199811

About Yu‐Ling Lai

Yu‐Ling Lai is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Epidemiology, Obstetrics and Gynecology and Surgery, having authored 37 papers that have together received 664 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Alcohol Consumption and Health Effects (4 papers), Birth, Development, and Health (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Neonatal Respiratory Health Research (4 papers), Neonatal and fetal brain pathology (3 papers), Neonatal and Maternal Infections (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Behavioral Neuroscience (32 citations), Endocrinology, Diabetes and Metabolism (128 citations), Obstetrics and Gynecology (51 citations) and Pediatrics, Perinatology and Child Health (101 citations). Yu‐Ling Lai has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Stacey L. Abby, Lei Gao, Peng Huang, Chuying Zhou, Zhiping Lv, Anthony M. Vintzileos, Shao Hui Huang, Xuegang Sun, John C. Smulian and Susan Shen‐Schwarz. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Current Medical Research and Opinion, Obstetrics and Gynecology, Evidence-based Complementary and Alternative Medicine and Oncology Reports.

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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