Yuting Lu

20 papers receiving 162 citations

Peers

Yuting Lu
Comparison fields: 5 of 57
  • Critical Care and Intensive Care Medicine 10
  • Radiology, Nuclear Medicine and Imaging 33
  • Surgery 39
  • Occupational Therapy 3
  • Health Informatics 1
Replace Elena Lucertini with:
Elena Lucertini Italy
Hindrik W. van der Werf Netherlands
P. Zum Vörde Sive Vörding Netherlands
G Kiss Hungary
Candice Kim United States
Rong Qin Zheng China
Mark A. Creager
Gino Zaccagna Italy
Ursula Rauch‐Kröhnert Germany
Yuting Lu relative to Elena Lucertini Italy Elena Lucertini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yuting Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuting Lu, 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 Yuting Lu Line = papers co-authored together Yuting Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202028
2 202023
3 202016
4 202215
5 202513
6 201712
7 20248
8 20238
9 20227
10 20227
11 20197
12 20215
13 20223
14 20232
15 20242
16 20172
17 20212
18 20211
19 20201
20 20221

About Yuting Lu

Yuting Lu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Occupational Therapy, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 163 indexed citations. Recurring topics across this work include Occupational Health and Performance (3 papers), Injury Epidemiology and Prevention (3 papers), Immune cells in cancer (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Peripheral Nerve Disorders (2 papers), Glioma Diagnosis and Treatment (2 papers), Orthopedic Surgery and Rehabilitation (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (10 citations), Radiology, Nuclear Medicine and Imaging (33 citations), Surgery (39 citations), Occupational Therapy (3 citations) and Health Informatics (1 citation). Yuting Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Erika D. Sears, Kevin C. Chung, Jessica I. Billig, Jung‐Sheng Chen, Yongzhao Shao, Jacob S. Nasser, Chang‐Fu Kuo, Jennifer F. Waljee, Qiong Gu and Adeyiza O. Momoh. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Journal Of Hand Surgery, Plastic & Reconstructive Surgery, Frontiers in Endocrinology and Liver Cancer.

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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