Xiaolin Diao

455 citations
31 papers · 261 · h-index 9

Impact in

Papers in

Xiaolin Diao

28 papers receiving 259 citations

Peers

Xiaolin Diao
Comparison fields: 5 of 50
  • Health Informatics 10
  • Toxicology 21
  • Health Information Management 27
  • Nephrology 25
  • Critical Care and Intensive Care Medicine 16
Replace Xiujuan Chen with:
Xiujuan Chen China
Benjamin Skov Kaas‐Hansen Denmark
Erica A. Voss United States
Mou-Ze Liu China
Byungjin Choi South Korea
Stephen Skentzos United States
Massoud Toussi France
Christopher Martin Sauer United States
Piotr Jaroslaw Chmura Denmark
Bradley B. Brimhall United States
Xiaolin Diao relative to Xiujuan Chen China Xiujuan Chen's profile →
Citations per field
00.5×3.5×
Xiujuan Chen · 1×
Citations per year

Countries citing papers authored by Xiaolin Diao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 202134
3 202129
4 202017
5 202114
6 201814
7 202012
8 202112
9 20199
10 20228
11
Establishment and Validation of a Nomogram to Predict Hospital-Acquired Infection in Elderly Patients After Cardiac Surgery
20228
12 20238
13 20216
14 20236
15 20235
16 20234
17 20253
18 20233
19 20163
20 20173

About Xiaolin Diao

Xiaolin Diao is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biochemistry and Molecular Biology, having authored 31 papers that have together received 261 indexed citations. Recurring topics across this work include Surgical site infection prevention (3 papers), Blood transfusion and management (3 papers), Cardiac and Coronary Surgery Techniques (2 papers), Machine Learning in Healthcare (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Biomedical Text Mining and Ontologies (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Health Informatics (10 citations), Toxicology (21 citations), Health Information Management (27 citations), Nephrology (25 citations) and Critical Care and Intensive Care Medicine (16 citations). Xiaolin Diao has collaborated with scholars based in China and United States. Frequent co-authors include Wei Zhao, Fei Zhang, Bo Sun, Wei Zhao, Wei Zhao, Yuxin Wang, Jing Yuan, Yuefu Wang, Shuai Zhao and Yu Tian. Their work appears in journals such as BMC Medical Informatics and Decision Making, The Annals of Thoracic Surgery, Transfusion, Journal of Thoracic and Cardiovascular Surgery and International Journal of Medical Informatics.

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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