Yao-Ping Lin

524 citations
19 papers · 394 indexed · h-index 13

Impact in

Papers in

Yao-Ping Lin

19 papers receiving 388 citations

Peers

Yao-Ping Lin
Comparison fields: 5 of 72
  • Nephrology 224
  • Emergency Medical Services 54
  • Cardiology and Cardiovascular Medicine 171
  • Hematology 49
  • Surgery 96
Replace C. Granolleras with:
C. Granolleras France
Fulvio Floccari Italy
Konstantinos Mavromatidis Greece
Gerasimos Bamichas Greece
Xiaoqiang Ding China
Aydın Ünal Türkiye
Susanne Kron Germany
J.-C. Terrat France
Yoshifumi Maeno Japan
Philippe Madhoun Belgium
Yao-Ping Lin relative to C. Granolleras France C. Granolleras's profile →
Citations per field
00.5×10×15.5×
C. Granolleras · 1×
Citations per year

Countries citing papers authored by Yao-Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yao-Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao-Ping Lin. 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 Yao-Ping Lin. The network helps show where Yao-Ping Lin may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 202021
2 202010
3 20195
4 201915
5 201712
6 201727
7 20145
8 201334
9 201219
10 201233
11 201216
12 20115
13 200832
14 200632
15 20061
16 200516
17 200353
18 200326
19 200232

About Yao-Ping Lin

Yao-Ping Lin is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Emergency Medical Services, Hematology and Surgery, having authored 19 papers that have together received 394 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (11 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Blood Pressure and Hypertension Studies (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Muscle and Compartmental Disorders (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Nephrology (224 citations), Emergency Medical Services (54 citations), Cardiology and Cardiovascular Medicine (171 citations), Hematology (49 citations) and Surgery (96 citations). Yao-Ping Lin has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Wen‐Chung Yu, Wu-Chang Yang, Chen-Huan Chen, Der‐Cherng Tarng, Chih‐Yu Yang, Szu-Chun Hung, Philip Yu‐An Ding, I‐Feng Lin, Chih-Cheng Hsu and Shao‐Yuan Chuang. Their work appears in journals such as Hypertension, American Journal of Kidney Diseases, Toxins, Clinical Journal of the American Society of Nephrology and Frontiers in Bioengineering and Biotechnology.

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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