Ting-Yu Su

586 citations
26 papers · 416 · h-index 11

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies
    • Acute Kidney Injury Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Chronic Kidney Disease and Diabetes 8
    • Renal Diseases and Glomerulopathies 4
    • Dialysis and Renal Disease Management 4
    • Acute Kidney Injury Research 3

Ting-Yu Su

25 papers receiving 414 citations

Peers

Ting-Yu Su
Comparison fields: 5 of 94
  • Nephrology 127
  • Internal Medicine 26
  • Hematology 55
  • Cardiology and Cardiovascular Medicine 61
  • Endocrinology, Diabetes and Metabolism 44
Replace Chia‐Lin Wu with:
Chia‐Lin Wu Taiwan
Justin Shane Hooper United States
Nan Xu China
Yaoming Song China
U. Baurmeister Germany
Xiaoli Li China
Yoshio Nagake Japan
Yusi Chen China
Lorenzo Di Liberato Italy
Uğur Önsel Türk Türkiye
Ting-Yu Su relative to Chia‐Lin Wu Taiwan Chia‐Lin Wu's profile →
Citations per field
00.5×
Chia‐Lin Wu · 1×
Citations per year

Countries citing papers authored by Ting-Yu Su

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Yu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017102
2 201878
3 201732
4 201726
5 202322
6 202220
7 201916
8 201714
9 202314
10 201612
11 201711
12 202310
13 20159
14 20189
15 20216
16 20216
17 20216
18 20215
19 20235
20 20243

About Ting-Yu Su

Ting-Yu Su is a scholar working on Nephrology, Hematology, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 416 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (8 papers), Renal Diseases and Glomerulopathies (4 papers), Diet and metabolism studies (4 papers), Dialysis and Renal Disease Management (4 papers), Acute Kidney Injury Research (3 papers), Carbon Dioxide Capture Technologies (3 papers), Metabolism and Genetic Disorders (2 papers) and Chemical Looping and Thermochemical Processes (2 papers). The work is most often cited by research in Nephrology (127 citations), Internal Medicine (26 citations), Hematology (55 citations), Cardiology and Cardiovascular Medicine (61 citations) and Endocrinology, Diabetes and Metabolism (44 citations). Ting-Yu Su has collaborated with scholars based in China, Taiwan and Thailand. Frequent co-authors include Xiangmei Chen, Mengjie Huang, Ri‐bao Wei, Yang Wang, Qingping Li, Xi Yang, Ping Li, Yang Wang, Ping Di and Qingping Li. Their work appears in journals such as BMJ Open, Epilepsy & Behavior, Nutrients, International Nursing Review and Chronic Illness.

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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