I‐Ting Tsai

1.8k citations
87 papers · 1.3k · h-index 19

Impact in

Papers in

I‐Ting Tsai

79 papers receiving 1.3k citations

Peers

I‐Ting Tsai
Comparison fields: 5 of 81
  • Nephrology 131
  • Endocrinology, Diabetes and Metabolism 118
  • Cardiology and Cardiovascular Medicine 121
  • Emergency Medicine 28
  • Epidemiology 122
Replace Kyung Eun Yun with:
Kyung Eun Yun South Korea
IRINA Y. SHALAUROVA United States
Young Hye Cho South Korea
Hongwei Li China
Karen Douglas United Kingdom
Roger K. Schindhelm Netherlands
Guozhe Sun China
Jiin Ahn South Korea
Hae‐Ryong Yun South Korea
Timothy J. Vittorio United States
I‐Ting Tsai relative to Kyung Eun Yun South Korea Kyung Eun Yun's profile →
Citations per field
00.5×2×4×5.6×
Kyung Eun Yun · 1×
Citations per year

Countries citing papers authored by I‐Ting Tsai

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ting Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Ting Tsai. 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 I‐Ting Tsai. The network helps show where I‐Ting Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021132
2 2020111
3 201782
4 201069
5 201360
6 202059
7 201349
8 202149
9 202042
10 201133
11 201533
12 201728
13 201527
14 201625
15 201424
16 201822
17 201221
18 201520
19 201619
20 201619

About I‐Ting Tsai

I‐Ting Tsai is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology, Emergency Medicine and Endocrinology, Diabetes and Metabolism, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Cardiovascular Disease and Adiposity (4 papers), Dialysis and Renal Disease Management (4 papers), Sepsis Diagnosis and Treatment (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Sleep and Work-Related Fatigue (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Acute Myocardial Infarction Research (2 papers). The work is most often cited by research in Nephrology (131 citations), Endocrinology, Diabetes and Metabolism (118 citations), Cardiology and Cardiovascular Medicine (121 citations), Emergency Medicine (28 citations) and Epidemiology (122 citations). I‐Ting Tsai has collaborated with scholars based in Taiwan and Honduras. Frequent co-authors include Fu‐Mei Chung, Wei‐Chin Hung, Yung‐Chuan Lu, Chao-Ping Wang, Teng‐Hung Yu, Yau‐Jiunn Lee, Cheuk‐Kwan Sun, Yin-Chou Hsu, Chia‐Chang Hsu and Cheng‐Ching Wu. Their work appears in journals such as International Journal of Medical Sciences, Scientific Reports, Clinica Chimica Acta, Cytokine and Clinical and investigative medicine.

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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