Ya‐Chung Tian

4.4k citations
147 papers · 3.3k indexed · h-index 33
Topics
Acute Kidney Injury Research (28 papers)Dialysis and Renal Disease Management (19 papers)Leptospirosis research and findings (18 papers)

In The Last Decade

Ya‐Chung Tian

142 papers receiving 3.2k citations

Peers

Ya‐Chung Tian
Comparison fields: 5 of 134
  • Nephrology 906
  • Surgery 634
  • Biomedical Engineering 565
  • Epidemiology 548
  • Molecular Biology 476
Replace Ming‐Yang Chang with:
Ming‐Yang Chang Taiwan
Hans Köhler Germany
Jerry Yee United States
Ralf Schindler Germany
J. S. Cameron United Kingdom
C. Erik Hack Netherlands
James S. O’Donnell Ireland
Chih‐Hsiang Chang Taiwan
G Fauré France
Frédéric Lioté France
Ya‐Chung Tian relative to Ming‐Yang Chang Taiwan Ming‐Yang Chang's profile →
Citations per field
00.5×1.5×
Ming‐Yang Chang · 1×
Citations per year

Countries citing papers authored by Ya‐Chung Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Chung Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Chung Tian. 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 Ya‐Chung Tian. The network helps show where Ya‐Chung Tian may publish in the future.

Co-authorship network of co-authors of Ya‐Chung Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Chung Tian. A scholar is included among the top collaborators of Ya‐Chung Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya‐Chung Tian. Ya‐Chung Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 0
5 17
6 8
7 10
8 3
9 47
10 15
11 1
12 5
13 17
14 33
15 20
16 10
17 20
18 23
19 9
20
Sequential Organ Failure Assessment Score Predicts 3-Month Mortality after Molecular Adsorbent Recirculating System Dialysis
1

About Ya‐Chung Tian

Ya‐Chung Tian is a scholar working on Nephrology, Parasitology and Hepatology, having authored 147 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (28 papers), Dialysis and Renal Disease Management (19 papers) and Leptospirosis research and findings (18 papers). The work is most often cited by research in Nephrology (906 citations), Parasitology (361 citations) and Hepatology (347 citations). Ya‐Chung Tian has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ming‐Yang Chang, Chih‐Hsiang Chang, Yung‐Chang Chen, Chih‐Wei Yang, Ji‐Tseng Fang, Chang‐Chyi Jenq, Cheng‐Chieh Hung, Chan‐Yu Lin, Chih‐Wei Yang and Pei‐Chun Fan. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of The Electrochemical Society.

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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