Thida C. Tan

1.6k citations
45 papers · 860 · h-index 16

Impact in

  • Nephrology top 1%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies
    • Trauma, Hemostasis, Coagulopathy, Resuscitation

Papers in

    • Acute Kidney Injury Research 9
    • Chronic Kidney Disease and Diabetes 4
    • Renal Diseases and Glomerulopathies 2
    • Dialysis and Renal Disease Management 2
    • Heart Failure Treatment and Management 9
    • Cardiovascular Function and Risk Factors 4

Thida C. Tan

39 papers receiving 843 citations

Peers

Thida C. Tan
Comparison fields: 5 of 69
  • Nephrology 460
  • Critical Care and Intensive Care Medicine 41
  • Cardiology and Cardiovascular Medicine 168
  • Emergency Medicine 41
  • Transplantation 9
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Citations per year

Countries citing papers authored by Thida C. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Thida C. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thida C. Tan. 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 Thida C. Tan. The network helps show where Thida C. Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 2018119
3 201876
4 201554
5 201845
6 202142
7 201940
8 201939
9 202232
10 202226
11 201825
12 201821
13 202020
14 201920
15 202019
16 201715
17 202015
18
Sudden unexplained death syndrome. A review and update.
199213
19 200712
20 202310

About Thida C. Tan

Thida C. Tan is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology, General Health Professions and Infectious Diseases, having authored 45 papers that have together received 860 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (9 papers), Acute Kidney Injury Research (9 papers), Chronic Kidney Disease and Diabetes (4 papers), Cardiovascular Function and Risk Factors (4 papers), Chronic Disease Management Strategies (2 papers), Influenza Virus Research Studies (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Nephrology (460 citations), Critical Care and Intensive Care Medicine (41 citations), Cardiology and Cardiovascular Medicine (168 citations), Emergency Medicine (41 citations) and Transplantation (9 citations). Thida C. Tan has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Alan S. Go, Jingrong Yang, Chi‐yuan Hsu, Kathleen D. Liu, Sijie Zheng, Juan D. Ordoñez, Rishi Parikh, Leonid Pravoverov, Grace H. Tabada and David V. Glidden. Their work appears in journals such as BMC Nephrology, PLoS ONE, Journal of the American College of Cardiology, American Heart Journal and Journal of Cardiac Failure.

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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