K.-H. Shu

640 citations
38 papers · 516 · h-index 12

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes

Papers in

    • Renal Transplantation Outcomes and Treatments 10
    • Organ Transplantation Techniques and Outcomes 3

K.-H. Shu

38 papers receiving 506 citations

Peers

K.-H. Shu
Comparison fields: 5 of 64
  • Transplantation 80
  • Nephrology 125
  • Hepatology 32
  • Infectious Diseases 43
  • Surgery 98
Replace M. Messina with:
M. Messina Italy
Gustavo Martínez-Mier Mexico
Francesca Tinti Italy
Johnny Sayegh France
Birgitta Kranz Germany
O Otsubo Japan
Marianne Wigger Germany
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Carole Philipponnet France
Yoshimitsu Gotoh Japan
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Citations per field
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Citations per year

Countries citing papers authored by K.-H. Shu

Since Specialization
Citations

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

Fields of papers citing papers by K.-H. Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-H. Shu. 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 K.-H. Shu. The network helps show where K.-H. Shu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006150
2 201237
3 201434
4
Malignancy following renal transplantation.
199824
5 200823
6 201023
7 200718
8 201416
9 200413
10 201412
11 201412
12 201412
13 201011
14 200811
15 201211
16 20149
17 20129
18 20129
19 20127
20 20147

About K.-H. Shu

K.-H. Shu is a scholar working on Transplantation, Surgery, Nephrology, Epidemiology and Infectious Diseases, having authored 38 papers that have together received 516 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Liver physiology and pathology (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Renal and Vascular Pathologies (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers) and Neurological Complications and Syndromes (2 papers). The work is most often cited by research in Transplantation (80 citations), Nephrology (125 citations), Hepatology (32 citations), Infectious Diseases (43 citations) and Surgery (98 citations). K.-H. Shu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Ming‐Ju Wu, Mei‐Chin Wen, C.-H. Cheng, Ya‐Wen Chuang, Yuan‐Yow Chiou, Ming‐Jer Tang, Shih‐Ting Huang, Tung‐Min Yu, Cheng‐Hsu Chen and Hao‐Chung Ho. Their work appears in journals such as Transplantation Proceedings, Kidney International, Nephrology Dialysis Transplantation, Clinical Nephrology and European Journal of Clinical Microbiology & Infectious Diseases.

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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