C.-H. Cheng

600 citations
31 papers · 440 indexed · h-index 12

Impact in

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

Papers in

C.-H. Cheng

30 papers receiving 430 citations

Peers

C.-H. Cheng
Comparison fields: 5 of 67
  • Transplantation 63
  • Nephrology 89
  • Nutrition and Dietetics 96
  • Critical Care and Intensive Care Medicine 25
  • Physiology 92
Replace Nisha Davé with:
Nisha Davé United States
Daniel N. Wochos United States
Marinus H. de Keijzer Netherlands
Jan Willem Haveman Netherlands
Yener Koç Türkiye
Maurice Laville France
Jan Kurkus Sweden
Amin Roshdy Soliman Egypt
Jan Fertmann Germany
Beth A. Vogt United States
C.-H. Cheng relative to Nisha Davé United States Nisha Davé's profile →
Citations per field
00.5×3.6×
Nisha Davé · 1×
Citations per year

Countries citing papers authored by C.-H. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by C.-H. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20144
3 201433
4 20147
5 201236
6 201211
7 20125
8 20129
9 201213
10 20127
11 20128
12 201021
13 201010
14 200824
15 200811
16 200812
17 20086
18 200619
19 200413
20 200064

About C.-H. Cheng

C.-H. Cheng is a scholar working on Transplantation, Nephrology, Hepatology, Toxicology and Physiology, having authored 31 papers that have together received 440 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Nutrition and Health in Aging (4 papers), Liver Disease and Transplantation (3 papers), Transplantation: Methods and Outcomes (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Neurological Complications and Syndromes (3 papers), Renal and Vascular Pathologies (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Transplantation (63 citations), Nephrology (89 citations), Nutrition and Dietetics (96 citations), Critical Care and Intensive Care Medicine (25 citations) and Physiology (92 citations). C.-H. Cheng has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include K.-H. Shu, Ya‐Wen Chuang, Ming‐Ju Wu, Yi‐Chia Huang, Shih‐Ting Huang, Cheng‐Hsu Chen, Cheng‐Chieh Yen, Chia‐Hung Chen, Tung‐Min Yu and Mei‐Chin Wen. Their work appears in journals such as Nephrology Dialysis Transplantation, Clinical Nutrition, Transplantation Proceedings, Cardiovascular Research and Diabetologia.

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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