Chi D. Chu

833 citations
22 papers · 278 · h-index 10

Impact in

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

Papers in

Chi D. Chu

22 papers receiving 274 citations

Peers

Chi D. Chu
Comparison fields: 5 of 41
  • Nephrology 116
  • Transplantation 11
  • Endocrinology, Diabetes and Metabolism 61
  • Cardiology and Cardiovascular Medicine 50
  • Family Practice 2
Replace Salvatore Barone with:
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Rob R. Quinn Canada
Regina Jordan United States
Keith McCullough United Kingdom
Rakesh Singh United States
Gillian Eaglestone United Kingdom
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Chi D. Chu relative to Salvatore Barone United Kingdom Salvatore Barone's profile →
Citations per field
00.5×3.5×
Salvatore Barone · 1×
Citations per year

Countries citing papers authored by Chi D. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chi D. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi D. Chu. 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 Chi D. Chu. The network helps show where Chi D. Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202373
2 202145
3 202025
4 202222
5 201921
6 202214
7 202214
8 202312
9 202310
10 202110
11 20208
12 20205
13 20224
14
Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure.
20223
15 20122
16 20222
17 20232
18 20202
19 20241
20 20091

About Chi D. Chu

Chi D. Chu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, General Health Professions, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 278 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Diabetes Treatment and Management (3 papers), Blood Pressure and Hypertension Studies (2 papers), Dialysis and Renal Disease Management (2 papers), Healthcare Systems and Technology (2 papers), Patient-Provider Communication in Healthcare (2 papers), Chronic Disease Management Strategies (1 paper) and Linguistic Variation and Morphology (1 paper). The work is most often cited by research in Nephrology (116 citations), Transplantation (11 citations), Endocrinology, Diabetes and Metabolism (61 citations), Cardiology and Cardiovascular Medicine (50 citations) and Family Practice (2 citations). Chi D. Chu has collaborated with scholars based in United States, Canada and Kenya. Frequent co-authors include Delphine S. Tuot, Michael G. Shlipak, Neil R. Powe, Michelle M. Estrella, Charles E. McCulloch, Yuxian Du, Rakesh Singh, Julio A. Lamprea‐Montealegre, Sheldon X. Kong and Todd Williamson. Their work appears in journals such as Kidney Medicine, American Journal of Kidney Diseases, JAMA Network Open, BMC Primary Care and American Journal of Nephrology.

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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