Chi D. Chu

861 citations
23 papers · 326 · h-index 10

Impact in

Papers in

Chi D. Chu

22 papers receiving 319 citations

Peers

Chi D. Chu
Comparison fields: 5 of 72
  • Nephrology 128
  • Geriatrics and Gerontology 29
  • Endocrinology, Diabetes and Metabolism 87
  • Transplantation 14
  • Cardiology and Cardiovascular Medicine 82
Replace Obinna Onodugo with:
Obinna Onodugo Nigeria
Agneta A. Pagels Sweden
K. Krishna Murthy United States
Anjali Tiwari United States
Ken Story United States
Jan Radford Australia
Louis‐Jean Vleming Netherlands
Roseanne E Billany United Kingdom
Julie A. Wright Nunes United States
Marina Wainstein Australia
Chi D. Chu relative to Obinna Onodugo Nigeria Obinna Onodugo's profile →
Citations per field
00.5×3.9×
Obinna Onodugo · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199373
2 202365
3 202141
4 202024
5 201919
6 202219
7 202214
8 202213
9 202310
10 20219
11 20208
12 20238
13 20205
14 20224
15
Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure.
20223
16 20222
17 20232
18 20202
19 20122
20 20241

About Chi D. Chu

Chi D. Chu is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, General Health Professions and Transplantation, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (8 papers), Blood Pressure and Hypertension Studies (7 papers), Dialysis and Renal Disease Management (7 papers), Diabetes Treatment and Management (5 papers), Patient-Provider Communication in Healthcare (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Heart Failure Treatment and Management (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Nephrology (128 citations), Geriatrics and Gerontology (29 citations), Endocrinology, Diabetes and Metabolism (87 citations), Transplantation (14 citations) and Cardiology and Cardiovascular Medicine (82 citations). Chi D. Chu has collaborated with scholars based in United States, Canada and Kenya. Frequent co-authors include Delphine S. Tuot, Catherine Hawes, Charles D. Phillips, John N. Morris, Neil R. Powe, Michael G. Shlipak, Michelle M. Estrella, Charles E. McCulloch, Julio A. Lamprea‐Montealegre and Yuxian Du. Their work appears in journals such as Kidney Medicine, JAMA Network Open, BMC Primary Care, American Journal of Kidney Diseases 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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