Ran‐hui Cha

1.3k citations
51 papers · 1.0k · h-index 19

Impact in

  • Nephrology top 2%
    • Acute Kidney Injury Research
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes

Papers in

Ran‐hui Cha

48 papers receiving 996 citations

Peers

Ran‐hui Cha
Comparison fields: 5 of 87
  • Nephrology 327
  • Transplantation 22
  • Infectious Diseases 119
  • Cardiology and Cardiovascular Medicine 124
  • Immunology 101
Replace Lukas Kairaitis with:
Lukas Kairaitis Australia
Dimitrios Memmos Greece
Valerie De Precigout France
Yaping Zhang China
Maxime Hoffmann France
Ludwig Patzer Germany
Karina Soto Portugal
Galip Güz Türkiye
Danyelle Romana Alves Rios Brazil
Vincenzo Sepe Italy
Ran‐hui Cha relative to Lukas Kairaitis Australia Lukas Kairaitis's profile →
Citations per field
00.5×2×4×5.6×
Lukas Kairaitis · 1×
Citations per year

Countries citing papers authored by Ran‐hui Cha

Since Specialization
Citations

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

Fields of papers citing papers by Ran‐hui Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran‐hui Cha. 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 Ran‐hui Cha. The network helps show where Ran‐hui Cha may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran‐hui Cha, 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 Ran‐hui Cha Line = papers co-authored together Ran‐hui Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201096
2 201683
3 201079
4 201178
5 201568
6 201052
7 202444
8 201641
9 201341
10 201737
11 201835
12 202128
13 201424
14 200822
15 201622
16 201621
17 202221
18 201520
19 201419
20 200915

About Ran‐hui Cha

Ran‐hui Cha is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Transplantation, Immunology and Physiology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (8 papers), Chronic Kidney Disease and Diabetes (7 papers), Blood Pressure and Hypertension Studies (6 papers), Cardiovascular Health and Disease Prevention (4 papers), COVID-19 Clinical Research Studies (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Nutrition and Health in Aging (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Nephrology (327 citations), Transplantation (22 citations), Infectious Diseases (119 citations), Cardiology and Cardiovascular Medicine (124 citations) and Immunology (101 citations). Ran‐hui Cha has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Yon Su Kim, Dong Ki Kim, Chun Soo Lim, Jung Pyo Lee, Seung Hee Yang, Suhnggwon Kim, Sun Moon Kim, Sang Youb Han, Hyoung‐Shik Shin and Sun Ae Yoon. Their work appears in journals such as Kidney Research and Clinical Practice, Journal of Korean Medical Science, Journal of Cellular and Molecular Medicine, Nephrology and Medicine.

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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