Caroline Gluck
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Transplantation top 10%
Papers in
- Nephrology 10
- Chronic Kidney Disease and Diabetes 7
- Renal Diseases and Glomerulopathies 3
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- Epigenetics and DNA Methylation 4
- Co-authors
- Katalin Suszták (6 shared papers)Michael W. J. Cleeter (1 shared paper)Nicholas Wood (1 shared paper)Kai‐Yin Chau (1 shared paper)Jonathan M. Cooper (1 shared paper)Derralynn Hughes (1 shared paper)Michael R. Duchen (1 shared paper)Atul Mehta (1 shared paper)
- Journals
- Pediatric Nephrology (3 papers)Clinical Kidney Journal (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)Journal of the American Society of Nephrology (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Caroline Gluck
13 papers receiving 471 citations
Peers
Comparison fields: 5 of 62
- Nephrology 160
- Transplantation 21
- Neurology 91
- Physiology 148
- Physiology 24
Countries citing papers authored by Caroline Gluck
This map shows the geographic impact of Caroline Gluck'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 Caroline Gluck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Gluck more than expected).
Fields of papers citing papers by Caroline Gluck
This network shows the impact of papers produced by Caroline Gluck. 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 Caroline Gluck. The network helps show where Caroline Gluck may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Gluck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 167 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 59 | |
| 4 | 2019 | 59 | |
| 5 | 2018 | 47 | |
| 6 | 2019 | 25 | |
| 7 | 2017 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2020 | 0 | |
| 16 | 2025 | 0 |
About Caroline Gluck
Caroline Gluck is a scholar working on Nephrology, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Epigenetics and DNA Methylation (4 papers), Renal Diseases and Glomerulopathies (3 papers), Diabetes and associated disorders (2 papers), Genetic Syndromes and Imprinting (2 papers), Ethics and Legal Issues in Pediatric Healthcare (1 paper), Complement system in diseases (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Nephrology (160 citations), Transplantation (21 citations), Neurology (91 citations), Physiology (148 citations) and Physiology (24 citations). Caroline Gluck has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Katalin Suszták, Michael W. J. Cleeter, Nicholas Wood, Kai‐Yin Chau, Jonathan M. Cooper, Derralynn Hughes, Michael R. Duchen, Atul Mehta, John Hardy and Anthony H.V. Schapira. Their work appears in journals such as Pediatric Nephrology, Clinical Kidney Journal, Clinical Journal of the American Society of Nephrology, Journal of the American Society of Nephrology and Kidney International.
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.