Jay C. Jha
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research
Papers in
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- Advanced Glycation End Products research 15
-
- Chronic Kidney Disease and Diabetes 7
- Co-authors
- Karin Jandeleit‐DahmMark E. CooperBryna S.M. ChowStephen P. GrayRhian M. TouyzHarald SchmidtVicki Thallas‐BonkeFlorence Ho
- Journals
- Diabetes (4 papers)Clinical Science (4 papers)Diabetologia (4 papers)Hypertension (2 papers)Biomedicines (2 papers)
- Partner nations
- AustraliaGermanyUnited Kingdom
In The Last Decade
Jay C. Jha
36 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Nephrology 599
- Clinical Biochemistry 512
- Endocrinology, Diabetes and Metabolism 453
- Immunology 460
- Physiology 519
Countries citing papers authored by Jay C. Jha
This map shows the geographic impact of Jay C. Jha'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 Jay C. Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C. Jha more than expected).
Fields of papers citing papers by Jay C. Jha
This network shows the impact of papers produced by Jay C. Jha. 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 Jay C. Jha. The network helps show where Jay C. Jha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay C. Jha, 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 | 2022 | 15 | |
| 2 | 2022 | 10 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 40 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 121 | |
| 11 | 2017 | 89 | |
| 12 | Diabetes and Kidney Disease: Role of Oxidative Stress Hit paper breakdown → | 2016 | 518 |
| 13 | 2015 | 126 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 295 | |
| 16 | 2014 | 30 | |
| 17 | 2014 | 87 | |
| 18 | 2013 | 155 | |
| 19 | 2012 | 97 | |
| 20 | A study of oxidative stress, antioxidant status and lipid profile in diabetic patient in the western region of Nepal. | 2008 | 15 |
About Jay C. Jha
Jay C. Jha is a scholar working on Clinical Biochemistry, Nephrology, Immunology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (16 papers), Advanced Glycation End Products research (15 papers), Nitric Oxide and Endothelin Effects (12 papers), Chronic Kidney Disease and Diabetes (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Retinal Diseases and Treatments (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (599 citations), Clinical Biochemistry (512 citations), Endocrinology, Diabetes and Metabolism (453 citations), Immunology (460 citations) and Physiology (519 citations). Jay C. Jha has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Karin Jandeleit‐Dahm, Mark E. Cooper, Bryna S.M. Chow, Stephen P. Gray, Rhian M. Touyz, Harald Schmidt, Vicki Thallas‐Bonke, Florence Ho, Shinji Hagiwara and Phillip Kantharidis. Their work appears in journals such as Diabetes, Clinical Science, Diabetologia, Hypertension and Biomedicines.
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.