Jingjing Da
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
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- Magnesium in Health and Disease
Papers in
- Nephrology 17
- Dialysis and Renal Disease Management 12
- Parathyroid Disorders and Treatments 3
- Acute Kidney Injury Research 3
- Co-authors
- Yan Zha (31 shared papers)Fuxun Yu (9 shared papers)Rong Dong (13 shared papers)Jiali Yu (7 shared papers)Sinee Disthabanchong (1 shared paper)Xinfang Xie (1 shared paper)Myles Wolf (1 shared paper)Jicheng Lv (1 shared paper)
- Journals
- Scientific Reports (2 papers)Renal Failure (2 papers)Kidney & Blood Pressure Research (2 papers)Biomedicine & Pharmacotherapy (2 papers)Bioscience Reports (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Jingjing Da
44 papers receiving 427 citations
Peers
Comparison fields: 5 of 93
- Nephrology 159
- Nutrition and Dietetics 35
- Cancer Research 34
- Physiology 53
- Endocrinology, Diabetes and Metabolism 30
Countries citing papers authored by Jingjing Da
This map shows the geographic impact of Jingjing Da'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 Jingjing Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjing Da more than expected).
Fields of papers citing papers by Jingjing Da
This network shows the impact of papers produced by Jingjing Da. 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 Jingjing Da. The network helps show where Jingjing Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingjing Da, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 107 | |
| 2 | 2023 | 26 | |
| 3 | 2024 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2005 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 8 | |
| 18 | MCPIP is induced by cholesterol and participated in cholesterol-caused DNA damage in HUVEC. | 2015 | 8 |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Jingjing Da
Jingjing Da is a scholar working on Nephrology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 48 papers that have together received 431 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (12 papers), Regulation of Appetite and Obesity (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Parathyroid Disorders and Treatments (3 papers), Acute Kidney Injury Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Folate and B Vitamins Research (3 papers) and Macrophage Migration Inhibitory Factor (2 papers). The work is most often cited by research in Nephrology (159 citations), Nutrition and Dietetics (35 citations), Cancer Research (34 citations), Physiology (53 citations) and Endocrinology, Diabetes and Metabolism (30 citations). Jingjing Da has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Yan Zha, Fuxun Yu, Rong Dong, Jiali Yu, Sinee Disthabanchong, Xinfang Xie, Myles Wolf, Jicheng Lv, Jinwei Wang and Haiyan Wang. Their work appears in journals such as Scientific Reports, Renal Failure, Kidney & Blood Pressure Research, Biomedicine & Pharmacotherapy and Bioscience Reports.
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.