Hua Gan
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
-
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Cell death mechanisms and regulation 1
- Genomics, phytochemicals, and oxidative stress 1
-
- Vitamin D Research Studies 2
- Co-authors
- Xu-shun Jiang (4 shared papers)Xiaogang Du (4 shared papers)Xuemei Chen (3 shared papers)Yunfeng Xia (6 shared papers)Ting Liu (2 shared papers)Xunjia Li (3 shared papers)Wei Hua (1 shared paper)Yuxuan Wang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Renal Failure (2 papers)Journal of Vascular Surgery Venous and Lymphatic Disorders (1 paper)Frontiers in Medicine (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaNetherlands
In The Last Decade
Hua Gan
16 papers receiving 278 citations
Peers
Comparison fields: 5 of 62
- Nephrology 56
- Biochemistry 25
- Clinical Biochemistry 19
- Pathology and Forensic Medicine 36
- Epidemiology 52
Countries citing papers authored by Hua Gan
This map shows the geographic impact of Hua Gan'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 Hua Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Gan more than expected).
Fields of papers citing papers by Hua Gan
This network shows the impact of papers produced by Hua Gan. 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 Hua Gan. The network helps show where Hua Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Gan, 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 | 2020 | 67 | |
| 2 | 2020 | 53 | |
| 3 | 2015 | 34 | |
| 4 | 2018 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2020 | 10 | |
| 9 | 2012 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2023 | 0 |
About Hua Gan
Hua Gan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Nephrology and Oncology, having authored 18 papers that have together received 280 indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (2 papers), Chemokine receptors and signaling (2 papers), Vitamin D Research Studies (2 papers), Vitamin C and Antioxidants Research (1 paper), Inflammatory mediators and NSAID effects (1 paper), Cell death mechanisms and regulation (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Nephrology (56 citations), Biochemistry (25 citations), Clinical Biochemistry (19 citations), Pathology and Forensic Medicine (36 citations) and Epidemiology (52 citations). Hua Gan has collaborated with scholars based in China and Netherlands. Frequent co-authors include Xu-shun Jiang, Xiaogang Du, Xuemei Chen, Yunfeng Xia, Ting Liu, Xunjia Li, Wei Hua, Yuxuan Wang, Yongjun Zhu and Lin Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Renal Failure, Journal of Vascular Surgery Venous and Lymphatic Disorders, Frontiers in Medicine and Cell Death and Disease.
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.