Junlong Hu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Ferroptosis and cancer prognosis
Papers in
- Genetics 4
- Mesenchymal stem cell research 4
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- Acute Kidney Injury Research 3
- Co-authors
- Junjie Sun (7 shared papers)Zhenwei Ge (6 shared papers)Baocai Wang (6 shared papers)Xiliang Zhu (5 shared papers)Xiaozhong Li (3 shared papers)Yanhong Li (3 shared papers)Zhenjiang Bai (3 shared papers)Guoping Lü (2 shared papers)
In The Last Decade
Junlong Hu
21 papers receiving 664 citations
Junlong Hu's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 80
- Pulmonary and Respiratory Medicine 152
- Genetics 39
- Nephrology 35
- Drug Discovery 1
Countries citing papers authored by Junlong Hu
This map shows the geographic impact of Junlong Hu'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 Junlong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Hu more than expected).
Fields of papers citing papers by Junlong Hu
This network shows the impact of papers produced by Junlong Hu. 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 Junlong Hu. The network helps show where Junlong Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlong Hu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human umbilical cord blood–derived MSCs exosome attenuate myocardial injury by inhibiting ferroptosis in acute myocardial infarction mice Hit paper breakdown → | 2020 | 286 |
| 2 | Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study Hit paper breakdown → | 2024 | 129 |
| 3 | 2019 | 63 | |
| 4 | 2020 | 55 | |
| 5 | 2020 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2024 | 22 | |
| 8 | 2018 | 17 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2014 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2022 | 1 |
About Junlong Hu
Junlong Hu is a scholar working on Genetics, Nephrology, Oral Surgery, Cardiology and Cardiovascular Medicine and Surgery, having authored 23 papers that have together received 678 indexed citations. Recurring topics across this work include Cardiac and Coronary Surgery Techniques (5 papers), Mesenchymal stem cell research (4 papers), Acute Kidney Injury Research (3 papers), Endodontics and Root Canal Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), Cardiac Valve Diseases and Treatments (2 papers), Circular RNAs in diseases (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Cancer Research (80 citations), Pulmonary and Respiratory Medicine (152 citations), Genetics (39 citations), Nephrology (35 citations) and Drug Discovery (1 citation). Junlong Hu has collaborated with scholars based in China, Sweden and Russia. Frequent co-authors include Junjie Sun, Zhenwei Ge, Baocai Wang, Xiliang Zhu, Xiaozhong Li, Yanhong Li, Zhenjiang Bai, Guoping Lü, Jiao Chen and Huiwen Li. Their work appears in journals such as Pediatric Research, BMJ, EClinicalMedicine, Aesthetic Plastic Surgery and Cell Biology and Toxicology.
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.