Long Jiang
Impact in
- Biotechnology top 10%
- Microbial Metabolism and Applications
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- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 25
- Lipoproteins and Cardiovascular Health 21
- Cholesterol and Lipid Metabolism 4
- Coronary Interventions and Diagnostics 2
-
- Cancer, Lipids, and Metabolism 7
- Co-authors
- Luya Wang (14 shared papers)Shiwei Yang (5 shared papers)Zhangrong Jia (1 shared paper)Xiaoshu Cheng (6 shared papers)Feng Zhang (2 shared papers)Lijuan Hu (4 shared papers)Yinyan Ma (4 shared papers)Liqing Yu (4 shared papers)
- Journals
- Scientific Reports (6 papers)Lipids in Health and Disease (3 papers)Frontiers in Cardiovascular Medicine (2 papers)Journal of clinical lipidology (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Long Jiang
42 papers receiving 497 citations
Peers
Comparison fields: 5 of 81
- Biotechnology 52
- Surgery 214
- Cancer Research 59
- Endocrinology, Diabetes and Metabolism 58
- Pharmacology 26
Countries citing papers authored by Long Jiang
This map shows the geographic impact of Long Jiang'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 Long Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Jiang more than expected).
Fields of papers citing papers by Long Jiang
This network shows the impact of papers produced by Long Jiang. 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 Long Jiang. The network helps show where Long Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Jiang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2015 | 42 | |
| 3 | 2022 | 35 | |
| 4 | 2017 | 34 | |
| 5 | 2022 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2017 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2017 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2020 | 9 |
About Long Jiang
Long Jiang is a scholar working on Surgery, Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 512 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Cancer, Lipids, and Metabolism (7 papers), Cholesterol and Lipid Metabolism (4 papers), Blood Pressure and Hypertension Studies (2 papers), Lipid metabolism and biosynthesis (2 papers), Coronary Interventions and Diagnostics (2 papers), Hormonal Regulation and Hypertension (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Biotechnology (52 citations), Surgery (214 citations), Cancer Research (59 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Pharmacology (26 citations). Long Jiang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Luya Wang, Shiwei Yang, Zhangrong Jia, Xiaoshu Cheng, Feng Zhang, Lijuan Hu, Yinyan Ma, Liqing Yu, Hang Shi and Renqiang Yang. Their work appears in journals such as Scientific Reports, Lipids in Health and Disease, Frontiers in Cardiovascular Medicine, Journal of clinical lipidology and Journal of Clinical Medicine.
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.