Jianjun Wang
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Surgery
- Co-authors
- Markku LaaksoJohanna KuusistoLeena MoilanenJaakko TuomilehtoGang HuMaija E. MiettinenJani LappalainenQing Qiao
- Topics
- Liver Disease Diagnosis and Treatment (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Pancreatitis Pathology and Treatment (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineInternal Medicine
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Jianjun Wang
60 papers receiving 843 citations
Peers
Comparison fields: 5 of 115
- Epidemiology 258
- Endocrinology, Diabetes and Metabolism 212
- Cardiology and Cardiovascular Medicine 191
- Molecular Biology 119
- Surgery 116
Countries citing papers authored by Jianjun Wang
This map shows the geographic impact of Jianjun Wang'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 Jianjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Wang more than expected).
Fields of papers citing papers by Jianjun Wang
This network shows the impact of papers produced by Jianjun Wang. 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 Jianjun Wang. The network helps show where Jianjun Wang may publish in the future.
Co-authorship network of co-authors of Jianjun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Wang. A scholar is included among the top collaborators of Jianjun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianjun Wang. Jianjun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | Hemoglobin A1c and Angiographic Severity with Coronary Artery Disease: A Cross-Sectional Study | 5 |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 29 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | Effects of Phytosterols on Growth Performance and Fat Metabolism in Broilers | 10 |
| 17 | 19 | |
| 18 | 73 | |
| 19 | 18 | |
| 20 | 2 |
About Jianjun Wang
Jianjun Wang is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 60 papers that have together received 870 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (212 citations), Cardiology and Cardiovascular Medicine (191 citations) and Internal Medicine (28 citations). Jianjun Wang has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Markku Laakso, Johanna Kuusisto, Leena Moilanen, Jaakko Tuomilehto, Gang Hu, Maija E. Miettinen, Jani Lappalainen, Qing Qiao, Johanna Kuusisto and Alena Stančáková. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.