Jun Bu
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
Papers in
-
- RNA Interference and Gene Delivery 2
- Cell death mechanisms and regulation 2
- DNA and Nucleic Acid Chemistry 2
- Surgery 4
- Cardiac Structural Anomalies and Repair 2
- Co-authors
- Jian Kang (2 shared papers)Ping Xiang (3 shared papers)Min Shen (2 shared papers)Baohua Shen (3 shared papers)Ben He (2 shared papers)Wei Song (1 shared paper)Pengfei Wang (1 shared paper)Hidemi Toyoda (2 shared papers)
- Journals
- Small Methods (2 papers)Forensic Science International (2 papers)Scientific Reports (1 paper)British Journal of Haematology (1 paper)Prostate Cancer and Prostatic Diseases (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Bu
23 papers receiving 347 citations
Peers
Comparison fields: 5 of 95
- Toxicology 21
- Endocrine and Autonomic Systems 28
- Pharmacology 55
- Endocrinology, Diabetes and Metabolism 31
- Immunology 39
Countries citing papers authored by Jun Bu
This map shows the geographic impact of Jun Bu'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 Jun Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Bu more than expected).
Fields of papers citing papers by Jun Bu
This network shows the impact of papers produced by Jun Bu. 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 Jun Bu. The network helps show where Jun Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Bu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 52 | |
| 2 | 2021 | 39 | |
| 3 | 2019 | 37 | |
| 4 | 2022 | 32 | |
| 5 | 2003 | 30 | |
| 6 | 2009 | 28 | |
| 7 | 2021 | 23 | |
| 8 | 2005 | 22 | |
| 9 | 2004 | 19 | |
| 10 | 2017 | 14 | |
| 11 | 2010 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2001 | 12 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 3 | |
| 16 | [Determination of opiates in biological human samples by liquid chromatography-tandem mass spectrometry]. | 2006 | 3 |
| 17 | 2012 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Jun Bu
Jun Bu is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 355 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (2 papers), Cardiac Imaging and Diagnostics (2 papers), RNA Interference and Gene Delivery (2 papers), Cell death mechanisms and regulation (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Pharmacological Effects and Assays (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Toxicology (21 citations), Endocrine and Autonomic Systems (28 citations), Pharmacology (55 citations), Endocrinology, Diabetes and Metabolism (31 citations) and Immunology (39 citations). Jun Bu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Kang, Ping Xiang, Min Shen, Baohua Shen, Ben He, Wei Song, Pengfei Wang, Hidemi Toyoda, Yanyan Hao and Shigeki Tanaka. Their work appears in journals such as Small Methods, Forensic Science International, Scientific Reports, British Journal of Haematology and Prostate Cancer and Prostatic Diseases.
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.