Jun Shi
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Water Science and Technology top 5%
- Coagulation and Flocculation Studies
- Adsorption and biosorption for pollutant removal
- Minerals Flotation and Separation Techniques
Papers in
-
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
- Oncology 11
- Co-authors
- Yimin Zou (2 shared papers)Chin-Chun Lu (2 shared papers)Jiangya Ma (5 shared papers)Kun Fu (4 shared papers)Leslie A. King (1 shared paper)Adam M. Schmitt (1 shared paper)Xue Fu (4 shared papers)Liyan Jiang (4 shared papers)
- Journals
- Oncotarget (3 papers)Separation and Purification Technology (3 papers)Annals of Oncology (2 papers)Medicine (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Shi
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 142
- Developmental Neuroscience 120
- Water Science and Technology 273
- Cellular and Molecular Neuroscience 335
- Aging 26
- Endocrine and Autonomic Systems 64
Countries citing papers authored by Jun Shi
This map shows the geographic impact of Jun Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shi more than expected).
Fields of papers citing papers by Jun Shi
This network shows the impact of papers produced by Jun Shi. 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 Shi. The network helps show where Jun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shi, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 227 | |
| 2 | 2005 | 214 | |
| 3 | 2018 | 151 | |
| 4 | 2017 | 92 | |
| 5 | 2017 | 85 | |
| 6 | 2016 | 83 | |
| 7 | 2012 | 76 | |
| 8 | 2018 | 55 | |
| 9 | 2018 | 46 | |
| 10 | 2018 | 43 | |
| 11 | 2017 | 42 | |
| 12 | 2018 | 42 | |
| 13 | 2013 | 40 | |
| 14 | 2017 | 29 | |
| 15 | 2019 | 25 | |
| 16 | 2013 | 24 | |
| 17 | 2017 | 24 | |
| 18 | 2021 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2018 | 15 |
About Jun Shi
Jun Shi is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Coagulation and Flocculation Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Interference and Gene Delivery (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (120 citations), Water Science and Technology (273 citations), Cellular and Molecular Neuroscience (335 citations), Aging (26 citations) and Endocrine and Autonomic Systems (64 citations). Jun Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yimin Zou, Chin-Chun Lu, Jiangya Ma, Kun Fu, Leslie A. King, Adam M. Schmitt, Xue Fu, Liyan Jiang, Xue‐Jun Song and Anna I Lyuksyutova. Their work appears in journals such as Oncotarget, Separation and Purification Technology, Annals of Oncology, Medicine and Frontiers in Pharmacology.
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.