Jun Tian
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Kenneth K. Wong (1 shared paper)Chi‐Ming Ho (2 shared papers)Chun‐Nam Lok (2 shared papers)Jen‐Fu Chiu (2 shared papers)Chi‐Ming Che (2 shared papers)Wing‐Yiu Yu (1 shared paper)Zeyuan Dong (6 shared papers)Richard D. Ye (3 shared papers)
- Journals
- Renal Failure (4 papers)Molecular Pharmacology (2 papers)PLoS ONE (1 paper)Nano Letters (1 paper)Kidney & Blood Pressure Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Tian
50 papers receiving 1.4k citations
Jun Tian's Hit Papers
Peers
Comparison fields: 5 of 131
- Rehabilitation 218
- Biomaterials 190
- Drug Discovery 2
- Materials Chemistry 513
- Nephrology 59
Countries citing papers authored by Jun Tian
This map shows the geographic impact of Jun Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tian more than expected).
Fields of papers citing papers by Jun Tian
This network shows the impact of papers produced by Jun Tian. 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 Tian. The network helps show where Jun Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tian, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Topical Delivery of Silver Nanoparticles Promotes Wound Healing Hit paper breakdown → | 2006 | 759 |
| 2 | Peripheral biomarkers in Autism: secreted amyloid precursor protein-alpha as a probable key player in early diagnosis. | 2008 | 53 |
| 3 | 2007 | 48 | |
| 4 | 2015 | 48 | |
| 5 | 2020 | 43 | |
| 6 | 2009 | 41 | |
| 7 | 2007 | 39 | |
| 8 | 2019 | 34 | |
| 9 | 2013 | 30 | |
| 10 | 2001 | 27 | |
| 11 | 2008 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2008 | 21 | |
| 15 | 2014 | 19 | |
| 16 | 2024 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2004 | 16 | |
| 20 | 2015 | 13 |
About Jun Tian
Jun Tian is a scholar working on Molecular Biology, Nephrology, Transplantation, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Renal Diseases and Glomerulopathies (4 papers), Supramolecular Chemistry and Complexes (3 papers), Molecular Sensors and Ion Detection (3 papers), Renal and Vascular Pathologies (3 papers), Antimicrobial Peptides and Activities (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Rehabilitation (218 citations), Biomaterials (190 citations), Drug Discovery (2 citations), Materials Chemistry (513 citations) and Nephrology (59 citations). Jun Tian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kenneth K. Wong, Chi‐Ming Ho, Chun‐Nam Lok, Jen‐Fu Chiu, Chi‐Ming Che, Wing‐Yiu Yu, Zeyuan Dong, Richard D. Ye, Shuaiwei Qi and Ni Cheng. Their work appears in journals such as Renal Failure, Molecular Pharmacology, PLoS ONE, Nano Letters and Kidney & Blood Pressure Research.
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.