Peifang Tian
- Radiology, Nuclear Medicine and Imaging top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Warren S. WarrenDorine KeustersYoshifumi SuzakiAnna DevorAnders M. DaleDavid A. BoasStephen R. ForrestElizabeth M. C. Hillman
- Topics
- Organic Light-Emitting Diodes Research (6 papers)Thin-Film Transistor Technologies (4 papers)Advanced Fluorescence Microscopy Techniques (4 papers)
- Partner nations
- United StatesHungaryChina
In The Last Decade
Peifang Tian
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 459
- Atomic and Molecular Physics, and Optics 434
- Cognitive Neuroscience 402
- Electrical and Electronic Engineering 375
- Cellular and Molecular Neuroscience 281
Countries citing papers authored by Peifang Tian
This map shows the geographic impact of Peifang 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 Peifang Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peifang Tian more than expected).
Fields of papers citing papers by Peifang Tian
This network shows the impact of papers produced by Peifang 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 Peifang Tian. The network helps show where Peifang Tian may publish in the future.
Co-authorship network of co-authors of Peifang Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Peifang Tian. A scholar is included among the top collaborators of Peifang Tian 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 Peifang Tian. Peifang Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 120 | |
| 6 | 31 | |
| 7 | 214 | |
| 8 | 152 | |
| 9 | 300 | |
| 10 | 3 | |
| 11 | 385 | |
| 12 | 65 | |
| 13 | 1 | |
| 14 | 64 | |
| 15 | 45 | |
| 16 | 44 | |
| 17 | 1 | |
| 18 | 138 | |
| 19 | 62 |
About Peifang Tian
Peifang Tian is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (6 papers), Thin-Film Transistor Technologies (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Biophysics (136 citations), Cognitive Neuroscience (402 citations) and Radiology, Nuclear Medicine and Imaging (459 citations). Peifang Tian has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Warren S. Warren, Dorine Keusters, Yoshifumi Suzaki, Anna Devor, Anders M. Dale, David A. Boas, Stephen R. Forrest, Elizabeth M. C. Hillman, P. E. Burrows and David Kleinfeld. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.