Peter Pan
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neuroscience and Music Perception
- Visual perception and processing mechanisms
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 6
-
- Brain Metastases and Treatment 2
- Co-authors
- Rajiv Magge (3 shared papers)Aya Haggiagi (3 shared papers)Theodore P. Zanto (2 shared papers)Adam Gazzaley (2 shared papers)Anna C. Nobre (1 shared paper)Jacob Bollinger (1 shared paper)Andrew B. Lassman (2 shared papers)Wolfgang Wick (1 shared paper)
- Journals
- Neuro-Oncology (3 papers)Neuro-Oncology Advances (2 papers)Frontiers in Oncology (1 paper)Journal of Neuroscience (1 paper)Cortex (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter Pan
12 papers receiving 278 citations
Peers
Comparison fields: 5 of 68
- Genetics 80
- Cognitive Neuroscience 93
- Oncology 51
- Cancer Research 23
- Neurology 21
Countries citing papers authored by Peter Pan
This map shows the geographic impact of Peter Pan'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 Peter Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pan more than expected).
Fields of papers citing papers by Peter Pan
This network shows the impact of papers produced by Peter Pan. 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 Peter Pan. The network helps show where Peter Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 98 | |
| 2 | 2020 | 59 | |
| 3 | 2019 | 47 | |
| 4 | 2020 | 37 | |
| 5 | 1997 | 13 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 |
About Peter Pan
Peter Pan is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Oncology and Epidemiology, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Metastases and Treatment (2 papers), Neural and Behavioral Psychology Studies (2 papers), Meningioma and schwannoma management (2 papers), Cognitive Functions and Memory (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Genetics (80 citations), Cognitive Neuroscience (93 citations), Oncology (51 citations), Cancer Research (23 citations) and Neurology (21 citations). Peter Pan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rajiv Magge, Aya Haggiagi, Theodore P. Zanto, Adam Gazzaley, Anna C. Nobre, Jacob Bollinger, Andrew B. Lassman, Wolfgang Wick, Zwe‐Ling Kong and Francis G. Fang. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, Frontiers in Oncology, Journal of Neuroscience and Cortex.
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.