Peter See
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Immunology top 0.5%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 6
- Immune cells in cancer 6
- Immune Response and Inflammation 2
- Developmental Neuroscience top 0.5%
- Biological Psychiatry top 1%
- Behavioral Neuroscience top 5%
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- Malaria Research and Control 3
- Mosquito-borne diseases and control 2
- Co-authors
- Florent GinhouxMelanie GreterLai Guan NgMiriam MéradIgor M. SamokhvalovE. Richard StanleySimon J. ConwayMarylène Leboeuf
- Partner nations
- SingaporeUnited StatesJapan
In The Last Decade
Peter See
20 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Neurology 3.1k
- Immunology 3.7k
- Developmental Neuroscience 620
- Biological Psychiatry 365
- Behavioral Neuroscience 157
Countries citing papers authored by Peter See
This map shows the geographic impact of Peter See'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 See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter See more than expected).
Fields of papers citing papers by Peter See
This network shows the impact of papers produced by Peter See. 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 See. The network helps show where Peter See may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter See, 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 | 2023 | 3 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 257 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 7 | |
| 7 | 2018 | 139 | |
| 8 | 2017 | 58 | |
| 9 | 2016 | 198 | |
| 10 | 2016 | 7 | |
| 11 | C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes Give Rise to Adult Tissue-Resident Macrophagesbreakdown → | 2015 | 829 |
| 12 | 2015 | 136 | |
| 13 | 2015 | 14 | |
| 14 | 2013 | 22 | |
| 15 | 2012 | 11 | |
| 16 | Adult Langerhans cells derive predominantly from embryonic fetal liver monocytes with a minor contribution of yolk sac–derived macrophagesbreakdown → | 2012 | 561 |
| 17 | 2012 | 55 | |
| 18 | 2011 | 35 | |
| 19 | 2011 | 118 | |
| 20 | Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophagesbreakdown → | 2010 | 3740 |
About Peter See
Peter See is a scholar working on Immunology, Neurology and Developmental Neuroscience, having authored 20 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), Immune cells in cancer (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Malaria Research and Control (3 papers), Mosquito-borne diseases and control (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Neurology (3.1k citations), Immunology (3.7k citations) and Developmental Neuroscience (620 citations). Peter See has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Florent Ginhoux, Melanie Greter, Lai Guan Ng, Miriam Mérad, Igor M. Samokhvalov, E. Richard Stanley, Simon J. Conway, Marylène Leboeuf, Mark F. Mehler and Sayan Nandi. Their work appears in journals such as Nature Immunology, Scientific Reports, Chemical Communications, Immunity and Frontiers in Immunology.
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.