Peter See

15.3k citations
20 papers · 6.2k indexed · 3 hit papers · h-index 15

Peter See

20 papers receiving 6.2k citations

Hit Papers

C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes...829201020262015202010002.0k3.0k

Peers

Peter See
Comparison fields: 5 of 112
  • Neurology 3.1k
  • Immunology 3.7k
  • Developmental Neuroscience 620
  • Biological Psychiatry 365
  • Behavioral Neuroscience 157
Replace Sayan Nandi with:
Sayan Nandi United States
Igor M. Samokhvalov China
Marylène Leboeuf United States
Katrin Kierdorf Germany
Yochai Wolf Israel
Şölen Gökhan United States
Astrid E. Cardona United States
Cinthia Farina Italy
Guillaume Hoeffel France
Alexander Flügel Germany
Peter See relative to Sayan Nandi United States Sayan Nandi's profile →
Citations per field
00.5×1.5×
Sayan Nandi · 1×
Citations per year

Countries citing papers authored by Peter See

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter See Line = papers co-authored together Peter See links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 202121
3 2020257
4 201927
5 20196
6 20197
7 2018139
8 201758
9 2016198
10 20167
11
C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes Give Rise to Adult Tissue-Resident Macrophagesbreakdown →
2015829
12 2015136
13 201514
14 201322
15 201211
16
Adult Langerhans cells derive predominantly from embryonic fetal liver monocytes with a minor contribution of yolk sac–derived macrophagesbreakdown →
2012561
17 201255
18 201135
19 2011118
20
Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophagesbreakdown →
20103740

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.

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