Peter Leeds

3.6k citations
29 papers · 3.0k · h-index 27

Impact in

Papers in

Peter Leeds

29 papers receiving 3.0k citations

Peers

Peter Leeds
Comparison fields: 5 of 114
  • Developmental Neuroscience 314
  • Biological Psychiatry 157
  • Cellular and Molecular Neuroscience 840
  • Neurology 376
  • Psychiatry and Mental health 449
Replace Francesca Biagioni with:
Francesca Biagioni Italy
Chi‐Tso Chiu Taiwan
Emmanuel Hermans Belgium
Marc Gleichmann United States
Carla L. Busceti Italy
Adina T. Michael‐Titus United Kingdom
Alberta Leon Italy
Chandramohan Wakade United States
Ming Ren China
Ann Massie Belgium
Peter Leeds relative to Francesca Biagioni Italy Francesca Biagioni's profile →
Citations per field
00.5×1.7×
Francesca Biagioni · 1×
Citations per year

Countries citing papers authored by Peter Leeds

Since Specialization
Citations

This map shows the geographic impact of Peter Leeds'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 Leeds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Leeds more than expected).

Fields of papers citing papers by Peter Leeds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Leeds. 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 Leeds. The network helps show where Peter Leeds may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Leeds, 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 Leeds Line = papers co-authored together Peter Leeds links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004335
2 2009268
3 2010204
4 2002203
5 2008187
6 2003131
7 2011120
8 2009110
9 2011110
10 2000106
11 2004106
12 201299
13 199997
14 201697
15 200592
16 200087
17 201487
18 200383
19 201482
20 201076

About Peter Leeds

Peter Leeds is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (11 papers), Neuroscience and Neuropharmacology Research (7 papers), Signaling Pathways in Disease (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers), Epigenetics and DNA Methylation (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Developmental Neuroscience (314 citations), Biological Psychiatry (157 citations), Cellular and Molecular Neuroscience (840 citations), Neurology (376 citations) and Psychiatry and Mental health (449 citations). Peter Leeds has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include De‐Maw Chuang, Yan Leng, De‐Maw Chuang, Ming Ren, Li‐Kai Tsai, Hyeon Ju Kim, Hirohiko Kanai, Zhifei Wang, Ren‐Wu Chen and Zoya Marinova. Their work appears in journals such as Journal of Neurochemistry, The Pharmacogenomics Journal, Neuropsychopharmacology, The International Journal of Neuropsychopharmacology and Stroke.

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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