Peter Leeds

3.6k citations
29 papers · 3.1k · h-index 27

Impact in

Papers in

Peter Leeds

29 papers receiving 3.1k citations

Peers

Peter Leeds
Comparison fields: 5 of 116
  • Developmental Neuroscience 289
  • Biological Psychiatry 148
  • Cellular and Molecular Neuroscience 778
  • Neurology 319
  • Psychiatry and Mental health 425
Replace Chi‐Tso Chiu with:
Chi‐Tso Chiu Taiwan
De‐Maw Chuang United States
Francesca Biagioni Italy
Carla L. Busceti Italy
Fang Cai Canada
Kerstin Iverfeldt Sweden
Shannon L. Macauley United States
Robert A. Marr United States
David Virley United Kingdom
Ana Patricia Fernández Spain
Peter Leeds relative to Chi‐Tso Chiu Taiwan Chi‐Tso Chiu's profile →
Citations per field
00.5×1.5×2.4×
Chi‐Tso Chiu · 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 2004342
2 2009283
3 2002212
4 2010211
5 2008192
6 2003132
7 2011127
8 2009115
9 2011111
10 2004109
11 2000108
12 2012100
13 199999
14 201698
15 200092
16 200592
17 201490
18 201486
19 200385
20 201078

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 3.1k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Genetics and Neurodevelopmental Disorders (5 papers), Signaling Pathways in Disease (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Developmental Neuroscience (289 citations), Biological Psychiatry (148 citations), Cellular and Molecular Neuroscience (778 citations), Neurology (319 citations) and Psychiatry and Mental health (425 citations). Peter Leeds has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include De‐Maw Chuang, Yan Leng, De‐Maw Chuang, Ming Ren, Hyeon Ju Kim, Li‐Kai Tsai, Hirohiko Kanai, Zhifei Wang, Ren‐Wu Chen and Zoya Marinova. Their work appears in journals such as Journal of Neurochemistry, The Pharmacogenomics Journal, Neuropsychopharmacology, Stroke and The International Journal of Neuropsychopharmacology.

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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