Anna Patten

2.9k citations
78 papers · 2.2k indexed · h-index 26

Impact in

Papers in

Anna Patten

74 papers receiving 2.2k citations

Peers

Anna Patten
Comparison fields: 5 of 101
  • Developmental Neuroscience 305
  • Pediatrics, Perinatology and Child Health 1.3k
  • Psychiatry and Mental health 923
  • Cellular and Molecular Neuroscience 767
  • Biological Psychiatry 70
Replace Don Shin with:
Don Shin United States
Vanya Stefovska Germany
Elsa M. Valdizán Spain
Gregory C. Mathews United States
Masahiko Ishimaru Japan
Maria José da Silva Fernandes Brazil
Anvita Kale India
Tiffany J. Mellott United States
John W. Dailey United States
Robert F. Berman United States
Anna Patten relative to Don Shin United States Don Shin's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Anna Patten

Since Specialization
Citations

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

Fields of papers citing papers by Anna Patten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015265
2 2014171
3 2020159
4 2011150
5 2012110
6 201379
7 201278
8 201872
9 201668
10 201665
11 201158
12 201353
13 201152
14 201351
15 201750
16 201549
17 202047
18 201245
19 201334
20 201433

About Anna Patten

Anna Patten is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Developmental Neuroscience, Cellular and Molecular Neuroscience and Anesthesiology and Pain Medicine, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (52 papers), Pharmacological Effects and Toxicity Studies (43 papers), Neuroscience and Neuropharmacology Research (29 papers), Prenatal Substance Exposure Effects (13 papers), Neonatal and fetal brain pathology (12 papers), Birth, Development, and Health (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Fatty Acid Research and Health (6 papers). The work is most often cited by research in Developmental Neuroscience (305 citations), Pediatrics, Perinatology and Child Health (1.3k citations), Psychiatry and Mental health (923 citations), Cellular and Molecular Neuroscience (767 citations) and Biological Psychiatry (70 citations). Anna Patten has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Brian R. Christie, Joana Gil‐Mohapel, Patrícia S. Brocardo, Christine J. Fontaine, Antonio Laurenza, Luigi Giorgi, Helle M. Sickmann, Suk‐Yu Yau, Gregory L. Krauss and Robert Wechsler. Their work appears in journals such as Neurology, Epilepsia, Epilepsy & Behavior, Epilepsia Open and Journal of Neurology Neurosurgery & Psychiatry.

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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