Sabrina Wang

43 papers receiving 2.8k citations

Peers

Sabrina Wang
Comparison fields: 5 of 118
  • Biological Psychiatry 449
  • Developmental Neuroscience 742
  • Behavioral Neuroscience 304
  • Neurology 283
  • Cellular and Molecular Neuroscience 583
Replace Hideo Matsuzaki with:
Hideo Matsuzaki Japan
Francesco Angelucci Italy
Charles A. Hoeffer United States
Evan Elliott Israel
Susana Aznar Denmark
Graham Cocks United Kingdom
Árpád Dobolyi Hungary
Gabriel Lepousez France
Yvonne M. Nolan Ireland
P.F. Gardino Brazil
Sabrina Wang relative to Hideo Matsuzaki Japan Hideo Matsuzaki's profile →
Citations per field
00.5×2.6×
Hideo Matsuzaki · 1×
Citations per year

Countries citing papers authored by Sabrina Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006479
2 2000348
3 2015228
4 2015218
5 2019197
6 2017170
7 2020122
8 2019112
9 2013100
10 201699
11 201185
12 200968
13 201667
14 201954
15 202054
16 201549
17 201047
18 201943
19 202141
20 200532

About Sabrina Wang

Sabrina Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience and Biological Psychiatry, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Tryptophan and brain disorders (6 papers), Neuroendocrine regulation and behavior (5 papers), Neural dynamics and brain function (5 papers), Glioma Diagnosis and Treatment (5 papers), Neuroscience and Neural Engineering (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Biological Psychiatry (449 citations), Developmental Neuroscience (742 citations), Behavioral Neuroscience (304 citations), Neurology (283 citations) and Cellular and Molecular Neuroscience (583 citations). Sabrina Wang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include J. Martin Wojtowicz, Ying-Chieh Tsai, Brian W. Scott, Chien-Chen Wu, Gordon Winocur, Melanie J. Sekeres, Jason S. Snyder, Yu‐Lung Lin, Wei‐Hsien Liu and Shu‐Yi Lin. Their work appears in journals such as Behavioural Brain Research, Brain Research, Brain Behavior and Immunity, Canadian Journal of Physiology and Pharmacology and Journal of Visualized Experiments.

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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