Annalisa Scimemi

2.4k citations
33 papers · 1.7k indexed · h-index 20
Topics
Neuroscience and Neuropharmacology Research (25 papers)Neural dynamics and brain function (11 papers)Photoreceptor and optogenetics research (5 papers)

In The Last Decade

Annalisa Scimemi

33 papers receiving 1.7k citations

Peers

Annalisa Scimemi
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 614
  • Cognitive Neuroscience 526
  • Neurology 295
  • Physiology 197
Replace C. Geoffrey Lau with:
C. Geoffrey Lau Hong Kong
Marta Gómez‐Gonzalo Italy
Miho Terunuma United States
H. Rheinallt Parri United Kingdom
Corrado Corti Italy
DT Monaghan United States
Gregory C. Carlson United States
Steven J. Coultrap United States
Glenn Dallérac France
Christopher M. Henstridge United Kingdom
Annalisa Scimemi relative to C. Geoffrey Lau Hong Kong C. Geoffrey Lau's profile →
Citations per field
00.5×1.6×
C. Geoffrey Lau · 1×
Citations per year

Countries citing papers authored by Annalisa Scimemi

Since Specialization
Citations

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

Fields of papers citing papers by Annalisa Scimemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Scimemi

This figure shows the co-authorship network connecting the top 25 collaborators of Annalisa Scimemi. A scholar is included among the top collaborators of Annalisa Scimemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annalisa Scimemi. Annalisa Scimemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 8
3 19
4 12
5 32
6 50
7 34
8 16
9 76
10 26
11 32
12 22
13 183
14 19
15 6
16 53
17 50
18 108
19 51
20 158

About Annalisa Scimemi

Annalisa Scimemi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (11 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Neurology (295 citations) and Developmental Neuroscience (139 citations). Annalisa Scimemi has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Dimitri M. Kullmann, Jeffrey S. Diamond, Dmitri A. Rusakov, Matthew C. Walker, Alexey Semyanov, Marco Beato, Hua Tian, Alan Fine, Günther Sperk and Kaiyu Zheng. Their work appears in journals such as Science, Nature Communications and Journal of Neuroscience.

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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