Susanna C. Benn

1.5k citations
12 papers · 1.2k indexed · h-index 10
Topics
Nerve injury and regeneration (4 papers)Amyotrophic Lateral Sclerosis Research (3 papers)Neurogenetic and Muscular Disorders Research (3 papers)

In The Last Decade

Susanna C. Benn

12 papers receiving 1.2k citations

Peers

Susanna C. Benn
Comparison fields: 5 of 92
  • Molecular Biology 670
  • Cellular and Molecular Neuroscience 459
  • Physiology 368
  • Neurology 346
  • Genetics 191
Replace Nikolay Naumenko with:
Nikolay Naumenko Finland
Thomas W. Gould United States
Yasuhiro Kawamoto Japan
Elize D. Haasdijk Netherlands
Chung Min Shin South Korea
Karin Pernold Sweden
Alexander M. Herman United States
Rocío Ruiz Spain
Hanna Wootz Sweden
Elsa Diguet France
Susanna C. Benn relative to Nikolay Naumenko Finland Nikolay Naumenko's profile →
Citations per field
00.5×3.4×
Nikolay Naumenko · 1×
Citations per year

Countries citing papers authored by Susanna C. Benn

Since Specialization
Citations

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

Fields of papers citing papers by Susanna C. Benn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susanna C. Benn. 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 Susanna C. Benn. The network helps show where Susanna C. Benn may publish in the future.

Co-authorship network of co-authors of Susanna C. Benn

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna C. Benn. A scholar is included among the top collaborators of Susanna C. Benn 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 Susanna C. Benn. Susanna C. Benn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 76
2 146
3 2
4 34
5 32
6 22
7
How do adult neurons survive?
1
8 109
9 197
10 210
11 119
12 236

About Susanna C. Benn

Susanna C. Benn is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (459 citations), Neurology (346 citations) and Developmental Neuroscience (87 citations). Susanna C. Benn has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Clifford J. Woolf, Michael Costigan, Richard Mannion, Simon Tate, Isabelle Décosterd, Joachim Scholz, Daniel Perrelet, Joanna C. Bakowska, Ann C. Kato and Jeffrey D. Macklis. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature 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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