Anne E. Schaffner

1.7k citations
43 papers · 1.5k · h-index 23

Impact in

Papers in

Anne E. Schaffner

43 papers receiving 1.4k citations

Peers

Anne E. Schaffner
Comparison fields: 5 of 107
  • Developmental Neuroscience 278
  • Cellular and Molecular Neuroscience 1.0k
  • Neurology 115
  • Endocrine and Autonomic Systems 83
  • Cognitive Neuroscience 177
Replace Stefano Alberi with:
Stefano Alberi Switzerland
Laura N. Borodinsky United States
Hiroyuki Ichijo Japan
Keiko Okamoto Japan
George A. Foster United Kingdom
Indrani Rajan United States
Dénes V. Ágoston United States
Anthony A. Oliva United States
René Jüttner Germany
Henry H.C. Lee United States
Anne E. Schaffner relative to Stefano Alberi Switzerland Stefano Alberi's profile →
Citations per field
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Stefano Alberi · 1×
Citations per year

Countries citing papers authored by Anne E. Schaffner

Since Specialization
Citations

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

Fields of papers citing papers by Anne E. Schaffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne E. Schaffner. 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 Anne E. Schaffner. The network helps show where Anne E. Schaffner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998191
2 1998141
3 1998117
4 199579
5 200069
6 199366
7 199865
8 199058
9 200251
10 198749
11 199349
12 199648
13 200040
14 199536
15 199836
16 199336
17 199433
18 198432
19 199930
20 197828

About Anne E. Schaffner

Anne E. Schaffner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Neurology and Physiology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (33 papers), Ion channel regulation and function (21 papers), Neuroscience and Neural Engineering (16 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Nerve injury and regeneration (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Developmental Neuroscience (278 citations), Cellular and Molecular Neuroscience (1.0k citations), Neurology (115 citations), Endocrine and Autonomic Systems (83 citations) and Cognitive Neuroscience (177 citations). Anne E. Schaffner has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jeffery L. Barker, Jeffery L. Barker, Toby Behar, Qiying Liu, David A. Stenger, James J. Hickman, Catherine Scott, Casey L. O’Connell, Jean Vautrin and Yoong Hee Chang. Their work appears in journals such as Developmental Brain Research, Brain Research, The Journal of Physiology, Journal of Neuroscience and Journal of Neurophysiology.

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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