Anne E. Schaffner

2.4k citations
48 papers · 2.2k · h-index 28

Impact in

Papers in

Anne E. Schaffner

48 papers receiving 2.1k citations

Peers

Anne E. Schaffner
Comparison fields: 5 of 83
  • Developmental Neuroscience 319
  • Cellular and Molecular Neuroscience 1.2k
  • Endocrine and Autonomic Systems 75
  • Cell Biology 164
  • Sensory Systems 39
Replace Håkan Björklund with:
Håkan Björklund Sweden
Anthony A. Oliva United States
M.A. Cambray-Deakin United Kingdom
Kimberly Goslin United States
E. Marani Netherlands
G. Elisabeth Pollerberg Germany
Yimin Zou United States
Catherine A. Priest United States
BARBARA P. FULTON United Kingdom
D. A. Brown United Kingdom
Anne E. Schaffner relative to Håkan Björklund Sweden Håkan Björklund's profile →
Citations per field
00.5×2×3×3.8×
Håkan Björklund · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998189
2 1994155
3
GABAergic cells and signals in CNS development.
1998148
4 1981144
5 1998140
6 1998116
7 199380
8 199580
9 198773
10 199366
11 200066
12 199865
13 199057
14 198252
15 200251
16 198749
17 199349
18 199647
19 200040
20 199336

About Anne E. Schaffner

Anne E. Schaffner is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Nephrology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Ion channel regulation and function (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Nerve injury and regeneration (3 papers), Neuroscience and Neural Engineering (3 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Developmental Neuroscience (319 citations), Cellular and Molecular Neuroscience (1.2k citations), Endocrine and Autonomic Systems (75 citations), Cell Biology (164 citations) and Sensory Systems (39 citations). Anne E. Schaffner has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jeffery L. Barker, Toby N. Behar, Ronald L. Schnaar, David Andrew Stenger, Jean Vautrin, Qiying Liu, James J. Hickman, Casey Lee O'Connell, Roland Somogyi and Yoong Hee Chang. Their work appears in journals such as Journal of Neuroscience, Developmental Brain Research, Brain Research, The Journal of Physiology 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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