Dan Geschwind

3.1k citations
20 papers · 1.5k · h-index 16

Impact in

Papers in

Dan Geschwind

20 papers receiving 1.5k citations

Peers

Dan Geschwind
Comparison fields: 5 of 96
  • Developmental Neuroscience 189
  • Cellular and Molecular Neuroscience 456
  • Neurology 316
  • Neurology 130
  • Cognitive Neuroscience 201
Replace Shu-Ching Hu with:
Shu-Ching Hu United States
Fabienne de Bilbao Switzerland
Flavia Antonucci Italy
Yusuke Hatanaka Japan
Gerson Chadi Brazil
Mario Vukšić Croatia
Laura Restani Italy
Jason Liauw United States
Chris W. Pool Netherlands
Norbert Ulfig Germany
Dan Geschwind relative to Shu-Ching Hu United States Shu-Ching Hu's profile →
Citations per field
00.5×3.0×
Shu-Ching Hu · 1×
Citations per year

Countries citing papers authored by Dan Geschwind

Since Specialization
Citations

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

Fields of papers citing papers by Dan Geschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011200
2 2009158
3 2003134
4 2012114
5 2014110
6 2016101
7 2013100
8 199886
9 201086
10 200986
11 201975
12 201172
13 199571
14 199869
15 200420
16 201515
17 199912
18 20226
19 20002
20 20191

About Dan Geschwind

Dan Geschwind is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Mitochondrial Function and Pathology (2 papers), Spinal Cord Injury Research (2 papers), Functional Brain Connectivity Studies (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (189 citations), Cellular and Molecular Neuroscience (456 citations), Neurology (316 citations), Neurology (130 citations) and Cognitive Neuroscience (201 citations). Dan Geschwind has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Giovanni Coppola, Bruce L. Miller, Shingo Tsukada, Armin Blesch, Mark H. Tuszynski, Paul Lu, Juliana Karrim, Howard J. Rosen, William W. Seeley and Stanley F. Nelson. Their work appears in journals such as Neuron, Neurology, Cell, Journal of Neuroscience and Experimental Neurology.

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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