Daniel H. Geschwind

149.4k total citations · 27 hit papers
428 papers, 50.5k citations indexed

About

Daniel H. Geschwind is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Daniel H. Geschwind has authored 428 papers receiving a total of 50.5k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Molecular Biology, 155 papers in Genetics and 107 papers in Cognitive Neuroscience. Recurrent topics in Daniel H. Geschwind's work include Genetics and Neurodevelopmental Disorders (107 papers), Autism Spectrum Disorder Research (86 papers) and Alzheimer's disease research and treatments (49 papers). Daniel H. Geschwind is often cited by papers focused on Genetics and Neurodevelopmental Disorders (107 papers), Autism Spectrum Disorder Research (86 papers) and Alzheimer's disease research and treatments (49 papers). Daniel H. Geschwind collaborates with scholars based in United States, United Kingdom and Germany. Daniel H. Geschwind's co-authors include Brett S. Abrahams, Steve Horvath, Giovanni Coppola, Pat Levitt, Donna M. Werling, Neelroop Parikshak, Michael C. Oldham, Harley I. Kornblum, Rita M. Cantor and Jennifer K. Lowe and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Daniel H. Geschwind

421 papers receiving 49.7k citations

Hit Papers

Dentate Granule Cell Neurogenesis Is Increased by Seizure... 1997 2026 2006 2016 1997 2003 2011 2008 2015 500 1000 1.5k

Peers

Daniel H. Geschwind
Comparison fields: 5 of 198
  • Molecular Biology 24.9k
  • Genetics 14.7k
  • Cognitive Neuroscience 13.7k
  • Cellular and Molecular Neuroscience 9.2k
  • Physiology 5.5k
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Citations per field, relative to Daniel H. Geschwind
Daniel H. Geschwind · 1×
Citations per year, relative to Daniel H. Geschwind
Daniel H. Geschwind · 1×

Countries citing papers authored by Daniel H. Geschwind

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Geschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel H. Geschwind

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Geschwind. A scholar is included among the top collaborators of Daniel H. Geschwind 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 Daniel H. Geschwind. Daniel H. Geschwind 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
# Work Indexed citations
1 1
2 2
3 1
4 30
5 6
6 4
7 54
8 15
9 127
10 14
11 54
12 59
13 118
14 21
15
Evidence for α-synuclein prions causing multiple system atrophy in humans with parkinsonism breakdown →
542
16 5
17 233
18 223
19 422
20 264

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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