David W. Nauen

5.3k citations
32 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Neural dynamics and brain function (7 papers)Neuroscience and Neuropharmacology Research (6 papers)Glioma Diagnosis and Treatment (5 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

David W. Nauen

29 papers receiving 1.3k citations

Hit Papers

Single-Cell RNA-Seq with Waterfall Reveals Molecular Casc...20152026201820222015100200300400500

Peers

David W. Nauen
Comparison fields: 5 of 105
  • Molecular Biology 581
  • Cellular and Molecular Neuroscience 405
  • Cognitive Neuroscience 259
  • Developmental Neuroscience 250
  • Electrical and Electronic Engineering 221
Replace Katalin Schlett with:
Katalin Schlett Hungary
Pei‐Lin Cheng Taiwan
Justin P. Kinney United States
Mišo Mitkovski Germany
Hanzhi Zhao United States
Inbal Benhar Israel
Dheeraj Malhotra United States
Olav Olsen United States
Ashkan Javaherian United States
Amir H. Kashani United States
David W. Nauen relative to Katalin Schlett Hungary Katalin Schlett's profile →
Citations per field
00.5×10×20×27.6×
Katalin Schlett · 1×
Citations per year

Countries citing papers authored by David W. Nauen

Since Specialization
Citations

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

Fields of papers citing papers by David W. Nauen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Nauen. 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 David W. Nauen. The network helps show where David W. Nauen may publish in the future.

Co-authorship network of co-authors of David W. Nauen

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Nauen. A scholar is included among the top collaborators of David W. Nauen 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 David W. Nauen. David W. Nauen 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
#WorkIndexed citations
1 1
2 0
3 0
4 19
5 32
6 5
7 18
8 5
9 36
10 2
11 9
12
Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesisbreakdown →
571
13 1
14 65
15 13
16 13
17 6
18 38
19 49
20 219

About David W. Nauen

David W. Nauen is a scholar working on Genetics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Developmental Neuroscience (250 citations), Cellular and Molecular Neuroscience (405 citations) and Neurology (148 citations). David W. Nauen has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Guo‐Qiang Bi, Richard C. Gerkin, Guo‐li Ming, Hongjun Song, Grigori Enikolopov, Michael A. Bonaguidi, Kimberly M. Christian, Yunhua Zhu, Daniel A. Berg and Juan Song. Their work appears in journals such as Neuron, Nature Neuroscience and NeuroImage.

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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