Jason M. Newbern

1.9k citations
35 papers · 1.3k · h-index 17

Impact in

Papers in

Jason M. Newbern

32 papers receiving 1.3k citations

Peers

Jason M. Newbern
Comparison fields: 5 of 100
  • Developmental Neuroscience 244
  • Cellular and Molecular Neuroscience 390
  • Aging 35
  • Molecular Biology 830
  • Cell Biology 149
Replace Elena Dvoretskova with:
Elena Dvoretskova Germany
Sanja Ivković Serbia
Hiroyuki Koizumi Japan
Tanja Vogel Germany
Angela Bithell United Kingdom
Marie‐Christine Birling France
Ryan Insolera United States
Christopher Patzke United States
Bula J. Bhattacharyya United States
Linda W. Jurata United States
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Citations per field
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Citations per year

Countries citing papers authored by Jason M. Newbern

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Newbern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Newbern. 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 Jason M. Newbern. The network helps show where Jason M. Newbern may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010188
2 2011169
3 2008135
4 2015132
5 2012127
6 200594
7 201756
8 201648
9 202037
10 201536
11 201236
12 201824
13 201923
14 200723
15 201619
16 200719
17 201718
18 202015
19 201715
20 201815

About Jason M. Newbern

Jason M. Newbern is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience and Oncology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Nerve injury and regeneration (4 papers), Congenital heart defects research (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Developmental Biology and Gene Regulation (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Melanoma and MAPK Pathways (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Developmental Neuroscience (244 citations), Cellular and Molecular Neuroscience (390 citations), Aging (35 citations), Molecular Biology (830 citations) and Cell Biology (149 citations). Jason M. Newbern has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Carmen Birchmeier, William D. Snider, Yaohong Wu, Jian Zhong, Xiaoyan Li, Jean Charron, Benjamin D. Philpot, Gary E. Landreth, Anna Taylor and Jason J. Yi. Their work appears in journals such as Human Molecular Genetics, Neuron, Journal of Neuroscience, Frontiers in Cell and Developmental Biology and Disease Models & Mechanisms.

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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