Jason E. Long

2.7k citations
26 papers · 1.4k indexed · h-index 16

Impact in

Papers in

Jason E. Long

25 papers receiving 1.4k citations

Peers

Jason E. Long
Comparison fields: 5 of 106
  • Developmental Neuroscience 312
  • Sensory Systems 101
  • Molecular Biology 997
  • Cellular and Molecular Neuroscience 218
  • Cell Biology 190
Replace Akinori Tokunaga with:
Akinori Tokunaga Japan
Jennie Close United States
Roger Pedersen United Kingdom
Sara Mercurio Italy
Massimo Signore United Kingdom
James Y. H. Li United States
Mireille Rossel France
Reto I. Peirano Germany
Cheuk T. Leung United States
Carol Hicks United States
Jason E. Long relative to Akinori Tokunaga Japan Akinori Tokunaga's profile →
Citations per field
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Akinori Tokunaga · 1×
Citations per year

Countries citing papers authored by Jason E. Long

Since Specialization
Citations

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

Fields of papers citing papers by Jason E. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999291
2 1993246
3 2007203
4 2011114
5 2008111
6 2018100
7 199673
8 201255
9 201739
10 200937
11 201534
12 200626
13 201924
14 202217
15 199517
16 202015
17 202011
18 201511
19 20215
20 20114

About Jason E. Long

Jason E. Long is a scholar working on Developmental Neuroscience, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Developmental Biology and Gene Regulation (4 papers), Prostate Cancer Treatment and Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer-related molecular mechanisms research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Developmental Neuroscience (312 citations), Sensory Systems (101 citations), Molecular Biology (997 citations), Cellular and Molecular Neuroscience (218 citations) and Cell Biology (190 citations). Jason E. Long has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John L.R. Rubenstein, Alessandra Eva, Timothy P. Fleming, Cheryl L. Smith, Juanito J. Meneses, Roger A. Pedersen, Michael J. Depew, R. Presley, Arturo Álvarez-Buylla and Yojiro Yanagawa. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature, Genomics and iScience.

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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