Jonathan Dinsmore

4.7k citations
46 papers · 3.6k · h-index 27

Impact in

Papers in

Jonathan Dinsmore

44 papers receiving 3.4k citations

Peers

Jonathan Dinsmore
Comparison fields: 5 of 107
  • Developmental Neuroscience 771
  • Genetics 670
  • Cellular and Molecular Neuroscience 1.1k
  • Surgery 1.1k
  • Neurology 363
Replace Fernando Jiménez with:
Fernando Jiménez United States
Hajime Sawada Japan
Akio Iwanami Japan
Jean G. Toma Canada
Georgia Panagiotakos United States
Holm Zaehres Germany
Jitka Ourednik United States
Nimet Maherali United States
Baoyang Hu China
Tiziano Barberi United States
Jonathan Dinsmore relative to Fernando Jiménez United States Fernando Jiménez's profile →
Citations per field
00.5×1.5×2×2.4×
Fernando Jiménez · 1×
Citations per year

Countries citing papers authored by Jonathan Dinsmore

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Dinsmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003397
2 1997382
3 2000205
4 1991201
5 1995194
6 2000194
7 2005182
8 1998166
9 1996155
10 1996154
11 2010149
12 2002112
13 1995100
14 200998
15 200094
16 200485
17 198884
18 199481
19 200577
20 199663

About Jonathan Dinsmore

Jonathan Dinsmore is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Cell Biology, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (15 papers), Pluripotent Stem Cells Research (11 papers), Nerve injury and regeneration (11 papers), Tissue Engineering and Regenerative Medicine (8 papers), Nuclear Receptors and Signaling (4 papers), Xenotransplantation and immune response (4 papers), Mesenchymal stem cell research (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Developmental Neuroscience (771 citations), Genetics (670 citations), Cellular and Molecular Neuroscience (1.1k citations), Surgery (1.1k citations) and Neurology (363 citations). Jonathan Dinsmore has collaborated with scholars based in United States, Saint Kitts and Nevis and Colombia. Frequent co-authors include Ole Isacson, Terrence W. Deacon, Frank Solomon, Lindsay H. Burns, Albert S.B. Edge, David B. Jacoby, Wendy R. Galpern, Louis R. Caplan, Sean I. Savitz and Peyman Pakzaban. Their work appears in journals such as Cell Transplantation, Experimental Neurology, Cell, Journal of the American College of Cardiology and Nature Medicine.

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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