Philip J. Johnson

3.5k citations
83 papers · 2.6k indexed · h-index 29

Philip J. Johnson

79 papers receiving 2.5k citations

Peers

Philip J. Johnson
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 277
  • Equine 83
  • Transplantation 84
  • Biomaterials 380
Replace Joe N. Kornegay with:
Joe N. Kornegay United States
Carl A. Gregory United States
Ana Colette Maurício Portugal
James Melrose Australia
Eijiro Adachi Japan
Nicolas Granger United Kingdom
John H. Barker United States
Yasusuke Hirasawa Japan
Andreina Schoeberlein Switzerland
Barbara Łukomska Poland
Philip J. Johnson relative to Joe N. Kornegay United States Joe N. Kornegay's profile →
Citations per field
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Joe N. Kornegay · 1×
Citations per year

Countries citing papers authored by Philip J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Johnson. 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 Philip J. Johnson. The network helps show where Philip J. Johnson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 2014136
3 20148
4 2013164
5 201316
6 201225
7 201129
8 201155
9 2011181
10 201127
11 201031
12 20102
13 201024
14 200997
15 200727
16 200670
17 200121
18
ANALYZING AN EVAPORATIVE EMISSIONS SYSTEM.
19990
19 199513
20 199124

About Philip J. Johnson

Philip J. Johnson is a scholar working on Equine, Transplantation and Cellular and Molecular Neuroscience, having authored 83 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (32 papers), Nerve Injury and Rehabilitation (13 papers), Organ and Tissue Transplantation Research (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Respiratory and Cough-Related Research (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Veterinary Equine Medical Research (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (277 citations) and Equine (83 citations). Philip J. Johnson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Susan E. Mackinnon, Daniel A. Hunter, Shelly E. Sakiyama‐Elbert, Amy M. Moore, Stanley Parker, Yan Yan, Piyaraj Newton, Alexander M. Tatara, Katherine B. Santosa and Scott J. Farber. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Circulation Research.

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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