John A. Morrow

2.5k citations
23 papers · 2.1k · 1 hit paper · h-index 16

Impact in

Papers in

John A. Morrow

22 papers receiving 2.1k citations

John A. Morrow's Hit Papers

Phosphoproteomics reveals that Parkinson's disease kinase LRRK2 regulates a subset of Rab GTPases 2016 · 799 citations
7990+3+6Years since publication250500750

Peers

John A. Morrow
Comparison fields: 5 of 71
  • Neurology 888
  • Cellular and Molecular Neuroscience 686
  • Cell Biology 127
  • Biochemistry 55
  • Endocrine and Autonomic Systems 36
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Countries citing papers authored by John A. Morrow

Since Specialization
Citations

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

Fields of papers citing papers by John A. Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Morrow. 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 John A. Morrow. The network helps show where John A. Morrow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phosphoproteomics reveals that Parkinson's disease kinase LRRK2 regulates a subset of Rab GTPases
Hit paper breakdown →
2016799
2 1993458
3 2015240
4 2017122
5 1993114
6 199864
7 200554
8 201036
9 202035
10 201034
11 201332
12
Recent advances in positive allosteric modulators of the AMPA receptor.
200625
13 201025
14 201024
15 199923
16 200916
17 202216
18 199410
19 19947
20 20036

About John A. Morrow

John A. Morrow is a scholar working on Cellular and Molecular Neuroscience, Neurology, Biochemistry, Computational Theory and Mathematics and Psychiatry and Mental health, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuropeptides and Animal Physiology (5 papers), Computational Drug Discovery Methods (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Schizophrenia research and treatment (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Neurology (888 citations), Cellular and Molecular Neuroscience (686 citations), Cell Biology (127 citations), Biochemistry (55 citations) and Endocrine and Autonomic Systems (36 citations). John A. Morrow has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include E.M. Lutz, Anthony J. Harmar, George Fink, W. John Sheward, Matthias Trost, Matthias Mann, Genta Ito, Brian K. Fiske, Melanie Vetter and Esben Lorentzen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, FEBS Letters, Journal of Medicinal Chemistry, Science Translational Medicine and Psychopharmacology.

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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