Daniel J. Kerr

474 total citations
12 papers, 351 citations indexed

About

Daniel J. Kerr is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Daniel J. Kerr has authored 12 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Daniel J. Kerr's work include Cancer, Hypoxia, and Metabolism (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Daniel J. Kerr is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Daniel J. Kerr collaborates with scholars based in United States, Australia and South Korea. Daniel J. Kerr's co-authors include Daryl S. Spinner, Thomas Wısnıewskı, Harry C. Meeker, Allal Boutajangout, Kristyn A. Bates, Henrieta Scholtzova, Richard J. Kascsak, Pankaj Mehta, Mario J. Saldana and Samuel A. Yousem and has published in prestigious journals such as Journal of Neuroscience, Journal of Virology and CHEST Journal.

In The Last Decade

Daniel J. Kerr

12 papers receiving 337 citations

Peers

Daniel J. Kerr
Comparison fields: 5 of 61
  • Physiology 150
  • Neurology 127
  • Molecular Biology 97
  • Surgery 89
  • Immunology 72
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Isabelle Paré Canada
Christian Gauthier United States
Katie Mayne United Kingdom
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Lisa Sikkema United States
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Malene Ambjørn Denmark
Rainer Akkermann Germany
Μαρία Καραμίτα Greece
Kei Shioda Japan
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Citations per field, relative to Daniel J. Kerr
Daniel J. Kerr · 1×
Citations per year, relative to Daniel J. Kerr
Daniel J. Kerr · 1×

Countries citing papers authored by Daniel J. Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Kerr

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Kerr. A scholar is included among the top collaborators of Daniel J. Kerr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Kerr. Daniel J. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 1
3 10
4 19
5
The function of the phospholipid flippase Atp8a1 in neurotransmission, brain development and autistic behavior
1
6 142
7 1
8 44
9 35
10 4
11 84
12 9

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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