Michael J. O’Connor

87 papers receiving 4.2k citations

Peers

Michael J. O’Connor
Comparison fields: 5 of 163
  • Psychiatry and Mental health 1.7k
  • Virology 379
  • Neurology 458
  • Cellular and Molecular Neuroscience 880
  • Cognitive Neuroscience 593
Replace Serge Weis with:
Serge Weis Germany
Dikran S. Horoupian United States
Agustín Legido United States
Philip J. Luthert United Kingdom
Jean Aicardi France
Parthasarathy Satishchandra India
Hideo Matsuzaki Japan
Christian Eggers Germany
Bert Gold United States
Kousaku Ohno Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. O’Connor. 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 Michael J. O’Connor. The network helps show where Michael J. O’Connor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994488
2 1999275
3 2003241
4 1999235
5
CXCR-4 (Fusin), a co-receptor for the type 1 human immunodeficiency virus (HIV-1), is expressed in the human brain in a variety of cell types, including microglia and neurons.
1997201
6 1989127
7 1995121
8 1995121
9 1989116
10 1995111
11 2003107
12 2002104
13 2005100
14 199592
15 199086
16 200681
17 199577
18 199273
19 199769
20 199868

About Michael J. O’Connor

Michael J. O’Connor is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 88 papers that have together received 4.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (27 papers), Neuroscience and Neuropharmacology Research (17 papers), Pharmacological Effects and Toxicity Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers), HIV Research and Treatment (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Glioma Diagnosis and Treatment (5 papers) and Neurobiology of Language and Bilingualism (4 papers). The work is most often cited by research in Psychiatry and Mental health (1.7k citations), Virology (379 citations), Neurology (458 citations), Cellular and Molecular Neuroscience (880 citations) and Cognitive Neuroscience (593 citations). Michael J. O’Connor has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael R. Sperling, Joyce Liporace, Jacqueline A. French, Andrew J. Saykin, Francisco González‐Scarano, Ruben C. Gur, Eriko Matsuo, John Q. Trojanowski, Ryong‐Woon Shin and Virginia M.‐Y. Lee. Their work appears in journals such as Epilepsia, Neurology, Annals of Neurology, Epilepsy Research and Journal of neurosurgery.

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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