Michael D. Coughlin
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Developmental Neuroscience top 1%
- Physiology top 10%
- Immunology
- Co-authors
- Margaret FahnestockBernadeta MichalskiBin XuGuanhua YuIra B. BlackJohn BienenstockRon H. SteadMotoaki Tomioka
- Topics
- Nerve injury and regeneration (11 papers)Neuropeptides and Animal Physiology (7 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Journals
- Journal of Biological ChemistryBiochemical JournalJournal of Allergy and Clinical Immunology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michael D. Coughlin
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 957
- Molecular Biology 511
- Developmental Neuroscience 353
- Physiology 333
- Immunology 125
Countries citing papers authored by Michael D. Coughlin
This map shows the geographic impact of Michael D. Coughlin'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 D. Coughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Coughlin more than expected).
Fields of papers citing papers by Michael D. Coughlin
This network shows the impact of papers produced by Michael D. Coughlin. 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 D. Coughlin. The network helps show where Michael D. Coughlin may publish in the future.
Co-authorship network of co-authors of Michael D. Coughlin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Coughlin. A scholar is included among the top collaborators of Michael D. Coughlin 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 Michael D. Coughlin. Michael D. Coughlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 111 | |
| 4 | 13 | |
| 5 | 148 | |
| 6 | 100 | |
| 7 | 11 | |
| 8 | 402 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 30 | |
| 14 | 27 | |
| 15 | 158 | |
| 16 | 18 | |
| 17 | 69 | |
| 18 | 41 | |
| 19 | 28 | |
| 20 | 77 |
About Michael D. Coughlin
Michael D. Coughlin is a scholar working on Cellular and Molecular Neuroscience, Genetics and Physiology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Neuropeptides and Animal Physiology (7 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (353 citations), Cellular and Molecular Neuroscience (957 citations) and Physiology (333 citations). Michael D. Coughlin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Margaret Fahnestock, Bernadeta Michalski, Bin Xu, Guanhua Yu, Ira B. Black, John Bienenstock, Ron H. Stead, Motoaki Tomioka, Hiroshi Matsuda and Amy Colquhoun. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Allergy and Clinical Immunology.
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.