Matthew D. Hammond
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Intracerebral and Subarachnoid Hemorrhage Research 9
- Neurological Disease Mechanisms and Treatments 1
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Intracerebral and Subarachnoid Hemorrhage Research 9
- Neurological Disease Mechanisms and Treatments 1
- Immunology top 10%
- Immune cells in cancer 8
- Ophthalmology top 5%
- Intraocular Surgery and Lenses 2
- Developmental Neuroscience top 10%
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- Corneal surgery and disorders 2
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- Orthopaedic implants and arthroplasty 1
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- IgG4-Related and Inflammatory Diseases 1
- Co-authors
- Lauren SansingLouise D. McCulloughYouxi AiRoslyn A. TaylorScott E. KasnerMichael T. MullenWilliam P. MadiganKraig S. Bower
- Cited by
- NeurologyImmunology
- Journals
- Journal of Clinical Investigation (2 papers)Journal of Neuroscience (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Matthew D. Hammond
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Neurology 475
- Neurology 366
- Immunology 324
- Ophthalmology 97
- Developmental Neuroscience 42
Countries citing papers authored by Matthew D. Hammond
This map shows the geographic impact of Matthew D. Hammond'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 Matthew D. Hammond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Hammond more than expected).
Fields of papers citing papers by Matthew D. Hammond
This network shows the impact of papers produced by Matthew D. Hammond. 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 Matthew D. Hammond. The network helps show where Matthew D. Hammond may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Hammond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 27 | |
| 3 | 2019 | 16 | |
| 4 | 2019 | 26 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 137 | |
| 7 | 2016 | 213 | |
| 8 | 2015 | 2 | |
| 9 | 2015 | 1 | |
| 10 | 2014 | 167 | |
| 11 | 2014 | 121 | |
| 12 | 2014 | 12 | |
| 13 | 2014 | 38 | |
| 14 | 2013 | 150 | |
| 15 | 2012 | 52 | |
| 16 | 2005 | 82 | |
| 17 | 2004 | 21 | |
| 18 | 2004 | 16 |
About Matthew D. Hammond
Matthew D. Hammond is a scholar working on Neurology, Neurology and Immunology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Immune cells in cancer (8 papers), Intraocular Surgery and Lenses (2 papers), Corneal surgery and disorders (2 papers), Orthopaedic implants and arthroplasty (1 paper), IgG4-Related and Inflammatory Diseases (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (475 citations), Neurology (366 citations) and Immunology (324 citations). Matthew D. Hammond has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Lauren Sansing, Louise D. McCullough, Youxi Ai, Roslyn A. Taylor, Scott E. Kasner, Michael T. Mullen, William P. Madigan, Kraig S. Bower, Matthias Mack and Bharti Manwani. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and The Journal of 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.