Jennifer Graves
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies 78
- Biological Psychiatry top 2%
- Neurology top 2%
- Peripheral Neuropathies and Disorders 20
- Long-Term Effects of COVID-19 8
- Autoimmune Neurological Disorders and Treatments 7
- Ophthalmology top 2%
- Ocular Diseases and Behçet’s Syndrome 12
- Retinal and Optic Conditions 9
- Neurology top 5%
- Peripheral Neuropathies and Disorders 20
- Long-Term Effects of COVID-19 8
- Autoimmune Neurological Disorders and Treatments 7
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- Systemic Lupus Erythematosus Research 11
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- Autoimmune and Inflammatory Disorders Research 8
- Co-authors
- Emmanuelle WaubantRegina M. TroxellIsabella Peixoto de BarcelosJeffrey M. GelfandBardia NourbakhshA. J. GreenHelen TremlettDaniel M. Schwartz
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Jennifer Graves
110 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 139
- Pathology and Forensic Medicine 1.8k
- Biological Psychiatry 165
- Neurology 714
- Ophthalmology 338
- Neurology 226
Countries citing papers authored by Jennifer Graves
This map shows the geographic impact of Jennifer Graves'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 Jennifer Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Graves more than expected).
Fields of papers citing papers by Jennifer Graves
This network shows the impact of papers produced by Jennifer Graves. 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 Jennifer Graves. The network helps show where Jennifer Graves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Graves, 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 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 33 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 50 | |
| 13 | 2021 | 26 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 92 | |
| 17 | 2019 | 49 | |
| 18 | 2019 | 20 | |
| 19 | 2018 | 61 | |
| 20 | Genetic variation in the gene LRP2 increases relapse risk in multiple sclerosis | 2017 | 1 |
About Jennifer Graves
Jennifer Graves is a scholar working on Pathology and Forensic Medicine, Neurology and Ophthalmology, having authored 119 papers that have together received 3.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (78 papers), Peripheral Neuropathies and Disorders (20 papers), Ocular Diseases and Behçet’s Syndrome (12 papers), Systemic Lupus Erythematosus Research (11 papers), Retinal and Optic Conditions (9 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Long-Term Effects of COVID-19 (8 papers) and Autoimmune Neurological Disorders and Treatments (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Biological Psychiatry (165 citations) and Neurology (714 citations). Jennifer Graves has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Emmanuelle Waubant, Regina M. Troxell, Isabella Peixoto de Barcelos, Jeffrey M. Gelfand, Bardia Nourbakhsh, A. J. Green, Helen Tremlett, Daniel M. Schwartz, Rachel Nolan and Ellen M. Mowry. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Brain.
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.