Julia Pakpoor
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
Papers in
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- Multiple Sclerosis Research Studies 23
- Vitamin D Research Studies 2
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- Pharmaceutical industry and healthcare 5
- Co-authors
- Gavin Giovannoni (16 shared papers)Sreeram V Ramagopalan (17 shared papers)Raph Goldacre (9 shared papers)Michael J Goldacre (13 shared papers)Giulio Disanto (10 shared papers)Alastair John Noyce (2 shared papers)Eduardo De Pablo‐Fernández (1 shared paper)Thomas T. Warner (1 shared paper)
- Journals
- Neurology (5 papers)Multiple Sclerosis Journal (5 papers)Journal of Neurology (3 papers)F1000Research (3 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Julia Pakpoor
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Pathology and Forensic Medicine 546
- Neurology 431
- Oncology 95
- Statistics, Probability and Uncertainty 32
- Public Health, Environmental and Occupational Health 123
Countries citing papers authored by Julia Pakpoor
This map shows the geographic impact of Julia Pakpoor'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 Julia Pakpoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Pakpoor more than expected).
Fields of papers citing papers by Julia Pakpoor
This network shows the impact of papers produced by Julia Pakpoor. 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 Julia Pakpoor. The network helps show where Julia Pakpoor may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Pakpoor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 241 | |
| 2 | 2018 | 196 | |
| 3 | 2020 | 134 | |
| 4 | 2015 | 104 | |
| 5 | 2014 | 82 | |
| 6 | 2012 | 76 | |
| 7 | 2012 | 56 | |
| 8 | 2024 | 52 | |
| 9 | 2013 | 46 | |
| 10 | 2017 | 44 | |
| 11 | 2021 | 40 | |
| 12 | 2012 | 38 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 37 | |
| 15 | 2016 | 37 | |
| 16 | 2015 | 36 | |
| 17 | 2017 | 28 | |
| 18 | 2013 | 26 | |
| 19 | 2017 | 21 | |
| 20 | 2016 | 20 |
About Julia Pakpoor
Julia Pakpoor is a scholar working on Pathology and Forensic Medicine, Pharmacology, Neurology, Statistics and Probability and Genetics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (23 papers), Pharmaceutical industry and healthcare (5 papers), Inflammatory Bowel Disease (4 papers), Statistical Methods in Clinical Trials (3 papers), Vitamin D Research Studies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Takotsubo Cardiomyopathy and Associated Phenomena (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (546 citations), Neurology (431 citations), Oncology (95 citations), Statistics, Probability and Uncertainty (32 citations) and Public Health, Environmental and Occupational Health (123 citations). Julia Pakpoor has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gavin Giovannoni, Sreeram V Ramagopalan, Raph Goldacre, Michael J Goldacre, Giulio Disanto, Alastair John Noyce, Eduardo De Pablo‐Fernández, Thomas T. Warner, Dobson Ruth and Klaus Schmierer. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Journal of Neurology, F1000Research and PLoS ONE.
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.