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
Papers in
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- Multiple Sclerosis Research Studies 16
- Systemic Sclerosis and Related Diseases 3
- Vitamin D Research Studies 2
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- Liver Disease Diagnosis and Treatment 2
- Microscopic Colitis 2
- Co-authors
- Gavin Giovannoni (16 shared papers)Sreeram V Ramagopalan (13 shared papers)Michael J Goldacre (12 shared papers)Raph Goldacre (8 shared papers)Giulio Disanto (8 shared papers)Alastair J. Noyce (2 shared papers)Thomas T. Warner (1 shared paper)Eduardo De Pablo‐Fernández (1 shared paper)
- Journals
- Multiple Sclerosis Journal (4 papers)Neurology (4 papers)PLoS ONE (3 papers)Multiple Sclerosis and Related Disorders (2 papers)BMC Neurology (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Julia Pakpoor
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Pathology and Forensic Medicine 421
- Neurology 210
- Immunology 148
- Family Practice 12
- Neurology 49
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 174 | |
| 2 | 2020 | 118 | |
| 3 | 2015 | 103 | |
| 4 | 2014 | 75 | |
| 5 | 2012 | 70 | |
| 6 | 2012 | 54 | |
| 7 | 2013 | 43 | |
| 8 | 2017 | 40 | |
| 9 | 2016 | 36 | |
| 10 | 2012 | 35 | |
| 11 | 2014 | 34 | |
| 12 | 2015 | 33 | |
| 13 | 2021 | 33 | |
| 14 | 2013 | 25 | |
| 15 | 2017 | 20 | |
| 16 | 2016 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2014 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2014 | 17 |
About Julia Pakpoor
Julia Pakpoor is a scholar working on Pathology and Forensic Medicine, Epidemiology, Oncology, Rheumatology and Neurology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (16 papers), Systemic Lupus Erythematosus Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Pharmaceutical industry and healthcare (2 papers), Polyomavirus and related diseases (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Vitamin D Research Studies (2 papers) and Microscopic Colitis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (421 citations), Neurology (210 citations), Immunology (148 citations), Family Practice (12 citations) and Neurology (49 citations). Julia Pakpoor has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gavin Giovannoni, Sreeram V Ramagopalan, Michael J Goldacre, Raph Goldacre, Giulio Disanto, Alastair J. Noyce, Thomas T. Warner, Eduardo De Pablo‐Fernández, Ruth Dobson and Klaus Schmierer. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, PLoS ONE, Multiple Sclerosis and Related Disorders and BMC Neurology.
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.