Parham Nejad
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Multiple Sclerosis Research Studies
Papers in
-
- Multiple Sclerosis Research Studies 5
-
- Extracellular vesicles in disease 7
- Gut microbiota and health 2
- Co-authors
- Roopali Gandhi (10 shared papers)Howard L. Weiner (5 shared papers)Pia Kivisäkk (4 shared papers)Tanuja Chitnis (4 shared papers)Taha Gholipour (3 shared papers)Hillary Hei (3 shared papers)Brian C. Healy (3 shared papers)Katie J. Ryan (1 shared paper)
- Journals
- Nature Communications (3 papers)Neurology (2 papers)Cell (2 papers)Blood Advances (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Parham Nejad
20 papers receiving 2.6k citations
Parham Nejad's Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 229
- Pathology and Forensic Medicine 401
- Molecular Biology 1000
- Cancer Research 100
- Hematology 111
Countries citing papers authored by Parham Nejad
This map shows the geographic impact of Parham Nejad'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 Parham Nejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parham Nejad more than expected).
Fields of papers citing papers by Parham Nejad
This network shows the impact of papers produced by Parham Nejad. 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 Parham Nejad. The network helps show where Parham Nejad may publish in the future.
Co-authors
The 25 scholars most cited alongside Parham Nejad, 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 | Alterations of the human gut microbiome in multiple sclerosis Hit paper breakdown → | 2016 | 1080 |
| 2 | 2018 | 377 | |
| 3 | 2019 | 251 | |
| 4 | 2019 | 249 | |
| 5 | 2013 | 227 | |
| 6 | 2020 | 170 | |
| 7 | 2016 | 85 | |
| 8 | 2015 | 58 | |
| 9 | 2015 | 37 | |
| 10 | 2014 | 36 | |
| 11 | 2012 | 31 | |
| 12 | 2018 | 11 | |
| 13 | 2025 | 9 | |
| 14 | 2017 | 4 | |
| 15 | SPATIAL DISTRIBUTION OF MULTIPLE SCLEROSIS DISEASE IN CHAHARMAHAL VA BAKHTIARI PROVINCE IN 20-YEAR PERIOD | 2013 | 2 |
| 16 | 2016 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2026 | 1 | |
| 20 | 2026 | 1 |
About Parham Nejad
Parham Nejad is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Biophysics, Neurology and Cell Biology, having authored 20 papers that have together received 2.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), Multiple Sclerosis Research Studies (5 papers), Gut microbiota and health (2 papers), Microtubule and mitosis dynamics (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Acute Myeloid Leukemia Research (1 paper), Neuroblastoma Research and Treatments (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Neurology (229 citations), Pathology and Forensic Medicine (401 citations), Molecular Biology (1000 citations), Cancer Research (100 citations) and Hematology (111 citations). Parham Nejad has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Roopali Gandhi, Howard L. Weiner, Pia Kivisäkk, Tanuja Chitnis, Taha Gholipour, Hillary Hei, Brian C. Healy, Katie J. Ryan, Alexandra–Chloé Villani and Charles C. White. Their work appears in journals such as Nature Communications, Neurology, Cell, Blood Advances and Journal of Medicinal Chemistry.
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.