Parham Nejad
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
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- Extracellular vesicles in disease 3
- DNA Repair Mechanisms 2
- Single-cell and spatial transcriptomics 2
- Sphingolipid Metabolism and Signaling 1
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- David A. Bennett (2 shared papers)Julie A. Schneider (2 shared papers)Philip L. De Jager (2 shared papers)Jishu Xu (2 shared papers)Charles C. White (2 shared papers)Roopali Gandhi (11 shared papers)Howard L. Weiner (5 shared papers)Tanuja Chitnis (4 shared papers)
- Journals
- Neurology (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Nature Communications (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Parham Nejad
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Neurology 306
- Biological Psychiatry 58
- Cancer Research 229
- Developmental Neuroscience 47
- Physiology 210
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 | 2018 | 328 | |
| 2 | 2018 | 296 | |
| 3 | 2013 | 220 | |
| 4 | 2016 | 80 | |
| 5 | 2015 | 36 | |
| 6 | 2014 | 31 | |
| 7 | 2012 | 27 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2017 | 4 | |
| 12 | CAPACITY BUILDING FOR PRIORITY SETTING IN FARROKHSHAHR POPULATION | 2006 | 3 |
| 13 | 2017 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 2 | |
| 16 | SPATIAL DISTRIBUTION OF MULTIPLE SCLEROSIS DISEASE IN CHAHARMAHAL VA BAKHTIARI PROVINCE IN 20-YEAR PERIOD | 2013 | 2 |
| 17 | 2013 | 1 | |
| 18 | 2024 | 0 |
About Parham Nejad
Parham Nejad is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Biophysics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (3 papers), DNA Repair Mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune cells in cancer (2 papers), Cell Image Analysis Techniques (2 papers) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Neurology (306 citations), Biological Psychiatry (58 citations), Cancer Research (229 citations), Developmental Neuroscience (47 citations) and Physiology (210 citations). Parham Nejad has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include David A. Bennett, Julie A. Schneider, Philip L. De Jager, Jishu Xu, Charles C. White, Roopali Gandhi, Howard L. Weiner, Tanuja Chitnis, Pia Kivisäkk and Taha Gholipour. Their work appears in journals such as Neurology, Cancer Research, Journal of Clinical Oncology, Nature Communications and Journal of Neuroinflammation.
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.