Négar Khanlou
- Biological Psychiatry top 5%
- Virology top 5%
- Neurology top 5%
- Cerebrovascular and genetic disorders 4
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Neurology top 5%
- Cerebrovascular and genetic disorders 4
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Molecular Biology top 10%
- Muscle Physiology and Disorders 6
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- Glioma Diagnosis and Treatment 7
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- Inflammatory Myopathies and Dermatomyositis 4
- Meningioma and schwannoma management 4
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- Brain Metastases and Treatment 3
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- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Harry V. VintersIan EverallGary E. LandrethErin G. Reed-GeaghanQingguang JiangNoam ZelcerPeter TontonozShino Magaki
- Journals
- Proceedings of the National Academy of Sciences (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Négar Khanlou
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 135
- Biological Psychiatry 94
- Virology 170
- Neurology 236
- Neurology 206
- Molecular Biology 909
Countries citing papers authored by Négar Khanlou
This map shows the geographic impact of Négar Khanlou'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 Négar Khanlou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Négar Khanlou more than expected).
Fields of papers citing papers by Négar Khanlou
This network shows the impact of papers produced by Négar Khanlou. 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 Négar Khanlou. The network helps show where Négar Khanlou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Négar Khanlou, 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 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 63 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 101 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 87 | |
| 12 | 2015 | 237 | |
| 13 | 2015 | 17 | |
| 14 | 2012 | 52 | |
| 15 | 2009 | 153 | |
| 16 | 2009 | 6 | |
| 17 | 2008 | 23 | |
| 18 | 2007 | 291 | |
| 19 | 2003 | 1 | |
| 20 | Sweet’s syndrome associated with G-CSF treatment | 2000 | 1 |
About Négar Khanlou
Négar Khanlou is a scholar working on Health Informatics, Structural Biology and Neurology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Muscle Physiology and Disorders (6 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Meningioma and schwannoma management (4 papers), Cerebrovascular and genetic disorders (4 papers), Brain Metastases and Treatment (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Virology (170 citations) and Neurology (236 citations). Négar Khanlou has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Harry V. Vinters, Ian Everall, Gary E. Landreth, Erin G. Reed-Geaghan, Qingguang Jiang, Noam Zelcer, Peter Tontonoz, Shino Magaki, William H. Yong and Ming T. Tsuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.