Mark E. Gurney
- Neurology top 0.05%
- Amyotrophic Lateral Sclerosis Research 29
- Neurological diseases and metabolism 13
- Genetics top 0.1%
- Neurogenetic and Muscular Disorders Research 13
- Neurology top 0.2%
- Amyotrophic Lateral Sclerosis Research 29
- Neurological diseases and metabolism 13
- Physiology top 0.5%
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- Immune Cell Function and Interaction 12
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- CAR-T cell therapy research 9
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- HIV Research and Treatment 8
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- Acute Myeloid Leukemia Research 7
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- HIV/AIDS drug development and treatment 6
- Co-authors
- Mauro C. Dal CantoYoung W. KwonPing ZhaiM. C. Dal CantoArlene Y. ChiuTeepu SiddiqueAfif HentatiHan‐Xiang Deng
- Partner nations
- United StatesIrelandIceland
In The Last Decade
Mark E. Gurney
88 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Neurology 5.9k
- Genetics 3.2k
- Neurology 1.7k
- Physiology 2.7k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by Mark E. Gurney
This map shows the geographic impact of Mark E. Gurney'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 Mark E. Gurney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Gurney more than expected).
Fields of papers citing papers by Mark E. Gurney
This network shows the impact of papers produced by Mark E. Gurney. 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 Mark E. Gurney. The network helps show where Mark E. Gurney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark E. Gurney, 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 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 22 | |
| 7 | 2009 | 28 | |
| 8 | 2004 | 27 | |
| 9 | 2002 | 58 | |
| 10 | aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulationbreakdown → | 2002 | 655 |
| 11 | 2000 | 2 | |
| 12 | 1999 | 23 | |
| 13 | 1998 | 38 | |
| 14 | 1997 | 67 | |
| 15 | 1995 | 351 | |
| 16 | 1995 | 261 | |
| 17 | 1994 | 14 | |
| 18 | 1993 | 63 | |
| 19 | 1988 | 31 | |
| 20 | 1987 | 14 |
About Mark E. Gurney
Mark E. Gurney is a scholar working on Neurology, Neurology and Genetics, having authored 89 papers that have together received 11.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (29 papers), Neurological diseases and metabolism (13 papers), Neurogenetic and Muscular Disorders Research (13 papers), Immune Cell Function and Interaction (12 papers), CAR-T cell therapy research (9 papers), HIV Research and Treatment (8 papers), Acute Myeloid Leukemia Research (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Neurology (5.9k citations), Genetics (3.2k citations) and Neurology (1.7k citations). Mark E. Gurney has collaborated with scholars based in United States, Ireland and Iceland. Frequent co-authors include Mauro C. Dal Canto, Young W. Kwon, Ping Zhai, M. C. Dal Canto, Arlene Y. Chiu, Teepu Siddique, Afif Hentati, Han‐Xiang Deng, Robert Sufit and Haifeng Pu. Their work appears in journals such as Science, British Journal of Haematology, Neuroreport, Blood and Neurosurgery.
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.