Marion MacFarlane
- Immunology top 0.5%
- Phagocytosis and Immune Regulation 14
- interferon and immune responses 11
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 71
- RNA Interference and Gene Delivery 13
- Mitochondrial Function and Pathology 10
- Cancer Research top 1%
- NF-κB Signaling Pathways 10
- Oncology top 1%
- Cancer-related Molecular Pathways 12
- Cell Biology top 2%
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- Autophagy in Disease and Therapy 17
- Co-authors
- Gerald M. CohenKelvin CainMichelle A. HughesXiaoming SunNicholas W. HarperShawn B. BrattonClaudia LanglaisEmad S. Alnemri
- Journals
- Journal of Biological Chemistry (12 papers)Cell Death and Differentiation (9 papers)Molecular Cell (7 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Marion MacFarlane
110 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Immunology 2.8k
- Molecular Biology 8.0k
- Cancer Research 1.7k
- Oncology 1.9k
- Cell Biology 732
Countries citing papers authored by Marion MacFarlane
This map shows the geographic impact of Marion MacFarlane'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 Marion MacFarlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion MacFarlane more than expected).
Fields of papers citing papers by Marion MacFarlane
This network shows the impact of papers produced by Marion MacFarlane. 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 Marion MacFarlane. The network helps show where Marion MacFarlane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marion MacFarlane, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 7 | |
| 5 | 2021 | 52 | |
| 6 | 2020 | 8 | |
| 7 | 2017 | 68 | |
| 8 | 2016 | 41 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 31 | |
| 12 | 2010 | 61 | |
| 13 | 2005 | 119 | |
| 14 | 2004 | 37 | |
| 15 | 2004 | 90 | |
| 16 | 2003 | 194 | |
| 17 | The role of mitochondrial factors in apoptosis: a Russian roulette with more than one bulletbreakdown → | 2002 | 535 |
| 18 | 2000 | 187 | |
| 19 | 1999 | 17 | |
| 20 | 1998 | 150 |
About Marion MacFarlane
Marion MacFarlane is a scholar working on Immunology, Molecular Biology, Cancer Research, Biotechnology and Oncology, having authored 111 papers that have together received 10.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (71 papers), Autophagy in Disease and Therapy (17 papers), Phagocytosis and Immune Regulation (14 papers), RNA Interference and Gene Delivery (13 papers), Cancer-related Molecular Pathways (12 papers), interferon and immune responses (11 papers), Mitochondrial Function and Pathology (10 papers) and NF-κB Signaling Pathways (10 papers). The work is most often cited by research in Immunology (2.8k citations), Molecular Biology (8.0k citations), Cancer Research (1.7k citations), Oncology (1.9k citations) and Cell Biology (732 citations). Marion MacFarlane has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gerald M. Cohen, Kelvin Cain, Michelle A. Hughes, Xiaoming Sun, Nicholas W. Harper, Shawn B. Bratton, Claudia Langlais, Emad S. Alnemri, Jianguo Zhuang and Beni B. Wolf. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Differentiation, Molecular Cell, Oncogene and Biochemical Journal.
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.