Eva M. Pålsson‐McDermott
- Immunology top 0.5%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Luke O'neillFrederick J. SheedyCiana DiskinDerek JohnsonElizabeth J. HennessyQingguo RuanYouhai ChenAnnie M. Curtis
- Topics
- Immune cells in cancer (12 papers)Immune Response and Inflammation (11 papers)NF-κB Signaling Pathways (6 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Eva M. Pålsson‐McDermott
34 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 3.7k
- Molecular Biology 2.8k
- Cancer Research 1.7k
- Epidemiology 948
- Physiology 668
Countries citing papers authored by Eva M. Pålsson‐McDermott
This map shows the geographic impact of Eva M. Pålsson‐McDermott'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 Eva M. Pålsson‐McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva M. Pålsson‐McDermott more than expected).
Fields of papers citing papers by Eva M. Pålsson‐McDermott
This network shows the impact of papers produced by Eva M. Pålsson‐McDermott. 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 Eva M. Pålsson‐McDermott. The network helps show where Eva M. Pålsson‐McDermott may publish in the future.
Co-authorship network of co-authors of Eva M. Pålsson‐McDermott
This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Pålsson‐McDermott. A scholar is included among the top collaborators of Eva M. Pålsson‐McDermott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva M. Pålsson‐McDermott. Eva M. Pålsson‐McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammationbreakdown → | 20 |
| 2 | 0 | |
| 3 | 11 | |
| 4 | Targeting immunometabolism as an anti-inflammatory strategybreakdown → | 364 |
| 5 | 75 | |
| 6 | 155 | |
| 7 | 227 | |
| 8 | 137 | |
| 9 | 220 | |
| 10 | Pyruvate Kinase M2 Regulates Hif-1α Activity and IL-1β Induction and Is a Critical Determinant of the Warburg Effect in LPS-Activated Macrophagesbreakdown → | 1029 |
| 11 | 48 | |
| 12 | 404 | |
| 13 | 28 | |
| 14 | 113 | |
| 15 | 68 | |
| 16 | 38 | |
| 17 | 112 | |
| 18 | Signal transduction by the lipopolysaccharide receptor, Toll‐like receptor‐4breakdown → | 1012 |
| 19 | 102 | |
| 20 | Mal (MyD88-adapter-like) is required for Toll-like receptor-4 signal transductionbreakdown → | 1006 |
About Eva M. Pålsson‐McDermott
Eva M. Pålsson‐McDermott is a scholar working on Immunology, Biological Psychiatry and Cancer Research, having authored 35 papers that have together received 7.2k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Immune Response and Inflammation (11 papers) and NF-κB Signaling Pathways (6 papers). The work is most often cited by research in Immunology (3.7k citations), Cancer Research (1.7k citations) and Biological Psychiatry (174 citations). Eva M. Pålsson‐McDermott has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Luke O'neill, Frederick J. Sheedy, Ciana Diskin, Derek Johnson, Elizabeth J. Hennessy, Qingguo Ruan, Youhai Chen, Annie M. Curtis, Cara Martin and John O’Leary. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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.