Lisa M. Sedger
- Immunology top 0.5%
- Molecular Biology top 5%
- Oncology top 5%
- Epidemiology top 5%
- Cancer Research top 5%
- Co-authors
- Michael McDermottJacques J. PeschonSteven R. WileyMoira GlaccumJoAnn C. L. SchuhSebastian JoyceK CharrierEric Butz
- Topics
- Immune Response and Inflammation (7 papers)interferon and immune responses (6 papers)Virus-based gene therapy research (6 papers)
- Cited by
- ImmunologyVirologyCancer Research
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Lisa M. Sedger
34 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Immunology 2.7k
- Molecular Biology 1.4k
- Oncology 727
- Epidemiology 715
- Cancer Research 506
Countries citing papers authored by Lisa M. Sedger
This map shows the geographic impact of Lisa M. Sedger'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 Lisa M. Sedger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Sedger more than expected).
Fields of papers citing papers by Lisa M. Sedger
This network shows the impact of papers produced by Lisa M. Sedger. 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 Lisa M. Sedger. The network helps show where Lisa M. Sedger may publish in the future.
Co-authorship network of co-authors of Lisa M. Sedger
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Sedger. A scholar is included among the top collaborators of Lisa M. Sedger 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 Lisa M. Sedger. Lisa M. Sedger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 101 | |
| 5 | 14 | |
| 6 | 38 | |
| 7 | TNF and TNF-receptors: From mediators of cell death and inflammation to therapeutic giants – past, present and futurebreakdown → | 602 |
| 8 | 3 | |
| 9 | 52 | |
| 10 | 15 | |
| 11 | 106 | |
| 12 | 10 | |
| 13 | 52 | |
| 14 | 146 | |
| 15 | Reversible Defects in Natural Killer and Memory Cd8 T Cell Lineages in Interleukin 15–Deficient Micebreakdown → | 1352 |
| 16 | 408 | |
| 17 | 210 | |
| 18 | 85 | |
| 19 | 21 | |
| 20 | 2 |
About Lisa M. Sedger
Lisa M. Sedger is a scholar working on Virology, Immunology and Cancer Research, having authored 36 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), interferon and immune responses (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Immunology (2.7k citations), Virology (162 citations) and Cancer Research (506 citations). Lisa M. Sedger has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Michael McDermott, Jacques J. Peschon, Steven R. Wiley, Moira Glaccum, JoAnn C. L. Schuh, Sebastian Joyce, K Charrier, Eric Butz, Kenneth Brasel and Monica E. Embers. Their work appears in journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.
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.