Lisa M. Maier
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 2%
- Diabetes and associated disorders
- Genetic Associations and Epidemiology
Papers in
- Immunology 12
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 3
- IL-33, ST2, and ILC Pathways 2
- Genetics 10
- Diabetes and associated disorders 9
- Co-authors
- David A. Hafler (7 shared papers)Linda S. Wicker (5 shared papers)Philip L. De Jager (5 shared papers)John A. Todd (8 shared papers)Neil Walker (6 shared papers)Joanna M. M. Howson (7 shared papers)Clare Baecher‐Allan (4 shared papers)Jason D. Cooper (4 shared papers)
- Journals
- The Journal of Immunology (5 papers)Proceedings of the National Academy of Sciences (2 papers)Immunological Reviews (1 paper)Genes and Immunity (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Lisa M. Maier
21 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 120
- Immunology 966
- Genetics 850
- Statistics and Probability 136
- Biophysics 90
- Endocrinology, Diabetes and Metabolism 204
Countries citing papers authored by Lisa M. Maier
This map shows the geographic impact of Lisa M. Maier'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. Maier 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. Maier more than expected).
Fields of papers citing papers by Lisa M. Maier
This network shows the impact of papers produced by Lisa M. Maier. 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. Maier. The network helps show where Lisa M. Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa M. Maier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 423 | |
| 2 | 2005 | 355 | |
| 3 | 2009 | 258 | |
| 4 | 2009 | 233 | |
| 5 | 2009 | 229 | |
| 6 | 2009 | 188 | |
| 7 | 2008 | 177 | |
| 8 | 2009 | 122 | |
| 9 | 2008 | 108 | |
| 10 | 2005 | 87 | |
| 11 | 2009 | 57 | |
| 12 | 2007 | 54 | |
| 13 | 2006 | 52 | |
| 14 | 2006 | 52 | |
| 15 | 2005 | 38 | |
| 16 | 2007 | 38 | |
| 17 | 2009 | 36 | |
| 18 | 2012 | 29 | |
| 19 | 2009 | 27 | |
| 20 | 2011 | 23 |
About Lisa M. Maier
Lisa M. Maier is a scholar working on Immunology, Genetics, Molecular Biology, Oncology and Surgery, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (3 papers), Pancreatic function and diabetes (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (966 citations), Genetics (850 citations), Statistics and Probability (136 citations), Biophysics (90 citations) and Endocrinology, Diabetes and Metabolism (204 citations). Lisa M. Maier has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include David A. Hafler, Linda S. Wicker, Philip L. De Jager, John A. Todd, Neil Walker, Joanna M. M. Howson, Clare Baecher‐Allan, Jason D. Cooper, David E. Anderson and David E. Anderson. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Immunological Reviews, Genes and Immunity and Journal of Neuro-Oncology.
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.