Lisa Larson
- Immunology top 5%
- Oncology top 10%
- Genetics top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Leroy HoodLeslie P. WeinerAndrea WoodsDennis M. ZallerJoan GovermanSatyabrata NandiMarc EderyWalter Imagawa
- Topics
- Cancer Cells and Metastasis (6 papers)Estrogen and related hormone effects (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Cited by
- ImmunologyOncologyGenetics
- Partner nations
- United StatesSwedenJapan
In The Last Decade
Lisa Larson
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 481
- Oncology 289
- Genetics 289
- Molecular Biology 285
- Pathology and Forensic Medicine 136
Countries citing papers authored by Lisa Larson
This map shows the geographic impact of Lisa Larson'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 Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Larson more than expected).
Fields of papers citing papers by Lisa Larson
This network shows the impact of papers produced by Lisa Larson. 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 Larson. The network helps show where Lisa Larson may publish in the future.
Co-authorship network of co-authors of Lisa Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Larson. A scholar is included among the top collaborators of Lisa Larson 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 Larson. Lisa Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pillars article: Transgenic mice that express a myelin basic protein-specific T cell receptor develop spontaneous autoimmunity. Cell. 1993. 72: 551-560. | 1 |
| 2 | Transgenic mice that express a myelin basic protein-specific T cell receptor develop spontaneous autoimmunitybreakdown → | 545 |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 32 | |
| 6 | 27 | |
| 7 | Long-term alterations in histology and steroid receptor levels of the genital tract and mammary gland following neonatal exposure of female BALB/cCrgl mice to various doses of diethylstilbestrol. | 79 |
| 8 | 53 | |
| 9 | Heterogeneity in the hormonal responsiveness of clones derived from the 13762NF rat mammary tumor. | 9 |
| 10 | 10 | |
| 11 | 73 | |
| 12 | 64 | |
| 13 | 34 | |
| 14 | 88 | |
| 15 | 2 | |
| 16 | 44 | |
| 17 | 37 | |
| 18 | 27 |
About Lisa Larson
Lisa Larson is a scholar working on Immunology and Allergy, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Estrogen and related hormone effects (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (481 citations), Oncology (289 citations) and Genetics (289 citations). Lisa Larson has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Leroy Hood, Leslie P. Weiner, Andrea Woods, Dennis M. Zaller, Joan Goverman, Satyabrata Nandi, Marc Edery, Walter Imagawa, Jason Yang and S. Nandi. Their work appears in journals such as Cell, JNCI Journal of the National Cancer Institute and Endocrinology.
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.