Margaret E. Gatti‐Mays
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 25
- HER2/EGFR in Cancer Research 10
- CAR-T cell therapy research 8
- Cancer Treatment and Pharmacology 7
- Immunology top 5%
- Immunotherapy and Immune Responses 17
-
- Breast Cancer Treatment Studies 9
- Cancer Genomics and Diagnostics 6
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- Advanced Breast Cancer Therapies 10
- Co-authors
- James L. GulleyMarijo BilušićJulie CollinsJulius StraussJason M. RedmanJeffrey SchlomRenee N. DonahueJennifer L. Marté
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Cancer Research (10 papers)Journal of Clinical Oncology (9 papers)The Oncologist (7 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Margaret E. Gatti‐Mays
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Oncology 746
- Immunology 539
- Cancer Research 137
- Pulmonary and Respiratory Medicine 170
- Reproductive Medicine 41
Countries citing papers authored by Margaret E. Gatti‐Mays
This map shows the geographic impact of Margaret E. Gatti‐Mays'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 Margaret E. Gatti‐Mays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret E. Gatti‐Mays more than expected).
Fields of papers citing papers by Margaret E. Gatti‐Mays
This network shows the impact of papers produced by Margaret E. Gatti‐Mays. 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 Margaret E. Gatti‐Mays. The network helps show where Margaret E. Gatti‐Mays may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margaret E. Gatti‐Mays, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 30 | |
| 13 | 2022 | 89 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 20 | |
| 17 | 2019 | 45 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 88 | |
| 20 | 2018 | 15 |
About Margaret E. Gatti‐Mays
Margaret E. Gatti‐Mays is a scholar working on Oncology, Cancer Research and Immunology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (25 papers), Immunotherapy and Immune Responses (17 papers), HER2/EGFR in Cancer Research (10 papers), Advanced Breast Cancer Therapies (10 papers), Breast Cancer Treatment Studies (9 papers), CAR-T cell therapy research (8 papers), Cancer Treatment and Pharmacology (7 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Oncology (746 citations), Immunology (539 citations) and Cancer Research (137 citations). Margaret E. Gatti‐Mays has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James L. Gulley, Marijo Bilušić, Julie Collins, Julius Strauss, Jason M. Redman, Jeffrey Schlom, Renee N. Donahue, Jennifer L. Marté, Ravi A. Madan and Zihai Li. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, The Oncologist, Breast Cancer Research and Treatment and Annals of 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.