Mary M. Tomayko
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 2%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- C. Patrick ReynoldsMark J. ShlomchikKim L. Good‐JacobsonShannon M. AndersonMichael P. CancroLieping ChenArlene H. SharpeNatalie C. Steinel
- Topics
- Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Immunotherapy and Immune Responses (11 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineNature Biotechnology
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Mary M. Tomayko
38 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 1.8k
- Molecular Biology 1.2k
- Oncology 1.0k
- Cancer Research 389
- Pathology and Forensic Medicine 298
Countries citing papers authored by Mary M. Tomayko
This map shows the geographic impact of Mary M. Tomayko'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 Mary M. Tomayko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary M. Tomayko more than expected).
Fields of papers citing papers by Mary M. Tomayko
This network shows the impact of papers produced by Mary M. Tomayko. 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 Mary M. Tomayko. The network helps show where Mary M. Tomayko may publish in the future.
Co-authorship network of co-authors of Mary M. Tomayko
This figure shows the co-authorship network connecting the top 25 collaborators of Mary M. Tomayko. A scholar is included among the top collaborators of Mary M. Tomayko 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 Mary M. Tomayko. Mary M. Tomayko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | High-plex protein and whole transcriptome co-mapping at cellular resolution with spatial CITE-seqbreakdown → | 184 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 57 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 56 | |
| 13 | 41 | |
| 14 | 183 | |
| 15 | 77 | |
| 16 | 206 | |
| 17 | 6 | |
| 18 | 24 | |
| 19 | 63 | |
| 20 | 44 |
About Mary M. Tomayko
Mary M. Tomayko is a scholar working on Microbiology, Immunology and Pathology and Forensic Medicine, having authored 41 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (1.0k citations) and Cancer Research (389 citations). Mary M. Tomayko has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include C. Patrick Reynolds, Mark J. Shlomchik, Kim L. Good‐Jacobson, Shannon M. Anderson, Michael P. Cancro, Lieping Chen, Arlene H. Sharpe, Natalie C. Steinel, Saheli Sadanand and Steven H. Kleinstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Biotechnology.
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.