Matthew J. Sikora
- Cancer Research top 5%
- Breast Cancer Treatment Studies 6
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
- Oncology top 10%
- Cancer Cells and Metastasis 8
- Cytokine Signaling Pathways and Interactions 5
- HER2/EGFR in Cancer Research 3
- Genetics top 10%
- Estrogen and related hormone effects 14
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment 4
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- Reproductive System and Pregnancy 3
- Co-authors
- Steffi OesterreichJames M. RaeMichael D. JohnsonAdrian V. LeeKevin M. LevineNancy E. DavidsonDavid J. DabbsNilgun Tasdemir
- Cited by
- Cancer ResearchPharmacologyOncology
- Journals
- Journal of Biological Chemistry (1 paper)Cancer Research (3 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew J. Sikora
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 336
- Pharmacology 146
- Oncology 415
- Genetics 325
- Reproductive Medicine 75
Countries citing papers authored by Matthew J. Sikora
This map shows the geographic impact of Matthew J. Sikora'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 Matthew J. Sikora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Sikora more than expected).
Fields of papers citing papers by Matthew J. Sikora
This network shows the impact of papers produced by Matthew J. Sikora. 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 Matthew J. Sikora. The network helps show where Matthew J. Sikora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Sikora, 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 | 2025 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 74 | |
| 11 | 2019 | 41 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 72 | |
| 15 | 2017 | 38 | |
| 16 | 2017 | 23 | |
| 17 | 2016 | 26 | |
| 18 | 2014 | 87 | |
| 19 | 2012 | 23 | |
| 20 | 2008 | 19 |
About Matthew J. Sikora
Matthew J. Sikora is a scholar working on Cancer Research, Oncology and Genetics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Cancer Cells and Metastasis (8 papers), Breast Cancer Treatment Studies (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Reproductive System and Pregnancy (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cancer Research (336 citations), Pharmacology (146 citations) and Oncology (415 citations). Matthew J. Sikora has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steffi Oesterreich, James M. Rae, Michael D. Johnson, Adrian V. Lee, Kevin M. Levine, Nancy E. Davidson, David J. Dabbs, Nilgun Tasdemir, Marc E. Lippman and José M. Larios. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Clinical Cancer Research.
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.