Heather Maecker
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 4
- CAR-T cell therapy research 3
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- Cell death mechanisms and regulation 4
- Ubiquitin and proteasome pathways 2
- Co-authors
- Amato J. Giaccia (2 shared papers)Zhong Yun (1 shared paper)Randall S. Johnson (1 shared paper)Eugene Varfolomeev (3 shared papers)Jinfeng Liu (2 shared papers)Vishva M. Dixit (2 shared papers)Dorothy French (2 shared papers)Domagoj Vucic (2 shared papers)
- Journals
- Nature (2 papers)Cell (2 papers)Molecular Cancer Therapeutics (1 paper)Blood (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Heather Maecker
18 papers receiving 3.0k citations
Heather Maecker's Hit Papers
Peers
Comparison fields: 5 of 98
- Oncology 1.1k
- Cancer Research 577
- Immunology 806
- Molecular Biology 1.7k
- Genetics 202
Countries citing papers authored by Heather Maecker
This map shows the geographic impact of Heather Maecker'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 Heather Maecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Maecker more than expected).
Fields of papers citing papers by Heather Maecker
This network shows the impact of papers produced by Heather Maecker. 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 Heather Maecker. The network helps show where Heather Maecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Maecker, 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 | MAP Kinase Inhibition Promotes T Cell and Anti-tumor Activity in Combination with PD-L1 Checkpoint Blockade Hit paper breakdown → | 2016 | 542 |
| 2 | Deubiquitinase USP9X stabilizes MCL1 and promotes tumour cell survival Hit paper breakdown → | 2009 | 524 |
| 3 | 2014 | 412 | |
| 4 | 2002 | 404 | |
| 5 | 2005 | 232 | |
| 6 | 2011 | 220 | |
| 7 | 2005 | 207 | |
| 8 | 2012 | 166 | |
| 9 | 2011 | 122 | |
| 10 | 2023 | 93 | |
| 11 | 1997 | 55 | |
| 12 | p53 promotes selection for Fas-mediated apoptotic resistance. | 2000 | 53 |
| 13 | 1996 | 37 | |
| 14 | 1993 | 14 | |
| 15 | 2012 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 1 |
About Heather Maecker
Heather Maecker is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 18 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), NF-κB Signaling Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (577 citations), Immunology (806 citations), Molecular Biology (1.7k citations) and Genetics (202 citations). Heather Maecker has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Amato J. Giaccia, Zhong Yun, Randall S. Johnson, Eugene Varfolomeev, Jinfeng Liu, Vishva M. Dixit, Dorothy French, Domagoj Vucic, David A. Lawrence and Avi Ashkenazi. Their work appears in journals such as Nature, Cell, Molecular Cancer Therapeutics, Blood and Brain 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.