Thomas G. Graeber
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism 19
- Cancer Genomics and Diagnostics 10
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 8
- Cancer-related Molecular Pathways 7
- Immunology top 0.5%
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 8
- Molecular Biology top 0.5%
- Melanoma and MAPK Pathways 17
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Treatment and Research 8
- Co-authors
- Amato J. GiacciaAntoni RibasScott W. LoweTyler JacksCameron J. KochDavid E. HousmanDaniel BraasLídia Robert
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Cancer Research (8 papers)Cancer Cell (6 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Thomas G. Graeber
136 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cancer Research 3.8k
- Oncology 5.3k
- Immunology 3.6k
- Molecular Biology 7.6k
- Pulmonary and Respiratory Medicine 2.3k
Countries citing papers authored by Thomas G. Graeber
This map shows the geographic impact of Thomas G. Graeber'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 Thomas G. Graeber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Graeber more than expected).
Fields of papers citing papers by Thomas G. Graeber
This network shows the impact of papers produced by Thomas G. Graeber. 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 Thomas G. Graeber. The network helps show where Thomas G. Graeber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas G. Graeber, 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 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 203 | |
| 9 | 2016 | 104 | |
| 10 | Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF V600E melanomabreakdown → | 2015 | 435 |
| 11 | 2014 | 285 | |
| 12 | 2014 | 280 | |
| 13 | 2014 | 159 | |
| 14 | 2013 | 252 | |
| 15 | 2013 | 296 | |
| 16 | 2013 | 90 | |
| 17 | 2012 | 187 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 51 | |
| 20 | 1994 | 144 |
About Thomas G. Graeber
Thomas G. Graeber is a scholar working on Cancer Research, Oncology and Immunology, having authored 141 papers that have together received 14.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (19 papers), Melanoma and MAPK Pathways (17 papers), Cancer Genomics and Diagnostics (10 papers), Immune Cell Function and Interaction (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Immune Response and Inflammation (8 papers), Prostate Cancer Treatment and Research (8 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Cancer Research (3.8k citations), Oncology (5.3k citations) and Immunology (3.6k citations). Thomas G. Graeber has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Amato J. Giaccia, Antoni Ribas, Scott W. Lowe, Tyler Jacks, Cameron J. Koch, David E. Housman, Daniel Braas, Lídia Robert, Jennifer Tsoi and Evangelia Komisopoulou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Cancer Cell, Nature Communications and PLoS ONE.
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.