Thomas G. Graeber

33.7k total citations · 10 hit papers
141 papers, 14.7k citations indexed

About

Thomas G. Graeber is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Thomas G. Graeber has authored 141 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 40 papers in Oncology and 36 papers in Cancer Research. Recurrent topics in Thomas G. Graeber's work include Cancer, Hypoxia, and Metabolism (19 papers), Melanoma and MAPK Pathways (17 papers) and Cancer Genomics and Diagnostics (10 papers). Thomas G. Graeber is often cited by papers focused on Cancer, Hypoxia, and Metabolism (19 papers), Melanoma and MAPK Pathways (17 papers) and Cancer Genomics and Diagnostics (10 papers). Thomas G. Graeber collaborates with scholars based in United States, Germany and United Kingdom. Thomas G. Graeber's co-authors include Amato J. Giaccia, Antoni Ribas, Scott W. Lowe, Tyler Jacks, David E. Housman, Cameron J. Koch, Daniel Braas, Lídia Robert, Jennifer Tsoi and Evangelia Komisopoulou and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas G. Graeber

136 papers receiving 14.5k citations

Hit Papers

Hypoxia-mediated selection of cells with diminished apopt... 1994 2026 2004 2015 1996 2017 2003 2018 1994 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas G. Graeber United States 52 7.6k 5.3k 3.8k 3.6k 2.3k 141 14.7k
Kongming Wu China 68 8.0k 1.0× 7.6k 1.4× 3.3k 0.9× 4.2k 1.2× 2.5k 1.1× 187 16.5k
Zora Modrušan United States 69 10.6k 1.4× 4.9k 0.9× 3.6k 1.0× 5.0k 1.4× 2.2k 0.9× 166 19.7k
Iman Osman United States 59 7.5k 1.0× 5.9k 1.1× 3.0k 0.8× 2.3k 0.6× 1.8k 0.8× 265 12.5k
Jane B. Trepel United States 74 11.8k 1.5× 4.4k 0.8× 3.2k 0.8× 2.2k 0.6× 2.2k 1.0× 290 17.6k
Kazuaki Takabe United States 60 7.0k 0.9× 4.3k 0.8× 2.8k 0.7× 2.1k 0.6× 2.3k 1.0× 398 12.6k
Fredrik Pontén Sweden 60 8.3k 1.1× 3.7k 0.7× 2.8k 0.7× 1.8k 0.5× 1.8k 0.8× 272 14.2k
Ya Cao China 58 7.2k 0.9× 3.9k 0.7× 4.7k 1.2× 2.2k 0.6× 1.9k 0.8× 311 12.6k
Carsten Müller‐Tidow Germany 64 11.4k 1.5× 4.3k 0.8× 4.3k 1.1× 2.2k 0.6× 1.1k 0.5× 492 18.0k
Øystein Fodstad Norway 68 8.1k 1.1× 5.6k 1.1× 4.5k 1.2× 2.6k 0.7× 2.3k 1.0× 307 14.8k
Dihua Yu United States 73 10.9k 1.4× 9.0k 1.7× 3.9k 1.0× 2.3k 0.7× 2.9k 1.3× 242 19.0k

Countries citing papers authored by Thomas G. Graeber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas G. Graeber

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Graeber. A scholar is included among the top collaborators of Thomas G. Graeber 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 Thomas G. Graeber. Thomas G. Graeber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fernández, Elízabeth, X. Wilson, Nicholas Bayley, et al.. (2024). Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma. Nature Communications. 15(1). 10089–10089. 4 indexed citations
2.
Palermo, Amelia, Shen Li, Johanna ten Hoeve, et al.. (2023). A ketogenic diet can mitigate SARS-CoV-2 induced systemic reprogramming and inflammation. Communications Biology. 6(1). 1115–1115. 6 indexed citations
3.
Morrow, Danielle, Nicholas Bayley, Elízabeth Fernández, et al.. (2023). TMET-12. CDKN2A DELETION REMODELS LIPID METABOLISM TO PRIME GLIOBLASTOMA FOR FERROPTOSIS. Neuro-Oncology. 25(Supplement_5). v275–v275. 1 indexed citations
4.
Hu, Junhui, Ping Tan, Nicholas Bayley, et al.. (2023). Tumor heterogeneity in VHL drives metastasis in clear cell renal cell carcinoma. Signal Transduction and Targeted Therapy. 8(1). 155–155. 40 indexed citations
5.
Crane, Jacquelyn, Christine E. Mona, Scott D. Nelson, et al.. (2023). Fibroblast Activation Protein Expression in Sarcomas. Sarcoma. 2023. 1–11. 16 indexed citations
6.
Shia, David W., Preethi Vijayaraj, Cody J. Aros, et al.. (2022). Targeting PEA3 transcription factors to mitigate small cell lung cancer progression. Oncogene. 42(6). 434–448. 12 indexed citations
7.
Bennett, Neal K., Hiroki J. Nakaoka, Johanna ten Hoeve, et al.. (2020). Defining the ATPome reveals cross-optimization of metabolic pathways. Nature Communications. 11(1). 4319–4319. 22 indexed citations
8.
Park, Jung Wook, John K. Lee, Katherine M. Sheu, et al.. (2018). Reprogramming normal human epithelial tissues to a common, lethal neuroendocrine cancer lineage. Science. 362(6410). 91–95. 203 indexed citations
9.
Moreno, Blanca Homet, Jesse M. Zaretsky, Ángel García-Díaz, et al.. (2016). Response to Programmed Cell Death-1 Blockade in a Murine Melanoma Syngeneic Model Requires Costimulation, CD4, and CD8 T Cells. Cancer Immunology Research. 4(10). 845–857. 104 indexed citations
10.
Hu‐Lieskovan, Siwen, Stephen Mok, Blanca Homet Moreno, et al.. (2015). Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF V600E melanoma. Science Translational Medicine. 7(279). 279ra41–279ra41. 435 indexed citations breakdown →
11.
Tong, Maomeng, Ian McHardy, Paul Ruegger, et al.. (2014). Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism. The ISME Journal. 8(11). 2193–2206. 159 indexed citations
12.
Atefi, Mohammad, Earl Avramis, Amanda Lassen, et al.. (2014). Effects of MAPK and PI3K Pathways on PD-L1 Expression in Melanoma. Clinical Cancer Research. 20(13). 3446–3457. 285 indexed citations
13.
Robert, Lídia, Jennifer Tsoi, Xiaoyan Wang, et al.. (2014). CTLA4 Blockade Broadens the Peripheral T-Cell Receptor Repertoire. Clinical Cancer Research. 20(9). 2424–2432. 280 indexed citations
14.
Wong, Deborah J., Lídia Robert, Mohammad Atefi, et al.. (2014). Antitumor activity of the ERK inhibitor SCH722984 against BRAF mutant, NRAS mutant and wild-type melanoma. Molecular Cancer. 13(1). 194–194. 85 indexed citations
15.
Mok, Stephen, Richard C. Koya, Christopher Tsui, et al.. (2013). Inhibition of CSF-1 Receptor Improves the Antitumor Efficacy of Adoptive Cell Transfer Immunotherapy. Cancer Research. 74(1). 153–161. 252 indexed citations
16.
Teles, Rosane M. B., Thomas G. Graeber, Stephan R. Krutzik, et al.. (2013). Type I Interferon Suppresses Type II Interferon–Triggered Human Anti-Mycobacterial Responses. Science. 339(6126). 1448–1453. 296 indexed citations
17.
Drake, Justin M., Nicholas Graham, John K. Lee, et al.. (2013). Metastatic castration-resistant prostate cancer reveals intrapatient similarity and interpatient heterogeneity of therapeutic kinase targets. Proceedings of the National Academy of Sciences. 110(49). E4762–9. 90 indexed citations
18.
Koya, Richard C., Stephen Mok, Nicholas Otte, et al.. (2012). BRAF Inhibitor Vemurafenib Improves the Antitumor Activity of Adoptive Cell Immunotherapy. Cancer Research. 72(16). 3928–3937. 187 indexed citations
19.
Fang, Cong, Yanju Wang, Nam T. Vu, et al.. (2010). Integrated Microfluidic and Imaging Platform for a Kinase Activity Radioassay to Analyze Minute Patient Cancer Samples. Cancer Research. 70(21). 8299–8308. 51 indexed citations
20.
Graeber, Thomas G., et al.. (1994). Hypoxia Induces Accumulation of p53 Protein, but Activation of a G 1 -Phase Checkpoint by Low-Oxygen Conditions Is Independent of p53 Status. Molecular and Cellular Biology. 14(9). 6264–6277. 144 indexed citations

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.

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