Saege Hancock

932 total citations
15 papers, 602 citations indexed

About

Saege Hancock is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Saege Hancock has authored 15 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Saege Hancock's work include Cancer Genomics and Diagnostics (8 papers), Mitochondrial Function and Pathology (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Saege Hancock is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Mitochondrial Function and Pathology (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Saege Hancock collaborates with scholars based in United States, United Kingdom and France. Saege Hancock's co-authors include Douglas C. Wallace, Vincent Procaccio, Antonio Dávila, Sean F. O’Hearn, Prasanth Potluri, Wayne W. Hancock, Yujie Liu, Jing Jiao, Carrie A. Sims and Alessia Angelin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Saege Hancock

15 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saege Hancock United States 6 386 173 137 81 59 15 602
Jutta Gärtner Germany 14 366 0.9× 72 0.4× 56 0.4× 66 0.8× 60 1.0× 19 650
Daria Manganaro Italy 10 453 1.2× 55 0.3× 26 0.2× 30 0.4× 105 1.8× 12 699
Muriel Asheuer France 8 245 0.6× 69 0.4× 65 0.5× 17 0.2× 113 1.9× 8 349
Masunori Kajikawa Japan 10 298 0.8× 118 0.7× 43 0.3× 24 0.3× 66 1.1× 14 496
Vanessa Goyon Canada 5 434 1.1× 46 0.3× 51 0.4× 47 0.6× 81 1.4× 6 550
Chupong Ittiwut Thailand 14 261 0.7× 38 0.2× 60 0.4× 37 0.5× 31 0.5× 53 496
Sindhu Saraswathy United States 16 260 0.7× 111 0.6× 32 0.2× 20 0.2× 60 1.0× 36 666
Beatriz Puisac Spain 16 431 1.1× 24 0.1× 119 0.9× 33 0.4× 79 1.3× 45 568
Nienke L. Postma Netherlands 9 432 1.1× 84 0.5× 42 0.3× 26 0.3× 40 0.7× 12 575
Marie Pierre Manitz Germany 6 317 0.8× 218 1.3× 17 0.1× 67 0.8× 32 0.5× 7 522

Countries citing papers authored by Saege Hancock

Since Specialization
Citations

This map shows the geographic impact of Saege Hancock'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 Saege Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saege Hancock more than expected).

Fields of papers citing papers by Saege Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saege Hancock. 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 Saege Hancock. The network helps show where Saege Hancock may publish in the future.

Co-authorship network of co-authors of Saege Hancock

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

All Works

15 of 15 papers shown
1.
Flierl, Adrian, Samuel E. Schriner, Saege Hancock, Pınar Coşkun, & Douglas C. Wallace. (2022). The mitochondrial adenine nucleotide transporters in myogenesis. Free Radical Biology and Medicine. 188. 312–327. 11 indexed citations
2.
Fujii, Takeo, Cecile Rose T. Vibat, Daniel D. Karp, et al.. (2016). Abstract 3146: Circulating tumor DNA assay performance for detection and monitoring of KRAS mutations in urine from patients with advanced cancers. Cancer Research. 76(14_Supplement). 3146–3146. 1 indexed citations
3.
Melnikova, Vladislava O., Cecile Rose T. Vibat, Yan Ning, et al.. (2016). Quantitative urinary KRAS for treatment decisions in patients with metastatic colorectal cancer (mCRC).. Journal of Clinical Oncology. 34(15_suppl). e15011–e15011. 1 indexed citations
4.
Randall, James M., Mark G. Erlander, Cecile Rose T. Vibat, et al.. (2015). Non-Invasive Monitoring of Urinary KRAS Circulating Tumor DNA for Treatment Response and Minimal Residual Disease in Patients with Lung Adenocarcinoma.. Journal of Clinical Oncology. 33(15_suppl). e19092–e19092. 1 indexed citations
5.
Johansen, Julia S., Cecile Rose T. Vibat, Saege Hancock, et al.. (2015). Prognostic value of plasma circulating tumor (ct) DNA KRAS mutations and serum CA19-9 in unresectable pancreatic cancer (PC) patients.. Journal of Clinical Oncology. 33(15_suppl). 4022–4022. 2 indexed citations
6.
Poole, Jason C., Cecile Rose T. Vibat, Lucie Benešová, et al.. (2015). Highly sensitive quantitative detection of circulating tumor DNA in urine and plasma from advanced colorectal cancer patients in aid of early diagnosis of clinically relevant KRAS mutations.. Journal of Clinical Oncology. 33(3_suppl). 654–654. 2 indexed citations
7.
Kosco, Karena, Jason C. Poole, Saege Hancock, et al.. (2015). Abstract 5238: Methodology for single copy detection and quantitative monitoring of clinically actionable circulating tumor DNA mutations in urine from cancer patients. Cancer Research. 75(15_Supplement). 5238–5238. 1 indexed citations
8.
Jankú, Filip, Cecile Rose T. Vibat, Gerald S. Falchook, et al.. (2015). Low frequency KRAS G12/13 mutations in urine cell-free (cf) DNA from patients with BRAF V600E-mutant advanced cancers.. Journal of Clinical Oncology. 33(15_suppl). 11048–11048. 2 indexed citations
9.
Beier, Ulf H., Alessia Angelin, Tatiana Akimova, et al.. (2015). Essential role of mitochondrial energy metabolism in Foxp3 + T‐regulatory cell function and allograft survival. The FASEB Journal. 29(6). 2315–2326. 218 indexed citations
10.
Barzi, Afsaneh, Cecile Rose T. Vibat, Saege Hancock, et al.. (2015). Abstract B4: Use of urinary circulating tumor DNA (ctDNA) KRAS for monitoring treatment response in patients with metastatic colorectal cancer (mCRC). Molecular Cancer Therapeutics. 14(12_Supplement_2). B4–B4. 1 indexed citations
11.
Picard, Martin, Jiangwen Zhang, Saege Hancock, et al.. (2014). Progressive increase in mtDNA 3243A>G heteroplasmy causes abrupt transcriptional reprogramming. Proceedings of the National Academy of Sciences. 111(38). E4033–42. 231 indexed citations
12.
Desquiret‐Dumas, Valérie, Naïg Guéguen, Magalie Barth, et al.. (2012). Metabolically induced heteroplasmy shifting and l-arginine treatment reduce the energetic defect in a neuronal-like model of MELAS. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(6). 1019–1029. 35 indexed citations
13.
Potluri, Prasanth, Antonio Dávila, Eduardo Ruiz‐Pesini, et al.. (2009). A novel NDUFA1 mutation leads to a progressive mitochondrial complex I-specific neurodegenerative disease. Molecular Genetics and Metabolism. 96(4). 189–195. 72 indexed citations
14.
Cramer, Steven C., et al.. (2009). BDNF Polymorphism and Clinical Outcome in the GAIN Trials. Stroke. 40(4). 1 indexed citations
15.
Csizmadia, Vilmos, Wei Gao, Saege Hancock, et al.. (2001). DIFFERENTIAL NF-??B AND I??B GENE EXPRESSION DURING DEVELOPMENT OF CARDIAC ALLOGRAFT REJECTION VERSUS CD154 MONOCLONAL ANTIBODY-INDUCED TOLERANCE1. Transplantation. 71(7). 835–840. 23 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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