Fiona Mack

936 total citations
10 papers, 746 citations indexed

About

Fiona Mack is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fiona Mack has authored 10 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Fiona Mack's work include Cancer, Hypoxia, and Metabolism (5 papers), Congenital heart defects research (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Fiona Mack is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Congenital heart defects research (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Fiona Mack collaborates with scholars based in United States, Slovakia and Switzerland. Fiona Mack's co-authors include M. Celeste Simon, Volker H. Haase, Karen D. Cowden Dahl, Emin Maltepe, Brian Keith, Veerle Compernolle, Benjamin H. Fryer, Andrew M. Arsham, David M. Adelman and Peter Carmeliet and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Cell and Cancer Research.

In The Last Decade

Fiona Mack

10 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Mack United States 10 462 314 195 105 100 10 746
Masafumi Toyoshima Japan 18 494 1.1× 145 0.5× 231 1.2× 286 2.7× 152 1.5× 61 1.1k
S. Blacher Belgium 5 411 0.9× 116 0.4× 149 0.8× 90 0.9× 42 0.4× 5 626
Yuhuan Qiao China 16 333 0.7× 181 0.6× 173 0.9× 39 0.4× 30 0.3× 29 573
Wei‐Yu Lin United Kingdom 16 350 0.8× 116 0.4× 123 0.6× 39 0.4× 40 0.4× 44 667
Mitchell Hoffman United States 9 441 1.0× 165 0.5× 239 1.2× 55 0.5× 38 0.4× 19 1.0k
Evelyn Despierre Belgium 13 420 0.9× 298 0.9× 156 0.8× 186 1.8× 63 0.6× 17 914
Tsutomu Imai Japan 8 595 1.3× 316 1.0× 330 1.7× 53 0.5× 61 0.6× 15 900
Ruth Glas United States 5 951 2.1× 296 0.9× 239 1.2× 191 1.8× 134 1.3× 5 1.5k
Anneleen Beckers Belgium 14 530 1.1× 296 0.9× 65 0.3× 69 0.7× 48 0.5× 20 777
A. E. Konstantinidou Greece 11 172 0.4× 96 0.3× 79 0.4× 29 0.3× 46 0.5× 19 464

Countries citing papers authored by Fiona Mack

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Mack

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

All Works

10 of 10 papers shown
1.
Augert, Arnaud, Emily Eastwood, Ali H. Ibrahim, et al.. (2019). Targeting NOTCH activation in small cell lung cancer through LSD1 inhibition. Science Signaling. 12(567). 154 indexed citations
2.
Bouhaddou, Mehdi, Serena Lunardi, Fiona Mack, et al.. (2019). Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer. Clinical and Translational Science. 13(2). 419–429. 21 indexed citations
3.
Milletti, Francesca, Wei‐Yi Cheng, Tamara Maes, et al.. (2016). Abstract 4708: Neuroendocrine gene transcript expression is associated with efficacy to lysine-specific demethylase-1 inhibitor RG6016 in small cell lung cancer-derived cell lines. Cancer Research. 76(14_Supplement). 4708–4708. 15 indexed citations
4.
Mack, Fiona, Michael Ritchie, & Puja Sapra. (2014). The Next Generation of Antibody Drug Conjugates. Seminars in Oncology. 41(5). 637–652. 40 indexed citations
5.
Ünsal-Kaçmaz, Keziban, Edward Rosfjord, Stephen G. Dann, et al.. (2011). The interaction of PKN3 with RhoC promotes malignant growth. Molecular Oncology. 6(3). 284–298. 39 indexed citations
6.
Tang, Nan, Fiona Mack, Volker H. Haase, M. Celeste Simon, & Randall S. Johnson. (2006). pVHL Function Is Essential for Endothelial Extracellular Matrix Deposition. Molecular and Cellular Biology. 26(7). 2519–2530. 71 indexed citations
7.
Dahl, Karen D. Cowden, Benjamin H. Fryer, Fiona Mack, et al.. (2005). Hypoxia-Inducible Factors 1α and 2α Regulate Trophoblast Differentiation. Molecular and Cellular Biology. 25(23). 10479–10491. 185 indexed citations
8.
Mack, Fiona, Jagruti Patel, Mangatt P. Biju, Volker H. Haase, & M. Celeste Simon. (2005). Decreased Growth of Vhl − / − Fibrosarcomas Is Associated with Elevated Levels of Cyclin Kinase Inhibitors p21 and p27. Molecular and Cellular Biology. 25(11). 4565–4578. 67 indexed citations
9.
Mack, Fiona, W. Kimryn Rathmell, Andrew M. Arsham, et al.. (2003). Loss of pVHL is sufficient to cause HIF dysregulation in primary cells but does not promote tumor growth. Cancer Cell. 3(1). 75–88. 137 indexed citations
10.
Simon, M. Celeste, Diana L. Ramírez‐Bergeron, Fiona Mack, et al.. (2002). Hypoxia, HIFs, and Cardiovascular Development. Cold Spring Harbor Symposia on Quantitative Biology. 67(0). 127–132. 17 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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