Fay Habens

568 total citations
11 papers, 477 citations indexed

About

Fay Habens is a scholar working on Molecular Biology, Economics and Econometrics and Oncology. According to data from OpenAlex, Fay Habens has authored 11 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Economics and Econometrics and 3 papers in Oncology. Recurrent topics in Fay Habens's work include Health Systems, Economic Evaluations, Quality of Life (4 papers), NF-κB Signaling Pathways (3 papers) and Peptidase Inhibition and Analysis (2 papers). Fay Habens is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (4 papers), NF-κB Signaling Pathways (3 papers) and Peptidase Inhibition and Analysis (2 papers). Fay Habens collaborates with scholars based in United Kingdom, United States and Netherlands. Fay Habens's co-authors include Graham Packham, A. Ganesan, Matthew Brimmell, Alexander Yurek‐George, Peter Johnson, Derek A. Mann, Jorg Michels, Eric G. Marcusson, Laura Sampietro-Colom and Wija Oortwijn and has published in prestigious journals such as Journal of the American Chemical Society, Oncogene and Journal of Medicinal Chemistry.

In The Last Decade

Fay Habens

11 papers receiving 471 citations

Peers

Fay Habens

MB

ONCOL

OC

IMMUN

GENET

Ciska Verbaanderd Belgium

Owen Tan Australia

Kim Edmonds United Kingdom

Joseph E. Myers United States

Hossam Kamel Egypt

Kevin Yang United States

J. A. Phillips United Kingdom

Jean‐Pierre Piau France

Peter Nygren Sweden

Ciska Verbaanderd Belgium

Fay Habens

216 ×0.7

MB

100 ×0.9

ONCOL

33 ×0.4

OC

36 ×0.6

IMMUN

20 ×0.4

GENET

Citations per year, relative to Fay Habens Fay Habens (= 1×) peers Ciska Verbaanderd

Countries citing papers authored by Fay Habens

Since Specialization

Citations

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

Fields of papers citing papers by Fay Habens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fay Habens

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

All Works

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11 of 11 papers shown

1.

Oortwijn, Wija, Laura Sampietro-Colom, Fay Habens, & Rebecca Trowman. (2018). HOW CAN HEALTH SYSTEMS PREPARE FOR NEW AND EMERGING HEALTH TECHNOLOGIES? THE ROLE OF HORIZON SCANNING REVISITED. International Journal of Technology Assessment in Health Care. 34(3). 254–259. 19 indexed citations

2.

Oortwijn, Wija, Laura Sampietro-Colom, & Fay Habens. (2017). DEVELOPMENTS IN VALUE FRAMEWORKS TO INFORM THE ALLOCATION OF HEALTHCARE RESOURCES. International Journal of Technology Assessment in Health Care. 33(2). 323–329. 22 indexed citations

3.

Milne, Ruairidh, et al.. (2014). The completeness of intervention descriptions in published National Institute of Health Research HTA-funded trials: a cross-sectional study. BMJ Open. 4(1). e003713–e003713. 27 indexed citations

4.

Milne, Ruairidh, et al.. (2013). The completeness of intervention descriptions in published NIHR HTA funded trials: a cross sectional study. Trials. 14(S1). 2 indexed citations

5.

Yurek‐George, Alexander, Alexander Cecil, Shijun Wen, et al.. (2007). The First Biologically Active Synthetic Analogues of FK228, the Depsipeptide Histone Deacetylase Inhibitor. Journal of Medicinal Chemistry. 50(23). 5720–5726. 75 indexed citations

6.

Habens, Fay, Becky M. Pickering, Jorg Michels, et al.. (2006). Distinct promoters mediate constitutive and inducible Bcl-XL expression in malignant lymphocytes. Oncogene. 26(13). 1910–1919. 12 indexed citations

7.

Pickering, Becky M., Sanjay De Mel, Melanie Howell, et al.. (2006). Pharmacological inhibitors of NF-κB accelerate apoptosis in chronic lymphocytic leukaemia cells. Oncogene. 26(8). 1166–1177. 64 indexed citations

8.

Habens, Fay, N. Srinivasan, Fiona Oakley, et al.. (2005). Novel sulfasalazine analogues with enhanced NF-kB inhibitory and apoptosis promoting activity. APOPTOSIS. 10(3). 481–491. 56 indexed citations

9.

Packham, Graham, et al.. (2004). Posters. British Journal of Cancer. 91(S1). S61–S69. 1 indexed citations

10.

Michels, Jorg, Jason O’Neill, Fay Habens, et al.. (2004). Mcl-1 is required for Akata6 B-lymphoma cell survival and is converted to a cell death molecule by efficient caspase-mediated cleavage. Oncogene. 23(28). 4818–4827. 122 indexed citations

11.

Yurek‐George, Alexander, Fay Habens, Matthew Brimmell, Graham Packham, & A. Ganesan. (2004). Total Synthesis of Spiruchostatin A, a Potent Histone Deacetylase Inhibitor. Journal of the American Chemical Society. 126(4). 1030–1031. 77 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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