Ayşe Latif

1.1k total citations
26 papers, 645 citations indexed

About

Ayşe Latif is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Ayşe Latif has authored 26 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Ayşe Latif's work include BRCA gene mutations in cancer (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genetic Associations and Epidemiology (3 papers). Ayşe Latif is often cited by papers focused on BRCA gene mutations in cancer (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genetic Associations and Epidemiology (3 papers). Ayşe Latif collaborates with scholars based in United Kingdom, United States and Bangladesh. Ayşe Latif's co-authors include D. Gareth Evans, William G. Newman, Tessa L. Holyoake, Fiona Lalloo, Stephen A. Roberts, A Shenton, Ian J. Stratford, Kristen D. Hadfield, Anthony Howell and Sacha J. Howell and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Ayşe Latif

24 papers receiving 631 citations

Peers

Ayşe Latif

GENET

ONCOL

PHARM

Gary L. Goldberg United States

Pradeep S. Chauhan United States

Per Olov Gunnarsson Sweden

Junmei Hou China

Masafumi Kudoh Japan

Gregg Timony United States

Chen Gao China

M Lemm Germany

Shou-Ching Tang United States

Mark Sales United Kingdom

Gary L. Goldberg United States

Ayşe Latif

416 ×1.8

103 ×0.5

GENET

303 ×2.0

ONCOL

108 ×0.8

62 ×0.5

PHARM

Citations per year, relative to Ayşe Latif Ayşe Latif (= 1×) peers Gary L. Goldberg

Countries citing papers authored by Ayşe Latif

Since Specialization

Citations

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

Fields of papers citing papers by Ayşe Latif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayşe Latif

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

All Works

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20 of 20 papers shown

O’Connor, James P.B., Ross A. Little, Duncan Forster, et al.. (2024). Combined Oxygen-Enhanced MRI and Perfusion Imaging Detect Hypoxia Modification from Banoxantrone and Atovaquone and Track Their Differential Mechanisms of Action. Cancer Research Communications. 4(10). 2565–2574.

Kühnl, Andrea, G. Mikhaeel, Amy A. Kirkwood, et al.. (2021). Radiotherapy Bridging in Patients With R/R High-Grade Lymphoma Receiving CD19 CAR-T in the UK. International Journal of Radiation Oncology*Biology*Physics. 111(3). S130–S130. 5 indexed citations

Islam, MR, et al.. (2020). Evaluation of plant extracts, fungicides, bio-agent and soil amendments against foot and root rot disease of betelvine caused by Sclerotium rolfsii under field condition. Bangladesh Journal of Agricultural Research. 44(4). 669–677. 1 indexed citations

Salem, Ahmed, Ross A. Little, Ayşe Latif, et al.. (2019). Oxygen-enhanced MRI Is Feasible, Repeatable, and Detects Radiotherapy-induced Change in Hypoxia in Xenograft Models and in Patients with Non–small Cell Lung Cancer. Clinical Cancer Research. 25(13). 3818–3829. 61 indexed citations

Sivalingam, Vanitha N., Ayşe Latif, Sarah Kitson, et al.. (2019). Hypoxia and hyperglycaemia determine why some endometrial tumours fail to respond to metformin. British Journal of Cancer. 122(1). 62–71. 24 indexed citations

Allison, Simon J., Patricia A. Cooper, Nikolaos T. Georgopoulos, et al.. (2017). Preclinical anti-cancer activity and multiple mechanisms of action of a cationic silver complex bearing N-heterocyclic carbene ligands. Cancer Letters. 403. 98–107. 61 indexed citations

Latif, Ayşe, Amy L. Chadwick, Sarah Kitson, et al.. (2017). Monocarboxylate Transporter 1 (MCT1) is an independent prognostic biomarker in endometrial cancer. BMC Clinical Pathology. 17(1). 27–27. 39 indexed citations

Khan, Naqib Ullah, et al.. (2016). Genotype by environment and phenotypic adaptability studies for yield and fiber variables in upland cotton.. The Journal of Animal and Plant Sciences. 26(3). 776–786. 6 indexed citations

Khan, Naqib Ullah, Shabir Ahmad Khan, Ayşe Latif, et al.. (2016). Genetic variability and correlation studies in F4 populations of upland cotton.. The Journal of Animal and Plant Sciences. 26(4). 1048–1055. 7 indexed citations

10.

James, Andrew D., Ayşe Latif, Carolina Uggenti, et al.. (2015). The Plasma Membrane Calcium Pump in Pancreatic Cancer Cells Exhibiting the Warburg Effect Relies on Glycolytic ATP. Journal of Biological Chemistry. 290(41). 24760–24771. 35 indexed citations

11.

Latif, Ayşe, et al.. (2013). Targeting survival pathways in chronic myeloid leukaemia stem cells. British Journal of Pharmacology. 169(8). 1693–1707. 55 indexed citations

12.

Camp, Nicola J., Marina Parry, Stacey Knight, et al.. (2012). Fine-Mapping CASP8 Risk Variants in Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 21(1). 176–181. 20 indexed citations

13.

Laitman, Yael, Bing Feng, Jeffrey N. Weitzel, et al.. (2012). Haplotype analysis of the 185delAG BRCA1 mutation in ethnically diverse populations. European Journal of Human Genetics. 21(2). 212–216. 35 indexed citations

14.

Slevin, Mark, et al.. (2012). Opticin Exerts Its Anti-angiogenic Activity by Regulating Extracellular Matrix Adhesiveness. Journal of Biological Chemistry. 287(33). 28027–28036. 35 indexed citations

15.

Latif, Ayşe, S. A. Roberts, Fiona Lalloo, et al.. (2010). Breast cancer susceptibility variants alter risk in familial ovarian cancer. Familial Cancer. 9(4). 503–506. 3 indexed citations

16.

Bergqvist, Jenny, Ayşe Latif, S. A. Roberts, et al.. (2010). RASSF1A polymorphism in familial breast cancer. Familial Cancer. 9(3). 263–265. 15 indexed citations

17.

Bray, Susan E., Margaret Johnson, Philip Quinlan, et al.. (2010). CYP2D6 genotype affects outcome in postmenopausal breast cancer patients treated with tamoxifen monotherapy. Breast Cancer Research. 12(S1). 6 indexed citations

18.

Thompson, Alastair M., Andrea Johnson, Philip Quinlan, et al.. (2010). Comprehensive CYP2D6 genotype and adherence affect outcome in breast cancer patients treated with tamoxifen monotherapy. Breast Cancer Research and Treatment. 125(1). 279–287. 71 indexed citations

19.

Latif, Ayşe, Kristin Hadfield, S. A. Roberts, et al.. (2009). Breast cancer susceptibility variants alter risks in familial disease. Journal of Medical Genetics. 47(2). 126–131. 31 indexed citations

20.

Newman, William G., Kristen D. Hadfield, Ayşe Latif, et al.. (2008). Impaired Tamoxifen Metabolism Reduces Survival in Familial Breast Cancer Patients. Clinical Cancer Research. 14(18). 5913–5918. 88 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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