Marian Taylor

612 total citations
9 papers, 505 citations indexed

About

Marian Taylor is a scholar working on Molecular Biology, Cancer Research and Health. According to data from OpenAlex, Marian Taylor has authored 9 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Health. Recurrent topics in Marian Taylor's work include Biomedical Text Mining and Ontologies (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Marian Taylor is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Marian Taylor collaborates with scholars based in United Kingdom, United States and Denmark. Marian Taylor's co-authors include Adrian L. Harris, Francesca M. Buffa, Harriet E. Gee, Jiannis Ragoussis, Cameron Snell, Laura Winchester, Helen Sheldon, Carlos Camps, Francesco Pezzella and Kate Talks and has published in prestigious journals such as Cancer Research, British Journal of Cancer and The Journal of Pathology.

In The Last Decade

Marian Taylor

8 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marian Taylor United Kingdom	6	342	325	110	106	36	9	505
Jae Moon Gwak South Korea	8	372 1.1×	256 0.8×	106 1.0×	233 2.2×	33 0.9×	10	567
Alfredo Francesco Zito Italy	7	216 0.6×	197 0.6×	44 0.4×	164 1.5×	43 1.2×	8	417
Michał Świerniak Poland	12	393 1.1×	315 1.0×	45 0.4×	69 0.7×	66 1.8×	19	627
Pengwei Lv China	12	380 1.1×	332 1.0×	45 0.4×	98 0.9×	20 0.6×	20	498
Jelena Radojicic Greece	7	326 1.0×	306 0.9×	56 0.5×	99 0.9×	54 1.5×	11	483
J. Chakrabarti United Kingdom	6	202 0.6×	137 0.4×	95 0.9×	158 1.5×	47 1.3×	11	410
Molykutty John‐Aryankalayil United States	9	201 0.6×	178 0.5×	70 0.6×	104 1.0×	25 0.7×	10	413
Yudong Zhang China	9	457 1.3×	221 0.7×	55 0.5×	84 0.8×	53 1.5×	12	524
Yuandong Liao China	11	337 1.0×	320 1.0×	46 0.4×	90 0.8×	17 0.5×	19	499
Noga Bloushtain-Qimron United States	7	258 0.8×	130 0.4×	52 0.5×	137 1.3×	28 0.8×	8	375

Countries citing papers authored by Marian Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Marian Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marian Taylor

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Badve, Sunil, Sanghee Cho, Yesim Gökmen‐Polar, et al.. (2021). Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast. British Journal of Cancer. 124(6). 1150–1159. 10 indexed citations

2.

Alonso-Calvo, Raúl, Ruud van Stiphout, Sheng Yu, et al.. (2017). A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer. Computers in Biology and Medicine. 87. 179–186. 10 indexed citations

3.

Taylor, Marian. (2017). Infant Mortality Among African American Women Compared to European American Women in New York City. ScholarWorks (Walden University). 1 indexed citations

4.

Stenzhorn, Holger, Marian Taylor, Hena R. Ramay, et al.. (2016). ecancermedicalscience. ecancermedicalscience. 8. 399–399. 3 indexed citations

5.

Buffa, Francesca M., Carlos Camps, Laura Winchester, et al.. (2011). microRNA-Associated Progression Pathways and Potential Therapeutic Targets Identified by Integrated mRNA and microRNA Expression Profiling in Breast Cancer. Cancer Research. 71(17). 5635–5645. 251 indexed citations

6.

Charlesworth, Philip J.S., Marian Taylor, Russell Leek, et al.. (2009). Automated uro‐oncology data collection: the Cancer Research Uro‐Oncology Database. British Journal of Urology. 105(12). 1663–1666. 6 indexed citations

7.

Leek, Russell, Kate Talks, Francesco Pezzella, et al.. (2002). Relation of hypoxia-inducible factor-2 alpha (HIF-2 alpha) expression in tumor-infiltrative macrophages to tumor angiogenesis and the oxidative thymidine phosphorylase pathway in Human breast cancer.. PubMed. 62(5). 1326–9. 177 indexed citations

8.

Fox, Stephen B., et al.. (2001). Plasminogen activator inhibitor-1 as a measure of vascular remodelling in breast cancer. The Journal of Pathology. 195(2). 236–243. 45 indexed citations

9.

Taylor, Marian, et al.. (1985). New words dictionary. 2 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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