Catherine Tait

428 total citations
10 papers, 336 citations indexed

About

Catherine Tait is a scholar working on Oncology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Catherine Tait has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Catherine Tait's work include Breast Lesions and Carcinomas (3 papers), Estrogen and related hormone effects (2 papers) and Breast Cancer Treatment Studies (2 papers). Catherine Tait is often cited by papers focused on Breast Lesions and Carcinomas (3 papers), Estrogen and related hormone effects (2 papers) and Breast Cancer Treatment Studies (2 papers). Catherine Tait collaborates with scholars based in United Kingdom and Cyprus. Catherine Tait's co-authors include Pamela F. Jones, Kieran Horgan, David Dodwell, Richard Linforth, J. Loncaster, Chris W. Sutton, Mohamed Salhab, Kyriacos Kyriacou, W. Burrill and Laurence H. Patterson and has published in prestigious journals such as The Journal of Pathology, Breast Cancer Research and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

In The Last Decade

Catherine Tait

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine Tait United Kingdom	7	178	123	114	75	36	10	336
S Zbinden Switzerland	4	175 1.0×	104 0.8×	64 0.6×	98 1.3×	33 0.9×	7	284
Pablo Berlanga France	12	186 1.0×	97 0.8×	181 1.6×	167 2.2×	39 1.1×	54	492
Simona Borštnar Slovenia	12	95 0.5×	147 1.2×	154 1.4×	78 1.0×	57 1.6×	42	356
Shoichiro Mukai Japan	12	173 1.0×	97 0.8×	117 1.0×	111 1.5×	90 2.5×	54	438
Henry Hiep Vo United States	10	169 0.9×	126 1.0×	217 1.9×	93 1.2×	39 1.1×	15	495
Francesca Ligorio Italy	12	163 0.9×	138 1.1×	284 2.5×	108 1.4×	32 0.9×	32	512
Joseph J. Johnson United States	5	169 0.9×	126 1.0×	106 0.9×	72 1.0×	55 1.5×	6	512
K. Hoekman Netherlands	6	166 0.9×	72 0.6×	128 1.1×	60 0.8×	11 0.3×	11	323
Lee Gorden United States	8	127 0.7×	154 1.3×	205 1.8×	55 0.7×	70 1.9×	11	407
Stephen Hillerman United States	4	241 1.4×	105 0.9×	118 1.0×	80 1.1×	15 0.4×	5	427

Countries citing papers authored by Catherine Tait

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Tait

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Tait

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Tait. A scholar is included among the top collaborators of Catherine Tait 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 Catherine Tait. Catherine Tait 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:

10 of 10 papers shown

1.

Tait, Catherine, Raj Achuthan, Brian Hogan, et al.. (2020). Breast Cancer Surgery During the COVID-19 Pandemic Peak in the UK: Operative Outcomes. Cureus. 12(7). e9280–e9280. 10 indexed citations

2.

Tait, Catherine, et al.. (2018). Evaluation of nipple aspirate fluid as a diagnostic tool for early detection of breast cancer. Clinical Proteomics. 15(1). 3–3. 30 indexed citations

3.

Najafzadeh, Mojgan, et al.. (2017). Aspirin and ibuprofen, in bulk and nanoforms: Effects on DNA damage in peripheral lymphocytes from breast cancer patients and healthy individuals. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 826. 41–46. 15 indexed citations

4.

Baker, Elizabeth A., et al.. (2017). Differences in post mastectomy reconstruction rates between Asian and Caucasian patients: A 5 year institutional review. European Journal of Surgical Oncology. 43(5). S10–S10. 1 indexed citations

5.

Tait, Catherine, Kyriacos Kyriacou, W. Burrill, et al.. (2017). Nipple aspirate fluid—A liquid biopsy for diagnosing breast health. PROTEOMICS - CLINICAL APPLICATIONS. 11(9-10). 23 indexed citations

6.

Hogan, Brian, et al.. (2014). 186. Reducing margin width following breast conserving surgery increases risk of residual disease in the breast. European Journal of Surgical Oncology. 40(11). S80–S80. 1 indexed citations

7.

Tait, Catherine. (2004). Aspirin and breast cancer prevention – a link to ER status. Breast Cancer Research. 6(5). 211–2. 2 indexed citations

8.

Tait, Catherine, et al.. (2004). The oligometastatic state in breast cancer: hypothesis or reality. The Breast. 14(2). 87–93. 47 indexed citations

9.

Tait, Catherine, David Dodwell, & Kieran Horgan. (2004). Do metastases metastasize?. The Journal of Pathology. 203(1). 515–518. 22 indexed citations

10.

Tait, Catherine & Pamela F. Jones. (2004). Angiopoietins in tumours: the angiogenic switch. The Journal of Pathology. 204(1). 1–10. 185 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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