Nicola Bees

1.3k total citations · 1 hit paper
10 papers, 940 citations indexed

About

Nicola Bees is a scholar working on Surgery, Oncology and Neurology. According to data from OpenAlex, Nicola Bees has authored 10 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Oncology and 2 papers in Neurology. Recurrent topics in Nicola Bees's work include Colorectal Cancer Surgical Treatments (4 papers), Colorectal and Anal Carcinomas (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Nicola Bees is often cited by papers focused on Colorectal Cancer Surgical Treatments (4 papers), Colorectal and Anal Carcinomas (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Nicola Bees collaborates with scholars based in United Kingdom and Sweden. Nicola Bees's co-authors include Gina Brown, Uday Patel, Fiona Taylor, Ashley Guthrie, Christopher George, David Sebag‐Montefiore, Richard J. Heald, Lennart Blomqvist, Ian Swift and Philip Quirke and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and American Journal of Roentgenology.

In The Last Decade

Nicola Bees

10 papers receiving 915 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Magnetic Resonance Imaging–Detected Tumor Response for Locally Advanced Rectal Cancer Predicts Survival Outcomes: MERCURY Experience

2011 480 citations Uday Patel, Fiona Taylor et al. Journal of Clinical Oncology profile →

Peers

Nicola Bees

ONCOL

SURGE

RNMI

PRM

NEURO

J. van Engelshoven Netherlands

R.C.J. Verschueren Netherlands

Heerim Nam South Korea

Raphaëla C. Dresen Netherlands

Hyeon‐Min Cho South Korea

Nancy Swanston United States

Laurence F. Yee United States

Fabrizio Luca Italy

Hiroyasu Kagawa Japan

S. Di Palo Italy

J. van Engelshoven Netherlands

Nicola Bees

547 ×0.7

ONCOL

485 ×1.0

SURGE

255 ×0.7

RNMI

154 ×0.7

PRM

30 ×0.5

NEURO

Citations per year, relative to Nicola Bees Nicola Bees (= 1×) peers J. van Engelshoven

Countries citing papers authored by Nicola Bees

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Bees

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Bees

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

All Works

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10 of 10 papers shown

1.

Patel, Uday, Lennart K. Blomqvist, Fiona Taylor, et al.. (2012). MRI After Treatment of Locally Advanced Rectal Cancer: How to Report Tumor Response—The MERCURY Experience. American Journal of Roentgenology. 199(4). W486–W495. 159 indexed citations

2.

Patel, Uday, Fiona Taylor, Lennart Blomqvist, et al.. (2011). Magnetic Resonance Imaging–Detected Tumor Response for Locally Advanced Rectal Cancer Predicts Survival Outcomes: MERCURY Experience. Journal of Clinical Oncology. 29(28). 3753–3760. 480 indexed citations breakdown →

3.

Burton, Sarah, Gina Brown, Nicola Bees, et al.. (2007). Accuracy of CT prediction of poor prognostic features in colonic cancer. British Journal of Radiology. 81(961). 10–19. 67 indexed citations

4.

Smith, N J, Nicola Bees, Yolanda Barbáchano, et al.. (2007). Preoperative computed tomography staging of nonmetastatic colon cancer predicts outcome: implications for clinical trials. British Journal of Cancer. 96(7). 1030–1036. 122 indexed citations

5.

Adwani, Asha, et al.. (2006). Hemangioma of the Breast: Clinical, Mammographic, and Ultrasound Features. The Breast Journal. 12(3). 271–271. 9 indexed citations

6.

Bees, Nicola, et al.. (2000). Renal angiography using carbon dioxide.. British Journal of Radiology. 73(865). 3–6. 19 indexed citations

7.

Bees, Nicola, et al.. (1999). Carbon dioxide angiography of the lower limbs: Initial experience with an automated carbon dioxide injector. Clinical Radiology. 54(12). 833–838. 14 indexed citations

8.

Bees, Nicola, et al.. (1998). Trends in the use of pelvimetry techniques. Clinical Radiology. 53(4). 293–295. 10 indexed citations

9.

Bees, Nicola, Chaan S. Ng, C. Dicks-Mireaux, & Edward M. Kiely. (1997). Gastric malignant schwannoma in a child.. British Journal of Radiology. 70(837). 952–955. 49 indexed citations

10.

Bees, Nicola, et al.. (1997). Neonatal thymic haemorrhage.. British Journal of Radiology. 70(830). 210–212. 11 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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