D A C Deans

1.3k total citations · 1 hit paper
15 papers, 922 citations indexed

About

D A C Deans is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, D A C Deans has authored 15 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in D A C Deans's work include Nutrition and Health in Aging (5 papers), Muscle Physiology and Disorders (4 papers) and Esophageal Cancer Research and Treatment (4 papers). D A C Deans is often cited by papers focused on Nutrition and Health in Aging (5 papers), Muscle Physiology and Disorders (4 papers) and Esophageal Cancer Research and Treatment (4 papers). D A C Deans collaborates with scholars based in United Kingdom, Norway and Switzerland. D A C Deans's co-authors include Stephen J. Wigmore, Simon Paterson‐Brown, Richard J. E. Skipworth, J. A. Ross, Michael Hughes, Peter Lamb, H M Gilmour, Kenneth C. H. Fearon, A. C. de Beaux and K.C.H. Fearon and has published in prestigious journals such as British Journal of Cancer, British journal of surgery and World Journal of Surgery.

In The Last Decade

D A C Deans

15 papers receiving 909 citations

Hit Papers

Prehabilitation Before Major Abdominal Surgery: A Systema... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D A C Deans United Kingdom 13 380 373 257 174 168 15 922
Minghua Cong China 17 427 1.1× 147 0.4× 253 1.0× 102 0.6× 83 0.5× 57 839
Piotr Richter Poland 19 131 0.3× 759 2.0× 590 2.3× 99 0.6× 195 1.2× 71 1.1k
Zengqing Guo China 17 419 1.1× 187 0.5× 397 1.5× 162 0.9× 212 1.3× 74 1.0k
Yaşar Yıldız Türkiye 18 90 0.2× 124 0.3× 381 1.5× 128 0.7× 138 0.8× 67 798
Ángel Segura Spain 15 182 0.5× 143 0.4× 462 1.8× 86 0.5× 125 0.7× 45 881
Neil Chua Canada 21 255 0.7× 100 0.3× 1.1k 4.1× 133 0.8× 270 1.6× 62 1.7k
K. Wakai Japan 14 75 0.2× 328 0.9× 388 1.5× 113 0.6× 173 1.0× 18 988
Ben Creavin Ireland 19 159 0.4× 522 1.4× 659 2.6× 47 0.3× 134 0.8× 54 1.0k
Richard Charnley United Kingdom 21 148 0.4× 1.1k 3.0× 1.1k 4.4× 181 1.0× 419 2.5× 73 1.7k
Éanna J. Ryan Ireland 22 172 0.5× 589 1.6× 671 2.6× 89 0.5× 192 1.1× 96 1.4k

Countries citing papers authored by D A C Deans

Since Specialization
Citations

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

Fields of papers citing papers by D A C Deans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D A C Deans. 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 D A C Deans. The network helps show where D A C Deans may publish in the future.

Co-authorship network of co-authors of D A C Deans

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

All Works

15 of 15 papers shown
1.
Hughes, Michael, et al.. (2019). Prehabilitation Before Major Abdominal Surgery: A Systematic Review and Meta‐analysis. World Journal of Surgery. 43(7). 1661–1668. 243 indexed citations breakdown →
2.
Hughes, Michael, et al.. (2017). Systematic Review and Meta‐Analysis of Epidural Analgesia Versus Different Analgesic Regimes Following Oesophagogastric Resection. World Journal of Surgery. 42(1). 204–210. 12 indexed citations
3.
Johns, Neil, Cynthia Stretch, Benjamin Tan, et al.. (2016). New genetic signatures associated with cancer cachexia as defined by low skeletal muscle index and weight loss. Journal of Cachexia Sarcopenia and Muscle. 8(1). 122–130. 49 indexed citations
4.
Tan, Benjamin, Torill Fladvad, Theodore P. Braun, et al.. (2012). P‐selectin genotype is associated with the development of cancer cachexia. EMBO Molecular Medicine. 4(6). 462–471. 37 indexed citations
5.
Stewart, Grant D., Alexander J. Stokes, Kelly Gray, et al.. (2012). mRNA profiling of the cancer degradome in oesophago–gastric adenocarcinoma. British Journal of Cancer. 107(1). 143–149. 14 indexed citations
6.
Skipworth, Richard J.E., D A C Deans, Benjamin Tan, et al.. (2010). Plasma MIC-1 correlates with systemic inflammation but is not an independent determinant of nutritional status or survival in oesophago-gastric cancer. British Journal of Cancer. 102(4). 665–672. 38 indexed citations
7.
Deans, D A C, Bohao Tan, Stephen J. Wigmore, et al.. (2009). The influence of systemic inflammation, dietary intake and stage of disease on rate of weight loss in patients with gastro-oesophageal cancer. British Journal of Cancer. 100(1). 63–69. 144 indexed citations
8.
Stewart, Grant D., Richard J.E. Skipworth, Caroline J. Pennington, et al.. (2008). Variation in dermcidin expression in a range of primary human tumours and in hypoxic/oxidatively stressed human cell lines. British Journal of Cancer. 99(1). 126–132. 22 indexed citations
9.
Eley, Helen L., Richard J. E. Skipworth, D A C Deans, Kenneth C. H. Fearon, & M J Tisdale. (2007). Increased expression of phosphorylated forms of RNA-dependent protein kinase and eukaryotic initiation factor 2α may signal skeletal muscle atrophy in weight-losing cancer patients. British Journal of Cancer. 98(2). 443–449. 41 indexed citations
10.
Tan, Benjamin, D A C Deans, Richard J. E. Skipworth, J. A. Ross, & Kenneth C. H. Fearon. (2007). Biomarkers for cancer cachexia: is there also a genetic component to cachexia?. Supportive Care in Cancer. 16(3). 229–234. 28 indexed citations
11.
Deans, D A C, Stephen J. Wigmore, H M Gilmour, et al.. (2007). Reply: Expression of the proteolysis-inducing factor core-peptide mRNA is upregulated in both tumour and adjacent normal tissue in gastrooesophageal malignancy. British Journal of Cancer. 98(1). 243–243. 1 indexed citations
12.
Deans, D A C, Stephen J. Wigmore, A. C. de Beaux, et al.. (2007). Clinical prognostic scoring system to aid decision-making in gastro-oesophageal cancer. British journal of surgery. 94(12). 1501–1508. 46 indexed citations
13.
Davies, Andrew, D A C Deans, Ian Penman, et al.. (2006). The multidisciplinary team meeting improves staging accuracy and treatment selection for gastro-esophageal cancer. Diseases of the Esophagus. 19(6). 496–503. 126 indexed citations
14.
Deans, D A C, Stephen J. Wigmore, H M Gilmour, et al.. (2006). Expression of the proteolysis-inducing factor core peptide mRNA is upregulated in both tumour and adjacent normal tissue in gastro-oesophageal malignancy. British Journal of Cancer. 94(5). 731–736. 28 indexed citations
15.
Deans, D A C, Stephen J. Wigmore, H M Gilmour, et al.. (2006). Elevated tumour interleukin-1β is associated with systemic inflammation: a marker of reduced survival in gastro-oesophageal cancer. British Journal of Cancer. 95(11). 1568–1575. 93 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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