Paul Beckett

3.4k total citations · 1 hit paper
58 papers, 1.9k citations indexed

About

Paul Beckett is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Paul Beckett has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 22 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Paul Beckett's work include Lung Cancer Diagnosis and Treatment (18 papers), Lung Cancer Treatments and Mutations (16 papers) and Global Cancer Incidence and Screening (12 papers). Paul Beckett is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Lung Cancer Treatments and Mutations (16 papers) and Global Cancer Incidence and Screening (12 papers). Paul Beckett collaborates with scholars based in United Kingdom, United States and Australia. Paul Beckett's co-authors include Alan H. Davidson, W A Galloway, Alan H. Drummond, William C. Thomas, Sachin Patel, Melvin Churchill, Karl N. Miller, John M. Clements, A. J. H. Gearing and Robert J.C. Gilbert and has published in prestigious journals such as Nature, Blood and PLoS ONE.

In The Last Decade

Paul Beckett

55 papers receiving 1.9k citations

Hit Papers

Processing of tumour necrosis factor-α precursor by metal... 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Beckett United Kingdom 14 593 555 530 361 327 58 1.9k
Paula Belloni United States 19 312 0.5× 366 0.7× 830 1.6× 419 1.2× 408 1.2× 45 2.1k
Nils Brünner Denmark 29 972 1.6× 1.0k 1.8× 1.2k 2.3× 322 0.9× 226 0.7× 96 2.4k
C. McDonald United Kingdom 10 689 1.2× 529 1.0× 695 1.3× 116 0.3× 275 0.8× 16 2.4k
Yoshito Takeda Japan 22 158 0.3× 581 1.0× 614 1.2× 619 1.7× 370 1.1× 113 2.0k
Frank Gieseler Germany 28 516 0.9× 1.3k 2.3× 1.1k 2.0× 331 0.9× 387 1.2× 97 2.6k
Ke Yang China 26 394 0.7× 405 0.7× 1.0k 1.9× 247 0.7× 326 1.0× 84 2.1k
Kiyohiko Hatake Japan 24 256 0.4× 760 1.4× 912 1.7× 226 0.6× 777 2.4× 130 2.3k
Shyam S. Chauhan India 25 671 1.1× 609 1.1× 1.1k 2.1× 142 0.4× 241 0.7× 103 2.1k
Akari Suzuki Japan 37 362 0.6× 506 0.9× 1.1k 2.1× 215 0.6× 1.2k 3.7× 100 3.6k
Kun Jiang United States 29 254 0.4× 771 1.4× 1.0k 1.9× 222 0.6× 698 2.1× 83 2.4k

Countries citing papers authored by Paul Beckett

Since Specialization
Citations

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

Fields of papers citing papers by Paul Beckett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Beckett

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

All Works

20 of 20 papers shown
1.
He, Xin, Xiaowei Liu, Xiaoming Shen, et al.. (2024). Tunable THz spectrum analyzer with hyperspectral resolution. Chinese Optics Letters. 22(7). 73601–73601. 1 indexed citations
2.
Bailey, John P., et al.. (2022). Know your enemy: Application of ATR-FTIR spectroscopy to invasive species control. PLoS ONE. 17(1). e0261742–e0261742. 10 indexed citations
4.
5.
Robinson, Steven I., et al.. (2021). P13 Mapping the lung cancer pathway. A92.1–A92. 1 indexed citations
6.
Harden, Susan, Liz Darlison, Paul Beckett, & Anna Bibby. (2020). Standards of care in mesothelioma treatment. British Journal of Cancer. 123(11). 1588–1589. 5 indexed citations
7.
Stewart, Iain, Aamir Khakwani, Andrew Wilcock, et al.. (2019). Is the English Cancer Patient Experience Survey representative? A comparative analysis with the National Lung Cancer Audit. Lung Cancer. 140. 27–34. 6 indexed citations
8.
Khakwani, Aamir, Susan Harden, Paul Beckett, et al.. (2019). Post-treatment survival difference between lobectomy and stereotactic ablative radiotherapy in stage I non-small cell lung cancer in England. Thorax. 75(3). 237–243. 12 indexed citations
9.
Khakwani, Aamir, Paul Beckett, Richard Hubbard, et al.. (2019). Impact of organisation and specialist service delivery on lung cancer outcomes. Thorax. 74(6). 546–550. 8 indexed citations
10.
Khakwani, Aamir, Susan Harden, Neal Navani, Paul Beckett, & Richard C. Hubbard. (2018). P2.16-21 Post-Treatment Survival Difference Between Lobectomy and Stereotactic Ablative Radiotherapy in Stage 1 Non-Small Cell Lung Cancer in England. Journal of Thoracic Oncology. 13(10). S839–S839.
11.
Stewart, Iain, Aamir Khakwani, Richard Hubbard, et al.. (2018). Are working practices of lung cancer nurse specialists associated with variation in peoples’ receipt of anticancer therapy?. Lung Cancer. 123. 160–165. 7 indexed citations
12.
Khakwani, Aamir, Ruth H. Jack, Sally Vernon, et al.. (2017). Apples and pears? A comparison of two sources of national lung cancer audit data in England. ERJ Open Research. 3(3). 3–2017. 7 indexed citations
13.
Khakwani, Aamir, et al.. (2017). S98 Treatment patterns and survival outcomes of stage iiia (n2) non -small cell lung cancer in england. HighWire Press Open Archive. A59–A60.
14.
Peake, Michael, et al.. (2016). Patient characteristics, treatment and survival in pulmonary carcinoid tumours: an analysis from the UK National Lung Cancer Audit. BMJ Open. 6(9). e012530–e012530. 7 indexed citations
15.
Khakwani, Aamir, Richard Hubbard, Paul Beckett, et al.. (2016). Which patients are assessed by lung cancer nurse specialists? A national lung cancer audit study of over 128,000 patients across england. Lung Cancer. 96. 33–40. 10 indexed citations
16.
Beckett, Paul, Laila J. Tata, & Richard Hubbard. (2013). Risk factors and survival outcome for non-elective referral in non-small cell lung cancer patients – Analysis based on the National Lung Cancer Audit. Lung Cancer. 83(3). 396–400. 38 indexed citations
17.
Beckett, Paul, et al.. (2012). Exploring variations in lung cancer care across the UK–the ‘story so far' for the National Lung Cancer Audit. Clinical Medicine. 12(1). 14–18. 27 indexed citations
18.
Tolner, Berend, Lucy Smith, Paul Beckett, et al.. (2007). From laboratory to Phase I/II cancer trials with recombinant biotherapeutics. European Journal of Cancer. 43(17). 2515–2522. 10 indexed citations
19.
Sharma, SK, Berend Tolner, Marc Germain, et al.. (2004). A phase I/II trial of antibody directed enzyme prodrug therapy (ADEPT) with MFECP1 and ZD2767P. UCL Discovery (University College London). 5 indexed citations
20.
Drummond, Alan H., Paul Beckett, Peter de Nully Brown, et al.. (1999). Preclinical and Clinical Studies of MMP Inhibitors in Cancer. Annals of the New York Academy of Sciences. 878(1). 228–235. 181 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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