M.A. Underwood

499 total citations
10 papers, 402 citations indexed

About

M.A. Underwood is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, M.A. Underwood has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in M.A. Underwood's work include Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and HER2/EGFR in Cancer Research (2 papers). M.A. Underwood is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and HER2/EGFR in Cancer Research (2 papers). M.A. Underwood collaborates with scholars based in United Kingdom. M.A. Underwood's co-authors include John M.S. Bartlett, Donald C. McMillan, Ian Dunn, A.D. Watters, Ken Grigor, A. M. McNicol, Joanne Edwards, Peter McArdle, Khalid Canna and John H. Bull and has published in prestigious journals such as Genome Research, British Journal of Cancer and European Journal of Cancer.

In The Last Decade

M.A. Underwood

10 papers receiving 399 citations

Peers

M.A. Underwood

MB

PRM

ONCOL

CR

SURGE

Siina Junnila Finland

Nataliya Gladoun United States

Deguang Kong China

Jennifer R. Ribeiro United States

C. Magi-Galluzzi United States

Dongmei Lin China

Jugang Wu China

Kejia Ding China

Weiying Li China

Siina Junnila Finland

M.A. Underwood

273 ×1.5

MB

114 ×0.8

PRM

116 ×0.8

ONCOL

98 ×1.0

CR

60 ×0.7

SURGE

Citations per year, relative to M.A. Underwood M.A. Underwood (= 1×) peers Siina Junnila

Countries citing papers authored by M.A. Underwood

Since Specialization

Citations

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

Fields of papers citing papers by M.A. Underwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Underwood. 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 M.A. Underwood. The network helps show where M.A. Underwood may publish in the future.

Co-authorship network of co-authors of M.A. Underwood

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Underwood. A scholar is included among the top collaborators of M.A. Underwood 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 M.A. Underwood. M.A. Underwood 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.

Heng, Jacob S., et al.. (2016). Androgen receptor phosphorylation status at serine 578 predicts poor outcome in prostate cancer patients. Oncotarget. 8(3). 4875–4887. 14 indexed citations

2.

Qayyum, Tahir, et al.. (2013). The Accuracy of Magnetic Resonance Imaging in Radical Prostatectomy. Current Urology. 7(2). 62–64. 1 indexed citations

3.

McCall, Philip, L. Michelle Bennett, Imran Ahmad, et al.. (2012). NFκB signalling is upregulated in a subset of castrate-resistant prostate cancer patients and correlates with disease progression. British Journal of Cancer. 107(9). 1554–1563. 54 indexed citations

4.

Shini, S., et al.. (2011). Heregulin Expression and Prognosis in Prostate Adenocarcinoma. Urologia Internationalis. 87(3). 363–368. 4 indexed citations

5.

Mukherjee, R, John M.S. Bartlett, N. Sarath Krishna, M.A. Underwood, & Joanne Edwards. (2005). Raf‐1 expression may influence progression to androgen insensitive prostate cancer. The Prostate. 64(1). 101–107. 37 indexed citations

6.

McArdle, Peter, et al.. (2004). The relationship between T-lymphocyte subset infiltration and survival in patients with prostate cancer. British Journal of Cancer. 91(3). 541–543. 91 indexed citations

7.

Wallace, Andrew, et al.. (2004). Comparison of total, complexed and free prostate-specific antigens and their ratios in the detection of prostate cancer in a non-screened population. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 41(3). 201–206. 4 indexed citations

8.

Watters, A.D., et al.. (2003). HER2/neu gene amplification and protein overexpression in G3 pT2 transitional cell carcinoma of the bladder: a role for anti-HER2 therapy?. European Journal of Cancer. 40(1). 56–63. 97 indexed citations

9.

Bull, John H., Gillian Ellison, Anup Patel, et al.. (2001). Identification of potential diagnostic markers of prostate cancer and prostatic intraepithelial neoplasia using cDNA microarray. British Journal of Cancer. 84(11). 1512–1519. 93 indexed citations

10.

Underwood, M.A., John M.S. Bartlett, & T G Cooke. (1994). An improved method for semiquantification of gene amplification from archival material.. Genome Research. 4(3). 178–184. 7 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.

Explore authors with similar magnitude of impact