Richard Allman

1.4k total citations
48 papers, 1.0k citations indexed

About

Richard Allman is a scholar working on Oncology, Genetics and Biomedical Engineering. According to data from OpenAlex, Richard Allman has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 15 papers in Genetics and 7 papers in Biomedical Engineering. Recurrent topics in Richard Allman's work include BRCA gene mutations in cancer (9 papers), Genetic Associations and Epidemiology (8 papers) and Global Cancer Incidence and Screening (6 papers). Richard Allman is often cited by papers focused on BRCA gene mutations in cancer (9 papers), Genetic Associations and Epidemiology (8 papers) and Global Cancer Incidence and Screening (6 papers). Richard Allman collaborates with scholars based in Australia, United Kingdom and United States. Richard Allman's co-authors include David Lloyd, Malcolm D. Mason, D.J. Mason, J. M. Stark, Gillian S. Dite, A.C. Hann, John L. Hopper, Rafael Fuentes, Nicholas M. Murphy and Michelle J. Humphreys and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Richard Allman

44 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Allman Australia 17 297 270 203 146 145 48 1.0k
C. Nicole Rosenzweig United States 16 438 1.5× 156 0.6× 111 0.5× 141 1.0× 87 0.6× 35 1.1k
David Liao United States 16 372 1.3× 250 0.9× 316 1.6× 83 0.6× 84 0.6× 32 1.2k
Pu Tian China 23 725 2.4× 218 0.8× 206 1.0× 174 1.2× 97 0.7× 125 1.8k
Anna Brown Australia 27 686 2.3× 168 0.6× 211 1.0× 130 0.9× 88 0.6× 70 1.7k
Marco Messina Italy 18 384 1.3× 78 0.3× 171 0.8× 180 1.2× 152 1.0× 78 1.1k
Paul Costeas Cyprus 19 411 1.4× 166 0.6× 144 0.7× 197 1.3× 51 0.4× 47 1.4k
Masatoshi Yamada Japan 16 439 1.5× 160 0.6× 235 1.2× 158 1.1× 51 0.4× 70 1.2k
Darlene E. Jenkins United States 14 978 3.3× 306 1.1× 400 2.0× 227 1.6× 111 0.8× 14 1.8k
David Whitcombe United Kingdom 11 819 2.8× 222 0.8× 89 0.4× 113 0.8× 93 0.6× 17 1.1k
Berend Tolner United Kingdom 26 953 3.2× 181 0.7× 274 1.3× 297 2.0× 47 0.3× 50 1.8k

Countries citing papers authored by Richard Allman

Since Specialization
Citations

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

Fields of papers citing papers by Richard Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Allman

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Allman. A scholar is included among the top collaborators of Richard Allman 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 Richard Allman. Richard Allman 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.
Stephens, Andrew N., et al.. (2024). Utility of a Multi-Marker Panel with Ultrasound for Enhanced Classification of Adnexal Mass. Cancers. 16(11). 2048–2048.
2.
Allman, Richard, Yi Mu, Gillian S. Dite, et al.. (2023). Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk. Breast Cancer Research and Treatment. 198(2). 335–347. 11 indexed citations
3.
Spaeth, Erika L., Gillian S. Dite, John L. Hopper, & Richard Allman. (2023). Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population. Cancer Prevention Research. 16(5). 281–291. 6 indexed citations
4.
Dite, Gillian S., et al.. (2023). Predicting 10-Year Risk of Pancreatic Cancer Using a Combined Genetic and Clinical Model. SHILAP Revista de lepidopterología. 2(7). 979–989. 4 indexed citations
5.
Dite, Gillian S., Erika L. Spaeth, Nicholas M. Murphy, & Richard Allman. (2023). Development and validation of a simple prostate cancer risk prediction model based on age, family history, and polygenic risk. The Prostate. 83(10). 962–969. 2 indexed citations
6.
Makalic, Enes, et al.. (2022). Polygenic risk scores for cardiovascular diseases and type 2 diabetes. PLoS ONE. 17(12). e0278764–e0278764. 6 indexed citations
7.
Dite, Gillian S., et al.. (2021). Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. PLoS ONE. 16(9). e0251469–e0251469. 4 indexed citations
8.
Allman, Richard, Erika L. Spaeth, John Lai, Susan J. Gross, & John L. Hopper. (2021). A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk score. PLoS ONE. 16(1). e0245375–e0245375. 6 indexed citations
9.
Dite, Gillian S., Nicholas M. Murphy, & Richard Allman. (2021). Development and validation of a clinical and genetic model for predicting risk of severe COVID-19. Epidemiology and Infection. 149. e162–e162. 15 indexed citations
10.
Dite, Gillian S., Nicholas M. Murphy, & Richard Allman. (2021). An integrated clinical and genetic model for predicting risk of severe COVID-19: A population-based case–control study. PLoS ONE. 16(2). e0247205–e0247205. 22 indexed citations
11.
Starlard‐Davenport, Athena, Richard Allman, Gillian S. Dite, et al.. (2018). Validation of a genetic risk score for Arkansas women of color. PLoS ONE. 13(10). e0204834–e0204834. 13 indexed citations
12.
Allman, Richard, Gillian S. Dite, John L. Hopper, et al.. (2015). SNPs and breast cancer risk prediction for African American and Hispanic women. Breast Cancer Research and Treatment. 154(3). 583–589. 38 indexed citations
13.
French, Amy J., et al.. (2003). Investigation of sequential mitomycin C and photodynamic therapy in a mitomycin‐resistant bladder cancer cell‐line model. British Journal of Urology. 93(1). 156–161. 14 indexed citations
14.
15.
Allman, Richard, et al.. (2000). Effect of photodynamic therapy in combination with ionizing radiation on human squamous cell carcinoma cell lines of the head and neck. British Journal of Cancer. 83(5). 655–661. 38 indexed citations
16.
Fuentes, Rafael, Richard Allman, & Malcolm D. Mason. (1997). Ganglioside expression in lung cancer cell lines. Lung Cancer. 18(1). 21–33. 52 indexed citations
17.
Mason, D.J., et al.. (1995). The ability of membrane potential dyes and calcafluor white to distinguish between viable and non‐viable bacteria. Journal of Applied Bacteriology. 78(3). 309–315. 100 indexed citations
18.
Mason, D.J., Richard Allman, J. M. Stark, & David Lloyd. (1994). Rapid estimation of bacterial antibiotic susceptibility with flow cytometry. Journal of Microscopy. 176(1). 8–16. 81 indexed citations
19.
Humphreys, Michelle J., Richard Allman, & David Lloyd. (1994). Determination of the viability of trichomonas vaginalis using flow cytometry. Cytometry. 15(4). 343–348. 47 indexed citations
20.
Allman, Richard, A.C. Hann, R.J. Manchee, & David Lloyd. (1992). Characterization of bacteria by multiparameter flow cytometry. Journal of Applied Bacteriology. 73(5). 438–444. 52 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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