Dawn Trueman

465 total citations
7 papers, 39 citations indexed

About

Dawn Trueman is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dawn Trueman has authored 7 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dawn Trueman's work include Estrogen and related hormone effects (3 papers), Microtubule and mitosis dynamics (2 papers) and Prostate Cancer Treatment and Research (2 papers). Dawn Trueman is often cited by papers focused on Estrogen and related hormone effects (3 papers), Microtubule and mitosis dynamics (2 papers) and Prostate Cancer Treatment and Research (2 papers). Dawn Trueman collaborates with scholars based in United Kingdom, United States and Singapore. Dawn Trueman's co-authors include Rajesh Odedra, Susan Ashton, Nicola J. Curtis, Simon T. Barry, James Pilling, Maureen M. Hattersley, Shenghua Wen, Vivien N. Jacobs, Emily Harris and Paula Taylor and has published in prestigious journals such as Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Dawn Trueman

5 papers receiving 39 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawn Trueman United Kingdom	3	15	15	11	11	10	7	39
Xiaowen Chin Australia	4	24 1.6×	14 0.9×	2 0.2×	9 0.8×	6 0.6×	4	42
Karrie Du United States	5	10 0.7×	28 1.9×	2 0.2×	4 0.4×	9 0.9×	5	48
Siebe Loontiens Belgium	5	19 1.3×	9 0.6×		12 1.1×	6 0.6×	10	39
Alberto Martín‐Lorenzo Spain	3	20 1.3×	8 0.5×	8 0.7×		6 0.6×	6	40
Benedetta Cabiati Italy	3	13 0.9×	13 0.9×	5 0.5×		6 0.6×	3	37
Jonathan Sussman United States	5	25 1.7×	8 0.5×	1 0.1×	5 0.5×	3 0.3×	21	61
Irene del Molino del Barrio United Kingdom	5	16 1.1×	21 1.4×	2 0.2×	4 0.4×		5	46
Akihiko Chiba Japan	5	26 1.7×	7 0.5×	6 0.5×	4 0.4×		7	70
Ramon Lorenzo D. Labitigan United States	2	43 2.9×	6 0.4×	3 0.3×	18 1.6×	2 0.2×	2	73
Angela Schwarz‐Cruz y Celis Mexico	3	29 1.9×	25 1.7×	2 0.2×	3 0.3×	2 0.2×	3	51

Countries citing papers authored by Dawn Trueman

Since Specialization

Citations

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

Fields of papers citing papers by Dawn Trueman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn Trueman

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

All Works

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7 of 7 papers shown

Lawson, Mandy, Michelle DuPont, Oona Delpuech, et al.. (2020). Abstract 4379: Not all selective estrogen receptor degraders are equal - Preclinical comparison of AZD9833, AZD9496 and fulvestrant. Cancer Research. 80(16_Supplement). 4379–4379. 3 indexed citations

Gutierrez, Pablo Morentin, Christopher J. Morrow, Mandy Lawson, et al.. (2020). Abstract 4369: Preclinical mechanistic PK/PD-efficacy modeling for AZD9833, a novel next generation oral SERD, to support dose selection during early clinical development. Cancer Research. 80(16_Supplement). 4369–4369.

Floc’h, Nicolas, Susan Ashton, Paula Taylor, et al.. (2017). Optimizing Therapeutic Effect of Aurora B Inhibition in Acute Myeloid Leukemia with AZD2811 Nanoparticles. Molecular Cancer Therapeutics. 16(6). 1031–1040. 29 indexed citations

Klein, Stéphanie, Danielle M. Greenawalt, Dawn Trueman, et al.. (2015). Abstract 5146: Establishment of an orthotopic bladder cancer model to evaluate continuous intravesical delivery of small molecule inhibitors in the nude rat. Cancer Research. 75(15_Supplement). 5146–5146. 1 indexed citations

Barry, Simon T., Elaine Cadogan, Rajesh Odedra, et al.. (2014). Abstract 5409: AZD1152-hQPA Accurins: Nanoparticle formulations showing extended release and the potential for improved therapeutic index. Cancer Research. 74(19_Supplement). 5409–5409. 2 indexed citations

Loddick, Sarah A., Luke Gaughan, Jim Growcott, et al.. (2012). Abstract 3848: Preclinical profile of AZD3514: A small molecule-targeting androgen receptor function with a novel mechanism of action and the potential to treat castration-resistant prostate cancer. Cancer Research. 72(8_Supplement). 3848–3848. 4 indexed citations

Loddick, Sarah A., Sandra R. Brave, Luke Gaughan, et al.. (2011). Abstract B107: Characterization of a small molecule selective androgen receptor downregulator: A novel approach for the treatment of castration-resistant prostate cancer.. Molecular Cancer Therapeutics. 10(11_Supplement). B107–B107.

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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