Pete Ansell

647 total citations
8 papers, 369 citations indexed

About

Pete Ansell is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Pete Ansell has authored 8 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Pete Ansell's work include Estrogen and related hormone effects (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Pete Ansell is often cited by papers focused on Estrogen and related hormone effects (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Pete Ansell collaborates with scholars based in United States, Japan and France. Pete Ansell's co-authors include Dennis B. Lubahn, Nader S. Shenouda, Mary S. Sakla, Ruth S. MacDonald, Mark Hannink, Jimmy D. Browning, Edward M. Curran, Barbara M. Judy, Barbara J. Philips and S.-C.B. Lo and has published in prestigious journals such as Biochemistry, Endocrinology and Annals of Oncology.

In The Last Decade

Pete Ansell

8 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pete Ansell United States	6	210	107	77	72	39	8	369
Manabu Matsunawa Japan	9	135 0.6×	65 0.6×	150 1.9×	67 0.9×	30 0.8×	22	401
Kevin Shoulars United States	13	159 0.8×	67 0.6×	33 0.4×	49 0.7×	77 2.0×	23	377
Angela Cisneros United States	8	237 1.1×	50 0.5×	31 0.4×	57 0.8×	27 0.7×	13	395
Zenglin Lian Japan	12	348 1.7×	101 0.9×	74 1.0×	93 1.3×	16 0.4×	14	531
Sumi Dinda United States	12	210 1.0×	182 1.7×	42 0.5×	175 2.4×	22 0.6×	21	497
Sebastiano Andò Italy	6	287 1.4×	125 1.2×	70 0.9×	101 1.4×	11 0.3×	7	495
Pamela K. Shetler United States	10	148 0.7×	196 1.8×	31 0.4×	50 0.7×	10 0.3×	13	503
María Eugenia Fermento Argentina	12	322 1.5×	37 0.3×	80 1.0×	59 0.8×	24 0.6×	17	450
Sylvia Aust Austria	11	147 0.7×	38 0.4×	35 0.5×	111 1.5×	9 0.2×	14	356
Dana Macejová Slovakia	13	230 1.1×	97 0.9×	43 0.6×	94 1.3×	5 0.1×	54	456

Countries citing papers authored by Pete Ansell

Since Specialization

Citations

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

Fields of papers citing papers by Pete Ansell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Ansell

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Ansell. A scholar is included among the top collaborators of Pete Ansell 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 Pete Ansell. Pete Ansell 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:

8 of 8 papers shown

1.

Le, Xiuning, Charu Aggarwal, Andrew Simmons, et al.. (2024). 1303P METPRO: Evaluating prognostic value of c-Met protein overexpression and concurrent biomarker presence. Annals of Oncology. 35. S829–S829. 1 indexed citations

2.

Grégoire, V., Julien Labreuche, Hélène Béhal, et al.. (2024). 165P Consistency analysis of c-Met protein expression over time in patients with non-squamous non-small cell lung cancer. Annals of Oncology. 35. S282–S282. 1 indexed citations

3.

Baxter, Patricia, Jack M. Su, Arzu Onar‐Thomas, et al.. (2020). A phase I/II study of veliparib (ABT-888) with radiation and temozolomide in newly diagnosed diffuse pontine glioma: a Pediatric Brain Tumor Consortium study. Neuro-Oncology. 22(6). 875–885. 66 indexed citations

4.

Sakla, Mary S., Nader S. Shenouda, Pete Ansell, Ruth S. MacDonald, & Dennis B. Lubahn. (2007). Genistein affects HER2 protein concentration, activation, and promoter regulation in BT-474 human breast cancer cells. Endocrine. 32(1). 69–78. 51 indexed citations

5.

Ansell, Pete, et al.. (2005). Repression of cancer protective genes by 17β-estradiol: Ligand-dependent interaction between human Nrf2 and estrogen receptor α. Molecular and Cellular Endocrinology. 243(1-2). 27–34. 67 indexed citations

6.

Shenouda, Nader S., Jimmy D. Browning, Pete Ansell, et al.. (2004). Phytoestrogens in Common Herbs Regulate Prostate Cancer Cell Growth in Vitro. Nutrition and Cancer. 49(2). 200–208. 92 indexed citations

7.

Philips, Brian J., Pete Ansell, Leslie G. Newton, et al.. (2004). Estrogen Receptor-Independent Catechol Estrogen Binding Activity: Protein Binding Studies in Wild-Type, Estrogen Receptor-α KO, and Aromatase KO Mice Tissues. Biochemistry. 43(21). 6698–6708. 20 indexed citations

8.

Ansell, Pete, Edward M. Curran, Barbara M. Judy, et al.. (2003). In Vitro and in Vivo Regulation of Antioxidant Response Element-Dependent Gene Expression by Estrogens. Endocrinology. 145(1). 311–317. 71 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