Paul M. Neilsen

2.8k total citations · 1 hit paper
44 papers, 2.1k citations indexed

About

Paul M. Neilsen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Paul M. Neilsen has authored 44 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Paul M. Neilsen's work include Cancer-related Molecular Pathways (13 papers), MicroRNA in disease regulation (6 papers) and Ubiquitin and proteasome pathways (6 papers). Paul M. Neilsen is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), MicroRNA in disease regulation (6 papers) and Ubiquitin and proteasome pathways (6 papers). Paul M. Neilsen collaborates with scholars based in Australia, Malaysia and United States. Paul M. Neilsen's co-authors include David F. Callen, Rachel J. Suetani, Sam Mattiske, Janice S. Mani, Mani Naiker, Joel B. Johnson, Kerry B. Walsh, Daniel Broszczak, Jacqueline E. Noll and Jason C. Steel and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Paul M. Neilsen

44 papers receiving 2.1k citations

Hit Papers

Natural product-derived phytochemicals as potential agent... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul M. Neilsen Australia 22 1.3k 596 572 211 165 44 2.1k
Ernesto Yagüe United Kingdom 30 1.6k 1.3× 830 1.4× 632 1.1× 156 0.7× 147 0.9× 60 2.5k
D. Joshua Liao United States 27 1.6k 1.3× 640 1.1× 663 1.2× 376 1.8× 168 1.0× 111 2.6k
Shuying Liu China 23 1.5k 1.2× 491 0.8× 412 0.7× 241 1.1× 146 0.9× 53 2.3k
Elizabeth R. Rayburn United States 26 1.9k 1.5× 810 1.4× 366 0.6× 119 0.6× 113 0.7× 43 2.6k
Ling‐Wen Ding Singapore 29 1.6k 1.3× 506 0.8× 541 0.9× 102 0.5× 318 1.9× 65 2.4k
Ju‐Gyeong Kang United States 19 2.2k 1.8× 626 1.1× 1.0k 1.8× 390 1.8× 111 0.7× 36 3.1k
Rong‐Guang Shao China 32 1.8k 1.5× 585 1.0× 374 0.7× 109 0.5× 139 0.8× 120 2.8k
Angela Hague United Kingdom 25 1.4k 1.1× 758 1.3× 441 0.8× 380 1.8× 145 0.9× 53 2.8k
Xiaohe Yang United States 25 1.8k 1.5× 818 1.4× 396 0.7× 229 1.1× 151 0.9× 51 2.7k
Yufang Wang China 23 1.6k 1.3× 415 0.7× 477 0.8× 163 0.8× 203 1.2× 75 2.5k

Countries citing papers authored by Paul M. Neilsen

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Neilsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Neilsen

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Neilsen. A scholar is included among the top collaborators of Paul M. Neilsen 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 M. Neilsen. Paul M. Neilsen 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
2.
Wilson, Alyson G., et al.. (2020). Quantifying human post-mortem movement resultant from decomposition processes. Forensic Science International Synergy. 2. 248–261. 11 indexed citations
3.
Mani, Janice S., Joel B. Johnson, Jason C. Steel, et al.. (2020). Natural product-derived phytochemicals as potential agents against coronaviruses: A review. Virus Research. 284. 197989–197989. 350 indexed citations breakdown →
4.
Neilsen, Paul M., et al.. (2020). P53 activation suppresses irinotecan metabolite SN-38-induced cell damage in non-malignant but not malignant epithelial colonic cells. Toxicology in Vitro. 67. 104908–104908. 4 indexed citations
6.
Tarulli, Gerard A., Lei Sheng, Noor A. Lokman, et al.. (2017). Mutant p53 upregulates alpha-1 antitrypsin expression and promotes invasion in lung cancer. Oncogene. 36(31). 4469–4480. 36 indexed citations
7.
Walz, Katherina, Paul M. Neilsen, Joseph Foster, et al.. (2014). Characterization of ANKRD11 mutations in humans and mice related to KBG syndrome. Human Genetics. 134(2). 181–190. 40 indexed citations
8.
Pishas, Kathleen I., Susan J. Neuhaus, Mark Clayer, et al.. (2013). Nutlin-3a Efficacy in Sarcoma Predicted by Transcriptomic and Epigenetic Profiling. Cancer Research. 74(3). 921–931. 22 indexed citations
9.
Lane, David P., Sai Mun Leong, Jacqueline E. Noll, et al.. (2013). Wild-type and mutant p53 mediate cisplatin resistance through interaction and inhibition of active caspase-9. Cell Cycle. 12(2). 278–288. 51 indexed citations
10.
Mattiske, Sam, Rachel J. Suetani, Paul M. Neilsen, & David F. Callen. (2012). The Oncogenic Role of miR-155 in Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 21(8). 1236–1243. 252 indexed citations
11.
Neilsen, Paul M., Jacqueline E. Noll, Sam Mattiske, et al.. (2012). Mutant p53 drives invasion in breast tumors through up-regulation of miR-155. Oncogene. 32(24). 2992–3000. 146 indexed citations
12.
Azad, Arun, Susan Jackson, Carleen Cullinane, et al.. (2011). Inhibition of DNA-Dependent Protein Kinase Induces Accelerated Senescence in Irradiated Human Cancer Cells. Molecular Cancer Research. 9(12). 1696–1707. 51 indexed citations
13.
Neilsen, Paul M., et al.. (2011). The Application of Delivery Systems for DNA Methyltransferase Inhibitors. BioDrugs. 25(4). 227–242. 9 indexed citations
14.
Noll, Jacqueline E., Jessie Jeffery, Fares Al‐Ejeh, et al.. (2011). Mutant p53 drives multinucleation and invasion through a process that is suppressed by ANKRD11. Oncogene. 31(23). 2836–2848. 59 indexed citations
15.
Kumar, Raman, et al.. (2011). Genome-wide mapping of ZNF652 promoter binding sites in breast cancer cells. Journal of Cellular Biochemistry. 112(10). 2742–2747. 15 indexed citations
16.
Pishas, Kathleen I., Fares Al‐Ejeh, Irene Zinonos, et al.. (2010). Nutlin-3a Is a Potential Therapeutic for Ewing Sarcoma. Clinical Cancer Research. 17(3). 494–504. 59 indexed citations
17.
Kumar, Raman, Paul M. Neilsen, Paul Anderson, et al.. (2010). Systematic characterisation of the rat and human CYP24A1 promoter. Molecular and Cellular Endocrinology. 325(1-2). 46–53. 16 indexed citations
18.
Kumar, Raman, Kelly M. Cheney, Paul M. Neilsen, et al.. (2008). CBFA2T3-ZNF652 Corepressor Complex Regulates Transcription of the E-box Gene HEB. Journal of Biological Chemistry. 283(27). 19026–19038. 31 indexed citations
19.
Neilsen, Paul M., Kelly M. Cheney, Chia-Wei Li, et al.. (2008). Identification of ANKRD11 as a p53 coactivator. Journal of Cell Science. 121(21). 3541–3552. 61 indexed citations
20.
Kumar, Raman, Paul M. Neilsen, Joanna Crawford, et al.. (2005). FBXO31 Is the Chromosome 16q24.3 Senescence Gene, a Candidate Breast Tumor Suppressor, and a Component of an SCF Complex. Cancer Research. 65(24). 11304–11313. 65 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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