Michael Michael

7.5k total citations · 3 hit papers
114 papers, 6.0k citations indexed

About

Michael Michael is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Michael Michael has authored 114 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 40 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Michael Michael's work include MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (16 papers) and Circular RNAs in diseases (14 papers). Michael Michael is often cited by papers focused on MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (16 papers) and Circular RNAs in diseases (14 papers). Michael Michael collaborates with scholars based in Australia, United States and United Kingdom. Michael Michael's co-authors include Jonathan Gleadle, Hamish W. King, Graeme P. Young, Robert J. James, Michael W. Graham, David I. Watson, Jordan Li, Exmond E. Decruz, Mario Noyer-Weidner and Steven S. Smith and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Michael

108 papers receiving 5.8k citations

Hit Papers

Reduced accumulation of specific microRNAs in colorect... 1989 2026 2001 2013 2003 2012 1989 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Michael Australia 34 4.2k 3.1k 592 502 425 114 6.0k
Kuo‐Wei Chang Taiwan 50 3.6k 0.9× 2.7k 0.9× 1.3k 2.1× 416 0.8× 437 1.0× 177 6.6k
Zhe Li China 44 3.9k 0.9× 2.2k 0.7× 360 0.6× 263 0.5× 328 0.8× 206 5.7k
Frank Church United States 42 2.9k 0.7× 1.9k 0.6× 548 0.9× 328 0.7× 361 0.8× 128 7.3k
Xiaofeng Zhou United States 44 3.6k 0.9× 2.5k 0.8× 758 1.3× 430 0.9× 344 0.8× 115 5.9k
Xiaofeng Li China 41 4.5k 1.1× 1.8k 0.6× 1.1k 1.8× 651 1.3× 412 1.0× 330 7.8k
Zhiming Cai China 38 3.1k 0.7× 1.7k 0.6× 495 0.8× 601 1.2× 366 0.9× 182 4.7k
Zhen Chen China 42 4.0k 1.0× 1.8k 0.6× 418 0.7× 529 1.1× 415 1.0× 241 6.3k
Zhixiang Zuo China 36 4.5k 1.1× 2.5k 0.8× 632 1.1× 302 0.6× 499 1.2× 113 6.5k
Wen‐chang Lin Taiwan 41 3.3k 0.8× 1.7k 0.6× 806 1.4× 404 0.8× 751 1.8× 168 6.0k
Hiroyuki Kamiya Japan 46 5.2k 1.3× 1.3k 0.4× 359 0.6× 839 1.7× 273 0.6× 260 7.0k

Countries citing papers authored by Michael Michael

Since Specialization
Citations

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

Fields of papers citing papers by Michael Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Michael

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Michael. A scholar is included among the top collaborators of Michael Michael 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 Michael Michael. Michael Michael 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.
Vatandoust, Sina, Luigi Sposato, David A. Wattchow, et al.. (2026). Bowel Function in Survivors of Rectal Cancer Managed with Watch-and-Wait Versus Surgery. Journal of Gastrointestinal Cancer. 57(1). 26–26.
2.
Kashyap, Raghava, Ramin Alipour, Emma Boehm, et al.. (2025). Safety and efficacy of re-treatment with [177Lu]Lu-DOTA-Octreotate radionuclide therapy in progressive gastro-entero-pancreatic neuroendocrine tumours – a single centre experience. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3672–3681. 1 indexed citations
3.
Orang, Ayla, Shashikanth Marri, Ross A. McKinnon, Janni Petersen, & Michael Michael. (2024). Restricting Colorectal Cancer Cell Metabolism with Metformin: An Integrated Transcriptomics Study. Cancers. 16(11). 2055–2055. 3 indexed citations
4.
5.
Chuah, Clarence, Andrew E. Whitten, Elliot P. Gilbert, et al.. (2024). Vortex fluidic regulated phospholipid equilibria involving liposomes down to sub-micelle size assemblies. Nanoscale Advances. 6(4). 1202–1212. 2 indexed citations
6.
Wang, Tingting, Eleanor W. Trotter, Michael Michael, et al.. (2023). Elevated basal AMP-activated protein kinase activity sensitizes colorectal cancer cells to growth inhibition by metformin. Open Biology. 13(4). 230021–230021. 6 indexed citations
7.
Ma, Yuefang, Liam M. Ashander, Binoy Appukuttan, et al.. (2023). Selective Transcription Factor Blockade Reduces Human Retinal Endothelial Cell Expression of Intercellular Adhesion Molecule-1 and Leukocyte Binding. International Journal of Molecular Sciences. 24(4). 3304–3304. 5 indexed citations
8.
Fox, Archa H., et al.. (2022). The Long and the Short of It: NEAT1 and Cancer Cell Metabolism. Cancers. 14(18). 4388–4388. 16 indexed citations
9.
Orang, Ayla, et al.. (2021). Integrative Transcriptomic Network Analysis of Butyrate Treated Colorectal Cancer Cells. Cancers. 13(4). 636–636. 15 indexed citations
10.
Baker, Robert A., et al.. (2018). Circulating and Urinary miR-210 and miR-16 Increase during Cardiac Surgery Using Cardiopulmonary Bypass – A Pilot Study. Journal of ExtraCorporeal Technology. 50(1). 19–29. 5 indexed citations
11.
Kichenadasse, Ganessan, Lisa M. Butler, Margaret M. Centenera, et al.. (2017). The Combination of Metformin and Valproic Acid Induces Synergistic Apoptosis in the Presence of p53 and Androgen Signaling in Prostate Cancer. Molecular Cancer Therapeutics. 16(12). 2689–2700. 27 indexed citations
12.
Michael, Michael, et al.. (2017). ANALISIS FATIGUE PADA SURFACE COURSE DENGAN PENDEKATAN DISSIPATED ENERGY. Matriks Teknik Sipil. 5(3). 1 indexed citations
13.
Michael, Michael, et al.. (2014). Contemporary surgical management of rectovaginal fistula in Crohn’s disease. 487–495. 4 indexed citations
14.
Michael, Michael, et al.. (2011). Relationships between native tree species and soil properties in the indigenous forest fragments of the Eastern Arc Mountains of the Taita Hills, Kenya. 13(3). 198–210. 1 indexed citations
15.
Michael, Michael, et al.. (2011). Impact of Decision- Operation Interval on Pregnancy Outcomes among Mothers Who Undergo Emergency Caesarean Section at Mulago Hospital. 8(9). 571–575. 2 indexed citations
16.
Michael, Michael, et al.. (2010). The VHL-dependent regulation of microRNAs in renal cancer. BMC Medicine. 8(1). 64–64. 144 indexed citations
17.
Kazenwadel, Jan, Michael Michael, & Natasha L. Harvey. (2010). Prox1 expression is negatively regulated by miR-181 in endothelial cells. Blood. 116(13). 2395–2401. 134 indexed citations
18.
Michael, Michael, et al.. (2010). Prevalence of diverticulosis in recurrent Clostridium difficile infection. 世界胃肠病学杂志:英文版(电子版). 345–347. 3 indexed citations
19.
Michael, Michael, et al.. (2010). Female mate choice and the potential for ornament evolution in túngara frogs Physalaemus pustulosus. 343–357. 1 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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