Michelle Watts

778 total citations
10 papers, 462 citations indexed

About

Michelle Watts is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Michelle Watts has authored 10 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Michelle Watts's work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (2 papers) and RNA modifications and cancer (1 paper). Michelle Watts is often cited by papers focused on MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (2 papers) and RNA modifications and cancer (1 paper). Michelle Watts collaborates with scholars based in Australia, United States and Sweden. Michelle Watts's co-authors include Charles Claudianos, Roger Pocock, Sarah Williams, Jess Nithianantharajah, Érika Pastrana, Johana Tello Velasquez, Janette Edson, Andrew Whitehouse, Mark A. Bellgrove and Ronald J. Quinn and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Michelle Watts

10 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Watts Australia	7	183	82	68	68	61	10	462
Xiaolei Zhu United States	14	180 1.0×	78 1.0×	52 0.8×	26 0.4×	43 0.7×	28	501
Samuel Greggio Brazil	17	196 1.1×	121 1.5×	100 1.5×	28 0.4×	56 0.9×	44	772
Man‐Fei Deng China	12	240 1.3×	81 1.0×	87 1.3×	20 0.3×	101 1.7×	13	544
Alfredo Bellon United States	15	257 1.4×	97 1.2×	39 0.6×	62 0.9×	26 0.4×	32	569
Paula Martínez Spain	12	295 1.6×	122 1.5×	132 1.9×	136 2.0×	66 1.1×	16	851
Zhi Hou China	9	137 0.7×	123 1.5×	55 0.8×	33 0.5×	18 0.3×	14	407
Reza Ahadi Iran	11	207 1.1×	103 1.3×	45 0.7×	19 0.3×	79 1.3×	35	667
Xiaobin Song China	11	139 0.8×	68 0.8×	26 0.4×	26 0.4×	66 1.1×	20	354
Zhao‐Lan Hu China	15	228 1.2×	145 1.8×	90 1.3×	36 0.5×	64 1.0×	29	789

Countries citing papers authored by Michelle Watts

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Watts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Watts

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

All Works

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10 of 10 papers shown

Watts, Michelle, et al.. (2023). Human LUHMES and NES cells as models for studying primary cilia in neurons. Methods in cell biology. 176. 27–41. 2 indexed citations

Becker, Martin, Danyang Li, Francesca Mastropasqua, et al.. (2023). Screening autism-associated environmental factors in differentiating human neural progenitors with fractional factorial design-based transcriptomics. Scientific Reports. 13(1). 10519–10519. 3 indexed citations

Watts, Michelle, et al.. (2023). Circular RNAs arising from synaptic host genes during human neuronal differentiation are modulated by SFPQ RNA-binding protein. BMC Biology. 21(1). 127–127. 12 indexed citations

William, Basem M., John Reneau, Amanda R. Campbell, et al.. (2021). A Pilot Phase I Trial of IL-21 Expanded Ideal-Donor Natural Killer (NK) Cells in Combination with Mogamulizumab in Patients with Cutaneous T-Cell Lymphomas (CTCL) or Adult T-Cell Leukemia/Lymphomas (ATLL). Blood. 138(Supplement 1). 1388–1388. 3 indexed citations

Lü, Jing, Yan Zhu, Sarah Williams, et al.. (2020). Autism-associated miR-873 regulates ARID1B, SHANK3 and NRXN2 involved in neurodevelopment. Translational Psychiatry. 10(1). 418–418. 17 indexed citations

Watts, Michelle, et al.. (2020). MicroRNA-210 Regulates Dendritic Morphology and Behavioural Flexibility in Mice. Molecular Neurobiology. 58(4). 1330–1344. 10 indexed citations

Watts, Michelle, Roger Pocock, & Charles Claudianos. (2018). Brain Energy and Oxygen Metabolism: Emerging Role in Normal Function and Disease. Frontiers in Molecular Neuroscience. 11. 216–216. 272 indexed citations

Williams, Sarah, Joon‐Yong An, Janette Edson, et al.. (2018). An integrative analysis of non-coding regulatory DNA variations associated with autism spectrum disorder. Molecular Psychiatry. 24(11). 1707–1719. 58 indexed citations

Watts, Michelle, Sarah Williams, Jess Nithianantharajah, & Charles Claudianos. (2018). Hypoxia-Induced MicroRNA-210 Targets Neurodegenerative Pathways. Non-Coding RNA. 4(2). 10–10. 24 indexed citations

10.

Velasquez, Johana Tello, Michelle Watts, Michael Todorovic, et al.. (2014). Low-Dose Curcumin Stimulates Proliferation, Migration and Phagocytic Activity of Olfactory Ensheathing Cells. PLoS ONE. 9(10). e111787–e111787. 61 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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