Michael Jackson

3.2k total citations
110 papers, 2.0k citations indexed

About

Michael Jackson is a scholar working on Computer Networks and Communications, Cellular and Molecular Neuroscience and Information Systems and Management. According to data from OpenAlex, Michael Jackson has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Cellular and Molecular Neuroscience and 15 papers in Information Systems and Management. Recurrent topics in Michael Jackson's work include Distributed and Parallel Computing Systems (15 papers), Scientific Computing and Data Management (15 papers) and Advanced Data Storage Technologies (12 papers). Michael Jackson is often cited by papers focused on Distributed and Parallel Computing Systems (15 papers), Scientific Computing and Data Management (15 papers) and Advanced Data Storage Technologies (12 papers). Michael Jackson collaborates with scholars based in United Kingdom, United States and South Africa. Michael Jackson's co-authors include Peter Jenner, Jerry D. Gardner, Lance A. Smith, R. K. B. Pearce, Sarah Rose, Yoshihisa Kuwana, Joji Nakamura, Hiroshi Kase, Tomoyuki Kanda and Joanne K. Kelleher and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Michael Jackson

102 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Jackson United Kingdom 20 628 621 405 297 229 110 2.0k
Daniel C. Marcus United States 44 623 1.0× 74 0.1× 2.6k 6.4× 61 0.2× 236 1.0× 114 5.8k
David T. Liu Austria 21 600 1.0× 67 0.1× 786 1.9× 204 0.7× 9 0.0× 91 2.3k
Kang‐Woo Lee South Korea 22 297 0.5× 341 0.5× 758 1.9× 197 0.7× 23 0.1× 111 2.1k
David Ko United States 20 154 0.2× 102 0.2× 153 0.4× 244 0.8× 10 0.0× 38 1.5k
Michael Bieber United States 21 75 0.1× 133 0.2× 399 1.0× 110 0.4× 24 0.1× 80 1.5k
Yuan Tian United States 19 480 0.8× 63 0.1× 1.8k 4.4× 223 0.8× 24 0.1× 58 3.6k
Sai Peck Lee Malaysia 32 240 0.4× 26 0.0× 652 1.6× 551 1.9× 23 0.1× 169 3.2k
Faraz Faghri United States 15 61 0.1× 202 0.3× 810 2.0× 163 0.5× 11 0.0× 27 1.8k
Kevin J. Lynch United States 20 256 0.4× 33 0.1× 565 1.4× 39 0.1× 845 3.7× 57 2.3k

Countries citing papers authored by Michael Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Jackson. A scholar is included among the top collaborators of Michael Jackson 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 Jackson. Michael Jackson 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.
Jackson, Michael, Amanda Mok, Junchen Liu, et al.. (2022). riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow. Bioinformatics. 38(8). 2358–2360. 4 indexed citations
2.
Jackson, Michael, Kostas Kavoussanakis, & Edward W. Wallace. (2021). Using prototyping to choose a bioinformatics workflow management system. PLoS Computational Biology. 17(2). e1008622–e1008622. 15 indexed citations
3.
Jackson, Michael, et al.. (2020). The Balance of Theory, Simulation, and Projects for Mechanical Component Design Course. Papers on Engineering Education Repository (American Society for Engineering Education). 24.1189.1–24.1189.16. 5 indexed citations
4.
Mann, Elizabeth H., et al.. (2020). Antiparkinsonian Effects of a Metabotropic Glutamate Receptor 4 Agonist in MPTP-Treated Marmosets. Journal of Parkinson s Disease. 10(3). 959–967. 7 indexed citations
5.
Jackson, Michael. (2019). Critique of Identity Thinking. Berghahn Books. 6 indexed citations
6.
Leibovici, Didier, et al.. (2011). Dynamical Surveying Adjustments for Crowd-sourced Data Observations.. EnviroInfo. 510–520. 2 indexed citations
7.
Johnston, Louisa C., Michael Jackson, Sarah Rose, Andrew C. McCreary, & Peter Jenner. (2010). Pardoprunox reverses motor deficits but induces only mild dyskinesia in MPTP‐treated common marmosets. Movement Disorders. 25(13). 2059–2066. 16 indexed citations
8.
Jackson, Michael. (2009). British Counter-Insurgency. Journal of Strategic Studies. 32(3). 347–351. 11 indexed citations
9.
Zeng, Bai‐Yun, et al.. (2009). Expression of catechol-O-methyltransferase in the brain and periphery of normal and MPTP-treated common marmosets. Journal of Neural Transmission. 117(1). 45–51. 5 indexed citations
10.
Iravani, Mahmoud M., Masahiro Irifune, Mikko Kuoppamäki, et al.. (2006). MPTP treatment of common marmosets impairs proteasomal enzyme activity and decreases expression of structural and regulatory elements of the 26S proteasome. European Journal of Neuroscience. 23(7). 1766–1774. 32 indexed citations
11.
Millan, Mark J., Benjamin Di Cara, Michael P. Hill, et al.. (2004). S32504, a Novel Naphtoxazine Agonist at Dopamine D3/D2 Receptors: II. Actions in Rodent, Primate, and Cellular Models of Antiparkinsonian Activity in Comparison to Ropinirole. Journal of Pharmacology and Experimental Therapeutics. 309(3). 921–935. 42 indexed citations
12.
Jackson, Michael, Mario Antonioletti, Neil Chue Hong, et al.. (2004). Performance Analysis of the OGSA-DAI Software. 13 indexed citations
13.
Smith, L. A., Michael Jackson, Ghassan Al‐Barghouthy, et al.. (2004). Multiple small doses of levodopa plus entacapone produce continuous dopaminergic stimulation and reduce dyskinesia induction in MPTP‐treated drug‐naïve primates. Movement Disorders. 20(3). 306–314. 87 indexed citations
14.
15.
Jackson, Michael, et al.. (2000). The effects of central aromatic amino acid DOPA decarboxylase inhibition on the motor actions of L‐DOPA and dopamine agonists in MPTP‐treated primates. British Journal of Pharmacology. 129(7). 1355–1364. 18 indexed citations
16.
Jackson, Michael, et al.. (1998). The Multiple Loves of the Successful Teacher: A Deweyan Perspective.. Educational foundations. 12(1). 75–82. 2 indexed citations
17.
Kanda, Tomoyuki, Michael Jackson, Lance A. Smith, et al.. (1998). Adenosine A2A Antagonist: A novel antiparkinsonian agent that does not provoke dyskinesia in Parkinsonian monkeys. Annals of Neurology. 43(4). 507–513. 279 indexed citations
18.
Jackson, Michael, et al.. (1996). Coping with Stress: Common Sense about Teacher Burnout.. Education Canada. 36(2). 28. 18 indexed citations
19.
Jackson, Michael. (1982). Software Development as an Engineering Problem.. 24. 96–103.
20.
Jackson, Michael & John Ingle. (1973). The Interpretation of Studies on Rapidly Labeled Ribonucleic Acid in Higher Plants. PLANT PHYSIOLOGY. 51(2). 412–414. 18 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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