Michael J. Neal

59 total papers · 1.8k total citations
46 papers, 1.5k citations indexed

About

Michael J. Neal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Michael J. Neal has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 6 papers in Oncology. Recurrent topics in Michael J. Neal's work include Retinal Development and Disorders (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Clusterin in disease pathology (6 papers). Michael J. Neal is often cited by papers focused on Retinal Development and Disorders (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Clusterin in disease pathology (6 papers). Michael J. Neal collaborates with scholars based in United Kingdom, United States and Canada. Michael J. Neal's co-authors include Jo R. Cunningham, Stephen E. Jones, Catherine Jomary, Ralph Devere White, Norman G. Bowery, Paul J. Kenny, Peter H. Hutson, Joanne E. Hogg, Sandra E. File and Stephen Yazulla and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Brain Research.

In The Last Decade

Michael J. Neal

44 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael J. Neal 899 741 165 147 123 46 1.5k
Bóglárka Rácz 912 1.0× 885 1.2× 105 0.6× 141 1.0× 171 1.4× 65 1.7k
P. Guarneri 542 0.6× 500 0.7× 127 0.8× 173 1.2× 50 0.4× 38 1.3k
Vladimir M. Milenkovic 982 1.1× 487 0.7× 179 1.1× 182 1.2× 89 0.7× 65 1.6k
Ilaria Piano 642 0.7× 318 0.4× 210 1.3× 125 0.9× 49 0.4× 46 1.2k
Mark L. Weber 558 0.6× 514 0.7× 91 0.6× 240 1.6× 52 0.4× 30 1.2k
Karen Kage 905 1.0× 558 0.8× 103 0.6× 288 2.0× 35 0.3× 22 1.6k
Venkateswar Venkataraman 928 1.0× 519 0.7× 92 0.6× 511 3.5× 59 0.5× 35 1.5k
Caterina Cascio 549 0.6× 379 0.5× 120 0.7× 171 1.2× 58 0.5× 29 1.2k
Zelda H. Cheung 693 0.8× 543 0.7× 44 0.3× 246 1.7× 211 1.7× 23 1.5k
Laura Contreras 1.2k 1.3× 512 0.7× 124 0.8× 355 2.4× 31 0.3× 37 1.7k

Countries citing papers authored by Michael J. Neal

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Neal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Neal

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

All Works

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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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