Mitch Shambrook

22 total papers · 724 total citations
10 papers, 395 citations indexed

About

Mitch Shambrook is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Mitch Shambrook has authored 10 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Neurology. Recurrent topics in Mitch Shambrook's work include Extracellular vesicles in disease (5 papers), RNA Research and Splicing (3 papers) and MicroRNA in disease regulation (3 papers). Mitch Shambrook is often cited by papers focused on Extracellular vesicles in disease (5 papers), RNA Research and Splicing (3 papers) and MicroRNA in disease regulation (3 papers). Mitch Shambrook collaborates with scholars based in Australia, Germany and United States. Mitch Shambrook's co-authors include Andrew F. Hill, Lesley Cheng, Shayne A. Bellingham, Lorinda Turner, Camden Lo, Richard L. Ferrero, Natalie J. Bitto, David L. Steer, Georg Ramm and Maria Kaparakis‐Liaskos and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and BMC Genomics.

In The Last Decade

Mitch Shambrook

10 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
Mitch Shambrook 276 93 92 72 46 10 395
Inta Gribonika 177 0.6× 28 0.3× 64 0.7× 140 1.9× 45 1.0× 14 384
Martin Ng 260 0.9× 64 0.7× 44 0.5× 83 1.2× 37 0.8× 15 383
Shila Mortensen 136 0.5× 36 0.4× 63 0.7× 85 1.2× 68 1.5× 14 405
Sang Su Woo 243 0.9× 99 1.1× 27 0.3× 147 2.0× 33 0.7× 10 434
Kenneth A. Pidcock 161 0.6× 33 0.4× 47 0.5× 76 1.1× 50 1.1× 9 392
J. Whitescarver 192 0.7× 31 0.3× 41 0.4× 60 0.8× 48 1.0× 17 431
Toros Dincman 155 0.6× 55 0.6× 55 0.6× 32 0.4× 28 0.6× 17 363
William T. McQuilkin 181 0.7× 46 0.5× 44 0.5× 29 0.4× 50 1.1× 11 442
Daria Kharlampieva 221 0.8× 30 0.3× 69 0.8× 19 0.3× 21 0.5× 21 375
Kai Wang 311 1.1× 170 1.8× 64 0.7× 48 0.7× 41 0.9× 13 418

Countries citing papers authored by Mitch Shambrook

Since Specialization
Citations

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

Fields of papers citing papers by Mitch Shambrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitch Shambrook

This figure shows the co-authorship network connecting the top 25 collaborators of Mitch Shambrook. A scholar is included among the top collaborators of Mitch Shambrook 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 Mitch Shambrook. Mitch Shambrook 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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