Andrew Shearer

16 total papers · 537 total citations
16 papers, 425 citations indexed

About

Andrew Shearer is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrew Shearer has authored 16 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Immunology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrew Shearer's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Biofuel production and bioconversion (2 papers) and Multiple Sclerosis Research Studies (2 papers). Andrew Shearer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Biofuel production and bioconversion (2 papers) and Multiple Sclerosis Research Studies (2 papers). Andrew Shearer collaborates with scholars based in United States, Australia and Germany. Andrew Shearer's co-authors include Gregory P. Owens, Mark P. Burgoon, Alanna Ritchie, Jeffrey L. Bennett, Xiaoli Yu, Brent J. Shelton, David A. Hafler, Donald H. Gilden, Don Gilden and R. Anthony Williamson and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Annals of Neurology.

In The Last Decade

Andrew Shearer

15 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Andrew Shearer 170 130 81 73 70 16 425
H. K. M�ller-Hermelink 86 0.5× 166 1.3× 76 0.9× 78 1.1× 62 0.9× 17 473
Patrizia Pignoloni 105 0.6× 64 0.5× 69 0.9× 29 0.4× 49 0.7× 15 437
Lennard Ostendorf 46 0.3× 214 1.6× 72 0.9× 105 1.4× 63 0.9× 20 473
Pauline Close 223 1.3× 55 0.4× 68 0.8× 81 1.1× 127 1.8× 24 425
M. Eric Gershwin 102 0.6× 125 1.0× 48 0.6× 71 1.0× 35 0.5× 15 459
Ulrike Schmitz 54 0.3× 93 0.7× 248 3.1× 64 0.9× 36 0.5× 17 480
Yanping Hu 156 0.9× 205 1.6× 123 1.5× 54 0.7× 132 1.9× 18 481
Anna Maria Repice 345 2.0× 68 0.5× 76 0.9× 204 2.8× 92 1.3× 23 491
Parker Jw 193 1.1× 127 1.0× 43 0.5× 32 0.4× 104 1.5× 18 394
J. Clarke Stevens 164 1.0× 60 0.5× 58 0.7× 107 1.5× 62 0.9× 13 377

Countries citing papers authored by Andrew Shearer

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Shearer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Shearer

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