A. J. McKeirnan

29 total papers · 1.0k total citations
29 papers, 826 citations indexed

About

A. J. McKeirnan is a scholar working on Genetics, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, A. J. McKeirnan has authored 29 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 19 papers in Animal Science and Zoology and 15 papers in Infectious Diseases. Recurrent topics in A. J. McKeirnan's work include Virus-based gene therapy research (20 papers), Animal Virus Infections Studies (19 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). A. J. McKeirnan is often cited by papers focused on Virus-based gene therapy research (20 papers), Animal Virus Infections Studies (19 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). A. J. McKeirnan collaborates with scholars based in United States, India and United Kingdom. A. J. McKeirnan's co-authors include James F. Evermann, Richard L. Ott, J. F. Evermann, N. C. Pedersen, Jonathan L. Heeney, Niels C. Pedersen, John Boyle, John W. Black, Melody E. Roelke and Stephen J. O’Brien and has published in prestigious journals such as Journal of Virology, Advances in experimental medicine and biology and Veterinary Microbiology.

In The Last Decade

A. J. McKeirnan

29 papers receiving 765 citations

Author Peers

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

Author Last Decade Papers Cites
A. J. McKeirnan 543 541 468 137 95 29 826
J. F. Evermann 391 0.7× 426 0.8× 358 0.8× 192 1.4× 112 1.2× 35 726
W.S.K. Chalmers 293 0.5× 356 0.7× 396 0.8× 259 1.9× 89 0.9× 26 809
Győző L. Kaján 385 0.7× 390 0.7× 622 1.3× 131 1.0× 89 0.9× 32 884
E. W. Gray 388 0.7× 555 1.0× 194 0.4× 108 0.8× 58 0.6× 30 1.1k
Santino Prosperi 541 1.0× 558 1.0× 563 1.2× 219 1.6× 85 0.9× 58 988
Jacqueline Gelfi 486 0.9× 457 0.8× 357 0.8× 274 2.0× 56 0.6× 27 974
Theerapol Sirinarumitr 516 1.0× 685 1.3× 371 0.8× 66 0.5× 46 0.5× 50 995
Thais Fumaco Teixeira 369 0.7× 374 0.7× 174 0.4× 244 1.8× 105 1.1× 50 826
Eda Altan 357 0.7× 487 0.9× 239 0.5× 233 1.7× 98 1.0× 48 829
Roy V. H. Pollock 586 1.1× 539 1.0× 700 1.5× 184 1.3× 49 0.5× 29 914

Countries citing papers authored by A. J. McKeirnan

Since Specialization
Citations

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

Fields of papers citing papers by A. J. McKeirnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. McKeirnan

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