Michael B. Fernando

35 total papers · 1.0k total citations
11 papers, 346 citations indexed

About

Michael B. Fernando is a scholar working on Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael B. Fernando has authored 11 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael B. Fernando's work include CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Michael B. Fernando is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Michael B. Fernando collaborates with scholars based in United States, United Kingdom and France. Michael B. Fernando's co-authors include Kirk W. Reichard, Mark E. Peeples, Robert Walter, John A. Greager, Robert M. Lorence, Hernan M. Reyes, Kristen Brennand, Tim Ahfeldt, Judy A. Shea and Brady J. Maher and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Michael B. Fernando

11 papers receiving 333 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 B. Fernando 190 150 91 68 61 11 346
K L Phillips 109 0.6× 113 0.8× 28 0.3× 31 0.5× 48 0.8× 14 323
Aurélia Cassany 153 0.8× 215 1.4× 91 1.0× 22 0.3× 33 0.5× 11 354
Michael Seyffert 165 0.9× 172 1.1× 87 1.0× 54 0.8× 31 0.5× 13 297
B Taródi 165 0.9× 188 1.3× 116 1.3× 40 0.6× 103 1.7× 20 396
Laura Belot 92 0.5× 197 1.3× 60 0.7× 30 0.4× 30 0.5× 7 368
Peter K Benson 217 1.1× 190 1.3× 91 1.0× 25 0.4× 43 0.7× 6 352
Annasara Lenman 195 1.0× 145 1.0× 60 0.7× 23 0.3× 60 1.0× 17 392
Pei-Yu Chu 52 0.3× 127 0.8× 81 0.9× 26 0.4× 35 0.6× 11 335
A. T. Haase 95 0.5× 90 0.6× 121 1.3× 43 0.6× 42 0.7× 11 312
Jerel Vega 100 0.5× 286 1.9× 38 0.4× 24 0.4× 19 0.3× 10 396

Countries citing papers authored by Michael B. Fernando

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael B. Fernando

This figure shows the co-authorship network connecting the top 25 collaborators of Michael B. Fernando. A scholar is included among the top collaborators of Michael B. Fernando 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 B. Fernando. Michael B. Fernando 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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