Michael G. Astudillo

28 total papers · 3.1k total citations
11 papers, 593 citations indexed

About

Michael G. Astudillo is a scholar working on Infectious Diseases, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Michael G. Astudillo has authored 11 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Michael G. Astudillo's work include SARS-CoV-2 and COVID-19 Research (5 papers), Biosensors and Analytical Detection (3 papers) and SARS-CoV-2 detection and testing (3 papers). Michael G. Astudillo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Biosensors and Analytical Detection (3 papers) and SARS-CoV-2 detection and testing (3 papers). Michael G. Astudillo collaborates with scholars based in United States. Michael G. Astudillo's co-authors include Jochen K. Lennerz, A. John Iafrate, Mandakolathur R. Murali, John A. Branda, Anand S. Dighe, Diane Yang, Tyler E. Miller, Wilfredo F. García-Beltrán, Blake M. Hauser and Galit Alter and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Cell stem cell.

In The Last Decade

Michael G. Astudillo

11 papers receiving 587 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 G. Astudillo 466 142 96 55 52 11 593
Catherine Huntley 510 1.1× 66 0.5× 94 1.0× 61 1.1× 33 0.6× 12 614
Zhong‐Tao Xin 558 1.2× 108 0.8× 111 1.2× 103 1.9× 18 0.3× 8 657
Samuel Rigby 510 1.1× 50 0.4× 94 1.0× 58 1.1× 32 0.6× 9 581
Guha Asthagiri Arunkumar 463 1.0× 88 0.6× 41 0.4× 136 2.5× 48 0.9× 12 666
Qingqing Lin 489 1.0× 90 0.6× 142 1.5× 91 1.7× 14 0.3× 11 581
Kanika Vanshylla 461 1.0× 118 0.8× 38 0.4× 132 2.4× 32 0.6× 19 599
Rhys Pryce 513 1.1× 135 1.0× 68 0.7× 87 1.6× 13 0.3× 11 693
Pauliina Rumm 441 0.9× 62 0.4× 61 0.6× 91 1.7× 17 0.3× 7 523
Andrea Canitano 280 0.6× 231 1.6× 36 0.4× 84 1.5× 19 0.4× 18 565
William Bermingham 535 1.1× 51 0.4× 98 1.0× 60 1.1× 31 0.6× 11 621

Countries citing papers authored by Michael G. Astudillo

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Astudillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. Astudillo

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