Michael D. Nailor

83 total papers · 1.3k total citations
61 papers, 944 citations indexed

About

Michael D. Nailor is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Michael D. Nailor has authored 61 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 25 papers in Infectious Diseases and 13 papers in Molecular Medicine. Recurrent topics in Michael D. Nailor's work include Antibiotic Resistance in Bacteria (13 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Antifungal resistance and susceptibility (11 papers). Michael D. Nailor is often cited by papers focused on Antibiotic Resistance in Bacteria (13 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Antifungal resistance and susceptibility (11 papers). Michael D. Nailor collaborates with scholars based in United States, Saudi Arabia and Belgium. Michael D. Nailor's co-authors include Kellie J. Goodlet, David P. Nicolau, Jack D. Sobel, Joseph L. Kuti, Sofya Tokman, Natalie K. Boyd, Sunwen Chou, Jaber Aslanzadeh, Spencer T. Martin and Emily L. Heil and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Critical Care Medicine.

In The Last Decade

Michael D. Nailor

60 papers receiving 919 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 D. Nailor 482 245 231 188 177 61 944
B. Pilmis 492 1.0× 335 1.4× 318 1.4× 153 0.8× 153 0.9× 84 1.1k
Béatrice Grabein 425 0.9× 253 1.0× 260 1.1× 121 0.6× 261 1.5× 42 917
Daniel Curcio 422 0.9× 263 1.1× 227 1.0× 123 0.7× 158 0.9× 50 848
Sercan Ulusoy 629 1.3× 239 1.0× 358 1.5× 149 0.8× 137 0.8× 74 1.2k
Marinês Dalla Valle Martino 367 0.8× 236 1.0× 282 1.2× 205 1.1× 121 0.7× 55 868
Renato Pascale 281 0.6× 201 0.8× 329 1.4× 227 1.2× 235 1.3× 60 834
Kalvin Yu 422 0.9× 253 1.0× 219 0.9× 335 1.8× 96 0.5× 72 955
Aurora Pop‐Vicas 479 1.0× 258 1.1× 279 1.2× 195 1.0× 82 0.5× 42 982
Hyun Kyun Ki 481 1.0× 242 1.0× 341 1.5× 160 0.9× 116 0.7× 45 998
Hae Suk Cheong 428 0.9× 287 1.2× 349 1.5× 139 0.7× 113 0.6× 52 1.0k

Countries citing papers authored by Michael D. Nailor

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Nailor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Nailor

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