Michael R. Williams

60 total papers · 2.3k total citations
31 papers, 1.4k citations indexed

About

Michael R. Williams is a scholar working on Dermatology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Michael R. Williams has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Dermatology, 7 papers in Molecular Biology and 7 papers in Immunology and Allergy. Recurrent topics in Michael R. Williams's work include Dermatology and Skin Diseases (12 papers), Antimicrobial Peptides and Activities (5 papers) and Allergic Rhinitis and Sensitization (5 papers). Michael R. Williams is often cited by papers focused on Dermatology and Skin Diseases (12 papers), Antimicrobial Peptides and Activities (5 papers) and Allergic Rhinitis and Sensitization (5 papers). Michael R. Williams collaborates with scholars based in United States, Australia and United Kingdom. Michael R. Williams's co-authors include Richard L. Gallo, James Sanford, Teruaki Nakatsuji, Alexander R. Horswill, Oliver Rackham, Ling‐juan Zhang, Alan M. O’Neill, Laura Cau, Karsten Zengler and Lívia S. Zaramela and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and Scientific Reports.

In The Last Decade

Michael R. Williams

29 papers receiving 1.4k 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 R. Williams 791 339 304 259 175 31 1.4k
Veronika Mlitz 613 0.8× 625 1.8× 218 0.7× 310 1.2× 248 1.4× 46 1.8k
Xuan Li 1.1k 1.3× 153 0.5× 599 2.0× 614 2.4× 81 0.5× 53 1.6k
Masatoshi Nakazawa 132 0.2× 429 1.3× 95 0.3× 894 3.5× 254 1.5× 41 1.6k
Amminikutty Jeevan 282 0.4× 80 0.2× 144 0.5× 665 2.6× 213 1.2× 36 1.1k
Catharina Johansson 734 0.9× 264 0.8× 587 1.9× 394 1.5× 513 2.9× 46 1.6k
Ewa Lukomska 101 0.1× 313 0.9× 99 0.3× 118 0.5× 73 0.4× 54 1.4k
İsmail Öğülür 247 0.3× 169 0.5× 315 1.0× 280 1.1× 58 0.3× 48 1.1k
Lee K. Roberts 429 0.5× 186 0.5× 80 0.3× 503 1.9× 119 0.7× 47 1.4k
Horng-Der Shen 270 0.3× 165 0.5× 976 3.2× 131 0.5× 98 0.6× 56 1.6k
M Norval 712 0.9× 124 0.4× 60 0.2× 387 1.5× 144 0.8× 44 1.3k

Countries citing papers authored by Michael R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Williams

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