Michael F. Wells

26 total papers · 3.5k total citations
15 papers, 2.3k citations indexed

About

Michael F. Wells is a scholar working on Cognitive Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Michael F. Wells has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Michael F. Wells's work include Autism Spectrum Disorder Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Mosquito-borne diseases and control (3 papers). Michael F. Wells is often cited by papers focused on Autism Spectrum Disorder Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Mosquito-borne diseases and control (3 papers). Michael F. Wells collaborates with scholars based in United States, China and Switzerland. Michael F. Wells's co-authors include Guoping Feng, Zhanyan Fu, Jonathan T. Ting, João Peça, Christopher D. Lascola, Cátia Feliciano, Wenting Wang, Talaignair N. Venkatraman, Kevin Eggan and Lukas Ian Schmitt and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Michael F. Wells

14 papers receiving 2.3k citations

Hit Papers

Shank3 mutant mice displa... 2011 2026 2016 2021 2011 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Michael F. Wells 1.0k 960 935 613 170 15 2.3k
Helen S. Bateup 616 0.6× 572 0.6× 1.7k 1.8× 1.2k 1.9× 171 1.0× 42 3.1k
Kimberly Ritola 643 0.6× 280 0.3× 814 0.9× 841 1.4× 153 0.9× 27 3.1k
Andrea Beckel‐Mitchener 1.4k 1.3× 1.0k 1.1× 986 1.1× 314 0.5× 80 0.5× 20 2.6k
Wei‐Li Wu 241 0.2× 896 0.9× 1.9k 2.0× 503 0.8× 97 0.6× 20 3.1k
Bin Yang 297 0.3× 775 0.8× 1.4k 1.5× 641 1.0× 186 1.1× 22 2.9k
Éric Lemonnier 1.5k 1.4× 1.1k 1.2× 593 0.6× 590 1.0× 80 0.5× 56 2.5k
Irina Voineagu 992 0.9× 1.3k 1.4× 2.3k 2.5× 440 0.7× 143 0.8× 34 3.3k
Dirk Schubert 1.1k 1.1× 287 0.3× 697 0.7× 1.2k 2.0× 88 0.5× 69 2.6k
Yeong Shin Yim 587 0.6× 253 0.3× 633 0.7× 598 1.0× 84 0.5× 21 2.8k
Sara M. Lindsay 762 0.7× 258 0.3× 997 1.1× 929 1.5× 203 1.2× 37 2.7k

Countries citing papers authored by Michael F. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael F. Wells

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