Maddy L. Newby

41 total papers · 818 total citations
19 papers, 362 citations indexed

About

Maddy L. Newby is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Maddy L. Newby has authored 19 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Maddy L. Newby's work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Maddy L. Newby is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Maddy L. Newby collaborates with scholars based in United Kingdom, United States and Netherlands. Maddy L. Newby's co-authors include Max Crispin, Joel D. Allen, Yasunori Watanabe, Himanshi Chawla, Adam F. Cunningham, Alex Richter, Andrew B. Ward, Siân E. Jossi, Sian Faustini and Elisa Fadda and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Maddy L. Newby

17 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Maddy L. Newby 221 107 87 68 51 19 362
Vanessa M. Cowton 154 0.7× 56 0.5× 97 1.1× 195 2.9× 59 1.2× 18 391
Sébastien Eymieux 209 0.9× 98 0.9× 42 0.5× 133 2.0× 9 0.2× 15 379
Hazel Stewart 102 0.5× 126 1.2× 45 0.5× 110 1.6× 13 0.3× 21 362
Andreas Berting 167 0.8× 133 1.2× 46 0.5× 109 1.6× 15 0.3× 16 393
Julien Marlet 247 1.1× 91 0.9× 25 0.3× 98 1.4× 21 0.4× 23 397
Alona Kuzmina 191 0.9× 133 1.2× 46 0.5× 28 0.4× 13 0.3× 17 310
Baojing Lu 178 0.8× 105 1.0× 76 0.9× 56 0.8× 16 0.3× 16 338
Hideyuki Kato 72 0.3× 102 1.0× 73 0.8× 162 2.4× 14 0.3× 17 390
Yimin Tong 119 0.5× 66 0.6× 62 0.7× 135 2.0× 42 0.8× 24 388
George Krashias 43 0.2× 98 0.9× 125 1.4× 91 1.3× 47 0.9× 25 327

Countries citing papers authored by Maddy L. Newby

Since Specialization
Citations

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

Fields of papers citing papers by Maddy L. Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maddy L. Newby. 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 Maddy L. Newby. The network helps show where Maddy L. Newby may publish in the future.

Co-authorship network of co-authors of Maddy L. Newby

This figure shows the co-authorship network connecting the top 25 collaborators of Maddy L. Newby. A scholar is included among the top collaborators of Maddy L. Newby 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 Maddy L. Newby. Maddy L. Newby 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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