Malcolm J. Simons

25 total papers · 1.2k total citations
16 papers, 842 citations indexed

About

Malcolm J. Simons is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Malcolm J. Simons has authored 16 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Malcolm J. Simons's work include T-cell and B-cell Immunology (4 papers), Hepatitis B Virus Studies (3 papers) and Immune Cell Function and Interaction (3 papers). Malcolm J. Simons is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Hepatitis B Virus Studies (3 papers) and Immune Cell Function and Interaction (3 papers). Malcolm J. Simons collaborates with scholars based in United States, China and Australia. Malcolm J. Simons's co-authors include Su Mei Cao, Chao Qian, Robin Marks, Douglas F. Easton, Barbara McKnight, Guy de‐Thé, Yi Zeng, Laurent Degos, Nicholas Day and Virginia Lepage and has published in prestigious journals such as Nature, British Journal of Dermatology and The American Journal of the Medical Sciences.

In The Last Decade

Malcolm J. Simons

16 papers receiving 814 citations

Hit Papers

The prevalence and preven... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Malcolm J. Simons 323 270 229 195 172 16 842
G. B. Snow 338 1.0× 302 1.1× 285 1.2× 128 0.7× 196 1.1× 16 787
Laurie L. Herscher 389 1.2× 194 0.7× 273 1.2× 229 1.2× 147 0.9× 18 917
R Lilleng 420 1.3× 374 1.4× 252 1.1× 199 1.0× 290 1.7× 17 950
Françoise Drusch 543 1.7× 133 0.5× 215 0.9× 305 1.6× 113 0.7× 17 923
Ángela Ayén 167 0.5× 206 0.8× 303 1.3× 123 0.6× 170 1.0× 17 935
Gloria Chan 433 1.3× 196 0.7× 181 0.8× 296 1.5× 154 0.9× 24 821
Shaobo Zhu 323 1.0× 150 0.6× 315 1.4× 91 0.5× 179 1.0× 20 775
Anette Weber 491 1.5× 190 0.7× 371 1.6× 104 0.5× 252 1.5× 18 882
Mu-Kuan Chen 314 1.0× 139 0.5× 391 1.7× 234 1.2× 99 0.6× 24 821
Saara Kantola 369 1.1× 355 1.3× 220 1.0× 241 1.2× 178 1.0× 14 830

Countries citing papers authored by Malcolm J. Simons

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm J. Simons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm J. Simons. 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 Malcolm J. Simons. The network helps show where Malcolm J. Simons may publish in the future.

Co-authorship network of co-authors of Malcolm J. Simons

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. Simons. A scholar is included among the top collaborators of Malcolm J. Simons 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 Malcolm J. Simons. Malcolm J. Simons 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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