Spyridon Makris

48 total papers · 1.4k total citations
18 papers, 954 citations indexed

About

Spyridon Makris is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Spyridon Makris has authored 18 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Spyridon Makris's work include Respiratory viral infections research (8 papers), Neonatal Respiratory Health Research (4 papers) and Immune Cell Function and Interaction (4 papers). Spyridon Makris is often cited by papers focused on Respiratory viral infections research (8 papers), Neonatal Respiratory Health Research (4 papers) and Immune Cell Function and Interaction (4 papers). Spyridon Makris collaborates with scholars based in United Kingdom, United States and Netherlands. Spyridon Makris's co-authors include Cecilia Johansson, Lydia Durant, Michelle T. Paulsen, Michelle Goritzka, Peter Openshaw, Fahima Kausar, Fiona J. Culley, Catherine Pereira, Agnieszka Jóźwik and Matthias Mack and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Spyridon Makris

18 papers receiving 942 citations

Author Peers

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

Author Last Decade Papers Cites
Spyridon Makris 516 455 259 246 121 18 954
Deepthi Kolli 624 1.2× 435 1.0× 339 1.3× 190 0.8× 166 1.4× 26 969
Philippa Hillyer 281 0.5× 392 0.9× 134 0.5× 113 0.5× 190 1.6× 18 820
Nancy A. Rebert 371 0.7× 341 0.7× 109 0.4× 142 0.6× 299 2.5× 19 901
Dennis M. Lindell 706 1.4× 562 1.2× 290 1.1× 296 1.2× 110 0.9× 23 1.2k
Michael B.A. Oldstone 412 0.8× 515 1.1× 274 1.1× 63 0.3× 231 1.9× 12 1.1k
Michaël V. Lukens 471 0.9× 312 0.7× 194 0.7× 220 0.9× 78 0.6× 24 797
Madelyn R. Schmidt 250 0.5× 491 1.1× 160 0.6× 109 0.4× 172 1.4× 24 987
Afam A. Okoye 271 0.5× 516 1.1× 270 1.0× 106 0.4× 129 1.1× 21 1.0k
Itay Shalev 141 0.3× 406 0.9× 144 0.6× 132 0.5× 88 0.7× 22 843
Rocky Lai 343 0.7× 695 1.5× 536 2.1× 118 0.5× 230 1.9× 30 1.1k

Countries citing papers authored by Spyridon Makris

Since Specialization
Citations

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

Fields of papers citing papers by Spyridon Makris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spyridon Makris. 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 Spyridon Makris. The network helps show where Spyridon Makris may publish in the future.

Co-authorship network of co-authors of Spyridon Makris

This figure shows the co-authorship network connecting the top 25 collaborators of Spyridon Makris. A scholar is included among the top collaborators of Spyridon Makris 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 Spyridon Makris. Spyridon Makris 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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