J Makowski

14 total papers · 832 total citations
4 papers, 697 citations indexed

About

J Makowski is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J Makowski has authored 4 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Genetics and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J Makowski's work include Vector-Borne Animal Diseases (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and NF-κB Signaling Pathways (1 paper). J Makowski is often cited by papers focused on Vector-Borne Animal Diseases (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and NF-κB Signaling Pathways (1 paper). J Makowski collaborates with scholars based in United States. J Makowski's co-authors include Thomas M. Nicotera, Paresh Dandona, Kuldip Thusu, Donald Armstrong, Brina Snyder, Stuart A. Cook, John Brady, Paul F. Lindholm, Sirintorn Yibchok‐anun and Walter H. Hsu and has published in prestigious journals such as The Lancet, Journal of Virology and Metabolism.

In The Last Decade

J Makowski

4 papers receiving 653 citations

Hit Papers

Oxidative damage to DNA i... 1996 2026 2006 2016 1996 200 400 600

Author Peers

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

Author Last Decade Papers Cites
J Makowski 257 191 140 139 91 4 697
Tomoko Matsuo 253 1.0× 159 0.8× 130 0.9× 132 0.9× 92 1.0× 8 669
Shinsuke Kiritoshi 205 0.8× 159 0.8× 97 0.7× 124 0.9× 60 0.7× 6 573
Wim Verreth 165 0.6× 198 1.0× 153 1.1× 153 1.1× 154 1.7× 9 757
Cécile Ingueneau 278 1.1× 84 0.4× 67 0.5× 140 1.0× 86 0.9× 11 751
Gideon Lim 221 0.9× 172 0.9× 166 1.2× 230 1.7× 65 0.7× 12 739
C Sui 282 1.1× 120 0.6× 148 1.1× 246 1.8× 64 0.7× 4 709
Hong Yu 175 0.7× 69 0.4× 153 1.1× 94 0.7× 83 0.9× 11 606
R L Elam 137 0.5× 151 0.8× 303 2.2× 65 0.5× 259 2.8× 7 609
Elyse Di Marco 212 0.8× 144 0.8× 119 0.8× 284 2.0× 62 0.7× 9 778
J. Oiknine 179 0.7× 101 0.5× 132 0.9× 90 0.6× 218 2.4× 12 737

Countries citing papers authored by J Makowski

Since Specialization
Citations

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

Fields of papers citing papers by J Makowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Makowski

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