Matthew Makowski

28 total papers · 1.4k total citations
13 papers, 577 citations indexed

About

Matthew Makowski is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Matthew Makowski has authored 13 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Matthew Makowski's work include Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (3 papers) and Telomeres, Telomerase, and Senescence (2 papers). Matthew Makowski is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (3 papers) and Telomeres, Telomerase, and Senescence (2 papers). Matthew Makowski collaborates with scholars based in Netherlands, United States and United Kingdom. Matthew Makowski's co-authors include Michiel Vermeulen, Pascal W.T.C. Jansen, Susan L. Kloet, H. Irem Baymaz, Lisa van Voorthuijsen, Luciano Di Croce, Ino D. Karemaker, Esther Willems, Huib Ovaa and Arne H. Smits and has published in prestigious journals such as Nature Communications, Nature Genetics and Molecular Cell.

In The Last Decade

Matthew Makowski

13 papers receiving 574 citations

Author Peers

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

Author						Papers	Cites
Matthew Makowski	509	85	81	44	41	13	577
Jaime Bellatin	472 0.9×	76 0.9×	66 0.8×	23 0.5×	52 1.3×	12	646
Ketan Patel	454 0.9×	49 0.6×	49 0.6×	68 1.5×	32 0.8×	11	542
David‐Paul Minde	467 0.9×	55 0.6×	47 0.6×	31 0.7×	26 0.6×	16	582
Krithika Rajagopalan	414 0.8×	72 0.8×	58 0.7×	69 1.6×	49 1.2×	16	527
John J. Jordan	525 1.0×	53 0.6×	105 1.3×	31 0.7×	27 0.7×	15	614
Mårten Sundberg	358 0.7×	70 0.8×	122 1.5×	26 0.6×	84 2.0×	13	540
Helga Rübsamen	368 0.7×	83 1.0×	150 1.9×	57 1.3×	16 0.4×	17	526
Gigi C.G. Choi	536 1.1×	113 1.3×	81 1.0×	76 1.7×	19 0.5×	16	660
Heinz Fehlhammer	476 0.9×	67 0.8×	33 0.4×	54 1.2×	60 1.5×	9	636
Mona Trempe Norcum	471 0.9×	44 0.5×	63 0.8×	76 1.7×	16 0.4×	21	604

Countries citing papers authored by Matthew Makowski

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Makowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Makowski

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