Matthew Zajac

21 total papers · 466 total citations
9 papers, 365 citations indexed

About

Matthew Zajac is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Matthew Zajac has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Matthew Zajac's work include Calcium signaling and nucleotide metabolism (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA Interference and Gene Delivery (2 papers). Matthew Zajac is often cited by papers focused on Calcium signaling and nucleotide metabolism (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA Interference and Gene Delivery (2 papers). Matthew Zajac collaborates with scholars based in United States, India and Canada. Matthew Zajac's co-authors include Yamuna Krishnan, Thomas A. Dineen, Andrew G. Myers, Anand Saminathan, Palapuravan Anees, Kasturi Chakraborty, Chang Cui, Lev Becker, Sonali Saha and Zhaozhu Qiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Cell Science.

In The Last Decade

Matthew Zajac

9 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Matthew Zajac	248	145	58	56	31	9	365
Patrick Seelheim	177 0.7×	60 0.4×	39 0.7×	76 1.4×	13 0.4×	13	308
Philipp Anstaett	117 0.5×	132 0.9×	45 0.8×	96 1.7×	98 3.2×	9	361
Dagobert Glanz	182 0.7×	61 0.4×	17 0.3×	36 0.6×	23 0.7×	20	361
Patrick Hubert	166 0.7×	52 0.4×	8 0.1×	26 0.5×	20 0.6×	16	369
Mikhail Khodorkovskiy	120 0.5×	101 0.7×	42 0.7×	35 0.6×	91 2.9×	15	403
Anton Shuster	209 0.8×	89 0.6×	9 0.2×	16 0.3×	37 1.2×	11	295
John J. Naleway	176 0.7×	118 0.8×	7 0.1×	62 1.1×	61 2.0×	14	376
Joshua D. Seitz	147 0.6×	132 0.9×	18 0.3×	53 0.9×	39 1.3×	11	356
Rocío Cejudo-Marín	194 0.8×	42 0.3×	31 0.5×	24 0.4×	21 0.7×	12	327
Miao Zhong	216 0.9×	44 0.3×	7 0.1×	45 0.8×	40 1.3×	20	375

Countries citing papers authored by Matthew Zajac

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Zajac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Zajac

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