Matthew Skalak

10 total papers · 913 total citations
6 papers, 696 citations indexed

About

Matthew Skalak is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Matthew Skalak has authored 6 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Materials Chemistry. Recurrent topics in Matthew Skalak's work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (3 papers) and Graphene and Nanomaterials Applications (3 papers). Matthew Skalak is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (3 papers) and Graphene and Nanomaterials Applications (3 papers). Matthew Skalak collaborates with scholars based in United States, Italy and South Korea. Matthew Skalak's co-authors include Sangeeta N. Bhatia, Ester J. Kwon, Jeff Hasty, Tal Danino, Gabriel A. Kwong, Howard Li, Arthur Prindle, Kaitlin Allen, Erkki Ruoslahti and Michael J. Sailor and has published in prestigious journals such as Advanced Materials, ACS Nano and Science Translational Medicine.

In The Last Decade

Matthew Skalak

6 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Matthew Skalak	360	293	140	131	81	6	696
Mohamad H. Abedi	280 0.8×	438 1.5×	63 0.5×	193 1.5×	84 1.0×	11	747
Hans Orth	384 1.1×	66 0.2×	73 0.5×	120 0.9×	30 0.4×	6	647
Jie Niu	359 1.0×	198 0.7×	71 0.5×	50 0.4×	38 0.5×	18	784
Babak Mostaghaci	129 0.4×	427 1.5×	44 0.3×	144 1.1×	65 0.8×	11	634
Lise Schoonen	397 1.1×	126 0.4×	144 1.0×	34 0.3×	168 2.1×	17	741
Allen A. Cheng	371 1.0×	145 0.5×	50 0.4×	24 0.2×	25 0.3×	6	673
María Eugenia Inda	346 1.0×	221 0.8×	29 0.2×	28 0.2×	63 0.8×	17	701
Hassan Pezeshgi Modarres	241 0.7×	211 0.7×	44 0.3×	42 0.3×	33 0.4×	15	563
Kevin Dyer	395 1.1×	67 0.2×	162 1.2×	54 0.4×	52 0.6×	10	597
Zhongmin Geng	236 0.7×	439 1.5×	169 1.2×	131 1.0×	55 0.7×	20	741

Countries citing papers authored by Matthew Skalak

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Skalak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Skalak

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