Matthew R. Incha

30 total papers · 419 total citations
14 papers, 265 citations indexed

About

Matthew R. Incha is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Matthew R. Incha has authored 14 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Matthew R. Incha's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Matthew R. Incha is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Matthew R. Incha collaborates with scholars based in United States, Denmark and China. Matthew R. Incha's co-authors include Allison N. Pearson, Jay D. Keasling, Brian F. Pfleger, Matthias Schmidt, Jacquelyn M. Blake-Hedges, Adam M. Deutschbauer, Mitchell G. Thompson, Patrick M. Shih, Yuzhong Liu and Pablo Cruz‐Morales and has published in prestigious journals such as Applied and Environmental Microbiology, PLoS Computational Biology and Metabolic Engineering.

In The Last Decade

Matthew R. Incha

11 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Matthew R. Incha	222	96	49	24	18	14	265
Chae Won Kang	258 1.2×	125 1.3×	37 0.8×	31 1.3×	12 0.7×	11	326
Allison N. Pearson	214 1.0×	75 0.8×	45 0.9×	33 1.4×	19 1.1×	18	261
Felix Müller	241 1.1×	112 1.2×	56 1.1×	25 1.0×	16 0.9×	13	321
Qingzhuo Wang	243 1.1×	70 0.7×	70 1.4×	39 1.6×	10 0.6×	14	331
Sierra M. Brooks	171 0.8×	98 1.0×	15 0.3×	34 1.4×	20 1.1×	11	271
Yu‐Zhou Wang	249 1.1×	49 0.5×	28 0.6×	25 1.0×	9 0.5×	10	305
Cholpisit Kiattisewee	263 1.2×	60 0.6×	55 1.1×	19 0.8×	6 0.3×	17	312
Yang Li	158 0.7×	62 0.6×	16 0.3×	22 0.9×	18 1.0×	15	230
Argyro Tsipa	195 0.9×	43 0.4×	29 0.6×	23 1.0×	12 0.7×	18	295
Zhengqun Li	163 0.7×	71 0.7×	48 1.0×	51 2.1×	18 1.0×	18	278

Countries citing papers authored by Matthew R. Incha

Since Specialization

Citations

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

Fields of papers citing papers by Matthew R. Incha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Incha

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