Matthew D. Jankowski

11 total papers · 735 total citations
5 papers, 560 citations indexed

About

Matthew D. Jankowski is a scholar working on Molecular Biology, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Matthew D. Jankowski has authored 5 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Control and Systems Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Matthew D. Jankowski's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (1 paper) and Software System Performance and Reliability (1 paper). Matthew D. Jankowski is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (1 paper) and Software System Performance and Reliability (1 paper). Matthew D. Jankowski collaborates with scholars based in United States and Switzerland. Matthew D. Jankowski's co-authors include Linda J. Broadbelt, Vassily Hatzimanikatis, Christopher S. Henry, Chunhui Li and Sean T. Allen and has published in prestigious journals such as Biophysical Journal, Chemical Engineering Science and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Matthew D. Jankowski

5 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew D. Jankowski 471 156 63 44 35 5 560
Sebastian Niedenführ 554 1.2× 129 0.8× 23 0.4× 28 0.6× 9 0.3× 12 668
J. Rankin SMALL 561 1.2× 82 0.5× 24 0.4× 11 0.3× 18 0.5× 15 648
Sef Heijnen 468 1.0× 193 1.2× 19 0.3× 6 0.1× 35 1.0× 11 666
Christine Reder 420 0.9× 28 0.2× 23 0.4× 13 0.3× 22 0.6× 11 556
Jonathan E. Schneeweis 243 0.5× 245 1.6× 7 0.1× 104 2.4× 9 0.3× 9 637
Naruemol Noisommit‐Rizzi 473 1.0× 92 0.6× 23 0.4× 10 0.2× 24 0.7× 5 530
Anupam Chowdhury 617 1.3× 288 1.8× 34 0.5× 12 0.3× 8 0.2× 14 655
Gérard Moine 298 0.6× 97 0.6× 12 0.2× 15 0.3× 11 0.3× 11 691
M. Grace Russell 153 0.3× 440 2.8× 42 0.7× 44 1.0× 16 0.5× 7 612
Lindsay M. Faunt 187 0.4× 28 0.2× 15 0.2× 12 0.3× 20 0.6× 6 626

Countries citing papers authored by Matthew D. Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Jankowski

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