Matthew Studham

535 total citations
13 papers, 250 citations indexed

About

Matthew Studham is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Matthew Studham has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Insect Science and 5 papers in Plant Science. Recurrent topics in Matthew Studham's work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and Insect-Plant Interactions and Control (4 papers). Matthew Studham is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and Insect-Plant Interactions and Control (4 papers). Matthew Studham collaborates with scholars based in United States, Sweden and Germany. Matthew Studham's co-authors include Gustavo C. MacIntosh, Andreas Tjärnberg, Torbjörn E. M. Nordling, Erik L. L. Sonnhammer, Sven Nelander, Nik Kovinich, Young‐Jin Lee, Gregory L. Tylka, Scott Spangler and Sonja Hatz and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Matthew Studham

13 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Studham United States 9 122 110 107 33 10 13 250
Niels Denkert Germany 5 216 1.8× 71 0.6× 42 0.4× 14 0.4× 11 1.1× 6 307
James Bancroft United Kingdom 8 246 2.0× 172 1.6× 18 0.2× 22 0.7× 8 0.8× 16 336
Yuanchun Wang United States 8 189 1.5× 197 1.8× 66 0.6× 4 0.1× 7 0.7× 14 274
Jonas De Kesel Belgium 5 107 0.9× 173 1.6× 15 0.1× 11 0.3× 6 0.6× 7 268
Nicola J. White United States 7 67 0.5× 30 0.3× 24 0.2× 32 1.0× 7 0.7× 8 162
Duong Doan Vietnam 6 306 2.5× 252 2.3× 46 0.4× 4 0.1× 4 0.4× 6 363
Hang Su China 9 197 1.6× 228 2.1× 25 0.2× 6 0.2× 6 0.6× 14 336
Hua Han China 6 369 3.0× 229 2.1× 102 1.0× 5 0.2× 13 1.3× 8 413
Jessica Upson United Kingdom 4 55 0.5× 229 2.1× 18 0.2× 10 0.3× 9 0.9× 4 252
Federica Mantica Spain 8 199 1.6× 92 0.8× 12 0.1× 16 0.5× 9 0.9× 13 247

Countries citing papers authored by Matthew Studham

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Studham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Studham

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Studham. A scholar is included among the top collaborators of Matthew Studham 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 Studham. Matthew Studham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Schmidt, Angelika, M D Coughlin, Michelle D. Catalina, et al.. (2025). Toll-like receptor 8 activation induces a neutrophil inflammatory phenotype: therapeutic implications for the utility of toll-like receptor 8 inhibition. Journal of Leukocyte Biology. 117(5). 1 indexed citations
2.
3.
Studham, Matthew, Andreas Tjärnberg, Holger Weishaupt, et al.. (2020). Perturbation-based gene regulatory network inference to unravel oncogenic mechanisms. Scientific Reports. 10(1). 14149–14149. 7 indexed citations
4.
Hatz, Sonja, Scott Spangler, Andrew T. Bender, et al.. (2019). Identification of pharmacodynamic biomarker hypotheses through literature analysis with IBM Watson. PLoS ONE. 14(4). e0214619–e0214619. 8 indexed citations
5.
Studham, Matthew, et al.. (2019). Transcriptional and Chemical Changes in Soybean Leaves in Response to Long-Term Aphid Colonization. Frontiers in Plant Science. 10. 310–310. 44 indexed citations
6.
Tjärnberg, Andreas, et al.. (2017). GeneSPIDER – gene regulatory network inference benchmarking with controlled network and data properties. Molecular BioSystems. 13(7). 1304–1312. 16 indexed citations
7.
Studham, Matthew, et al.. (2017). Validation of a hairy roots system to study soybean-soybean aphid interactions. PLoS ONE. 12(3). e0174914–e0174914. 8 indexed citations
8.
Tjärnberg, Andreas, Torbjörn E. M. Nordling, Matthew Studham, Sven Nelander, & Erik L. L. Sonnhammer. (2014). Avoiding pitfalls in L1-regularised inference of gene networks. Molecular BioSystems. 11(1). 287–296. 15 indexed citations
9.
Studham, Matthew, Andreas Tjärnberg, Torbjörn E. M. Nordling, Sven Nelander, & Erik L. L. Sonnhammer. (2014). Functional association networks as priors for gene regulatory network inference. Bioinformatics. 30(12). i130–i138. 27 indexed citations
10.
Tjärnberg, Andreas, Torbjörn E. M. Nordling, Matthew Studham, & Erik L. L. Sonnhammer. (2013). Optimal Sparsity Criteria for Network Inference. Journal of Computational Biology. 20(5). 398–408. 15 indexed citations
11.
Studham, Matthew & Gustavo C. MacIntosh. (2012). Phytohormone signaling pathway analysis method for comparing hormone responses in plant-pest interactions. BMC Research Notes. 5(1). 392–392. 18 indexed citations
12.
Studham, Matthew & Gustavo C. MacIntosh. (2012). Multiple Phytohormone Signals Control the Transcriptional Response to Soybean Aphid Infestation in Susceptible and Resistant Soybean Plants. Molecular Plant-Microbe Interactions. 26(1). 116–129. 82 indexed citations
13.
Studham, Matthew, et al.. (2009). The Soybean Resistance Gene Rag1 Does Not Protect Against Soybean Cyst and Root-knot Nematodes. Plant Health Progress. 10(1). 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Niels Denkert Breakdown of academic impact, for papers by James Bancroft Breakdown of academic impact, for papers by Yuanchun Wang Breakdown of academic impact, for papers by Jonas De Kesel Breakdown of academic impact, for papers by Nicola J. White Breakdown of academic impact, for papers by Duong Doan Breakdown of academic impact, for papers by Hang Su Breakdown of academic impact, for papers by Hua Han Breakdown of academic impact, for papers by Jessica Upson Breakdown of academic impact, for papers by Federica Mantica
Rankless by CCL
2026