Andrew Matteson

417 total citations
7 papers, 266 citations indexed

About

Andrew Matteson is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Andrew Matteson has authored 7 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Hematology. Recurrent topics in Andrew Matteson's work include Gene Regulatory Network Analysis (2 papers), Immune Cell Function and Interaction (2 papers) and Phagocytosis and Immune Regulation (1 paper). Andrew Matteson is often cited by papers focused on Gene Regulatory Network Analysis (2 papers), Immune Cell Function and Interaction (2 papers) and Phagocytosis and Immune Regulation (1 paper). Andrew Matteson collaborates with scholars based in United States and Germany. Andrew Matteson's co-authors include Marcel Schilling, Clemens Kreutz, Andreas Raue, Daniel Kaschek, Fabian J. Theis, Jens Timmer, Sabine Hug, Julie Bachmann, Brian D. Harms and Ursula Klingmüller and has published in prestigious journals such as PLoS ONE, Frontiers in Pharmacology and CPT Pharmacometrics & Systems Pharmacology.

In The Last Decade

Andrew Matteson

7 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Matteson United States	4	189	27	23	22	20	7	266
Marcus Rosenblatt Germany	9	160 0.8×	29 1.1×	21 0.9×	22 1.0×	32 1.6×	13	339
Helge Hass Germany	10	269 1.4×	37 1.4×	36 1.6×	37 1.7×	30 1.5×	11	403
Sabine Hug Germany	8	297 1.6×	25 0.9×	39 1.7×	34 1.5×	33 1.6×	10	448
Leonard Schmiester Germany	8	168 0.9×	15 0.6×	14 0.6×	30 1.4×	23 1.1×	12	231
Thomas Ligon Germany	7	219 1.2×	16 0.6×	58 2.5×	15 0.7×	12 0.6×	10	314
Lorenz Adlung Germany	8	243 1.3×	55 2.0×	47 2.0×	25 1.1×	12 0.6×	15	455
M. Ali Al-Radhawi United States	11	155 0.8×	25 0.9×	18 0.8×	19 0.9×	20 1.0×	32	262
Mukhtar Ullah Pakistan	11	395 2.1×	27 1.0×	60 2.6×	28 1.3×	18 0.9×	21	461
Martino Barenco United Kingdom	8	175 0.9×	21 0.8×	29 1.3×	11 0.5×	5 0.3×	12	272
Chiara Damiani Italy	12	322 1.7×	9 0.3×	33 1.4×	27 1.2×	14 0.7×	22	406

Countries citing papers authored by Andrew Matteson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Matteson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Matteson

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

All Works

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7 of 7 papers shown

1.

Head, Sarah A., Saheli Sarkar, Andrew Matteson, et al.. (2024). Comparison of dose selection based on target engagement versus inhibition of receptor–ligand interaction for checkpoint inhibitors. CPT Pharmacometrics & Systems Pharmacology. 13(6). 919–925. 1 indexed citations

2.

Matteson, Andrew, Marc Presler, John M. Burke, et al.. (2022). Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions. Frontiers in Pharmacology. 13. 864768–864768. 3 indexed citations

3.

Qiao, Wenlian, Lin Lin, Carissa L. Young, et al.. (2022). Quantitative systems pharmacology modeling provides insight into inter‐mouse variability of Anti‐CTLA4 response. CPT Pharmacometrics & Systems Pharmacology. 11(7). 880–893. 8 indexed citations

4.

Zheng, Bo, Karsten Peppel, David Hagen, et al.. (2021). A systems pharmacology model for gene therapy in sickle cell disease. CPT Pharmacometrics & Systems Pharmacology. 10(7). 696–708. 5 indexed citations

5.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Correction: Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(12). 22 indexed citations

6.

Raue, Andreas, Marcel Schilling, Julie Bachmann, et al.. (2013). Lessons Learned from Quantitative Dynamical Modeling in Systems Biology. PLoS ONE. 8(9). e74335–e74335. 226 indexed citations

7.

Matteson, Andrew. (2008). An enzyme kinetic model of blood island formation. Mathematical Medicine and Biology A Journal of the IMA. 25(3). 233–245. 1 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.

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