Maria A. Kiskowski

1.3k total citations
19 papers, 804 citations indexed

About

Maria A. Kiskowski is a scholar working on Molecular Biology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Maria A. Kiskowski has authored 19 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Modeling and Simulation and 3 papers in Infectious Diseases. Recurrent topics in Maria A. Kiskowski's work include Developmental Biology and Gene Regulation (4 papers), COVID-19 epidemiological studies (3 papers) and Mathematical Biology Tumor Growth (3 papers). Maria A. Kiskowski is often cited by papers focused on Developmental Biology and Gene Regulation (4 papers), COVID-19 epidemiological studies (3 papers) and Mathematical Biology Tumor Growth (3 papers). Maria A. Kiskowski collaborates with scholars based in United States, United Kingdom and France. Maria A. Kiskowski's co-authors include Anne K. Kenworthy, John F. Hancock, Emmanuel Farge, Lilianna Solnica‐Krezel, Chunyue Yin, Mark Alber, Yi Jiang, Lila Solnica‐Krezel, Diane S. Sepich and Gerardo Chowell and has published in prestigious journals such as Physical Review Letters, The Journal of Cell Biology and Nature Methods.

In The Last Decade

Maria A. Kiskowski

19 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria A. Kiskowski United States	14	466	237	109	90	84	19	804
Philip J. Murray United Kingdom	15	450 1.0×	294 1.2×	125 1.1×	16 0.2×	107 1.3×	24	952
Inbal Hecht Israel	13	176 0.4×	226 1.0×	38 0.3×	57 0.6×	76 0.9×	19	533
Wing-Cheong Lo Hong Kong	13	405 0.9×	184 0.8×	99 0.9×	23 0.3×	40 0.5×	42	624
Judy L. Cannon United States	21	426 0.9×	241 1.0×	27 0.2×	44 0.5×	61 0.7×	46	1.6k
Raphaël Gaudin France	20	471 1.0×	313 1.3×	15 0.1×	71 0.8×	98 1.2×	43	1.2k
Nilah Monnier United States	11	527 1.1×	258 1.1×	17 0.2×	154 1.7×	43 0.5×	16	822
Melpomeni Platani United Kingdom	16	1.1k 2.4×	345 1.5×	35 0.3×	112 1.2×	42 0.5×	26	1.3k
Natalie Andrew United States	9	194 0.4×	313 1.3×	24 0.2×	43 0.5×	180 2.1×	10	619
Jean-François Rupprecht France	18	299 0.6×	474 2.0×	24 0.2×	60 0.7×	300 3.6×	30	886
Daniela Holzer Germany	10	241 0.5×	247 1.0×	16 0.1×	24 0.3×	113 1.3×	14	604

Countries citing papers authored by Maria A. Kiskowski

Since Specialization

Citations

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

Fields of papers citing papers by Maria A. Kiskowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Kiskowski. 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 Maria A. Kiskowski. The network helps show where Maria A. Kiskowski may publish in the future.

Co-authorship network of co-authors of Maria A. Kiskowski

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

All Works

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19 of 19 papers shown

Glimm, Tilmann, et al.. (2025). New approaches for capturing and estimating variation in complex animal color patterns from digital photographs: application to the Eastern Box Turtle (Terrapene carolina). PeerJ. 13. e19690–e19690. 1 indexed citations

Wilkinson, Anna, Julien Claude, Maria A. Kiskowski, et al.. (2022). Does colour impact responses to images in geckos?. Journal of Zoology. 317(2). 138–146. 5 indexed citations

Glimm, Tilmann, et al.. (2021). Capturing and analyzing pattern diversity: an example using the melanistic spotted patterns of leopard geckos. PeerJ. 9. e11829–e11829. 6 indexed citations

Kiskowski, Maria A., et al.. (2019). Isolating and quantifying the role of developmental noise in generating phenotypic variation. PLoS Computational Biology. 15(4). e1006943–e1006943. 14 indexed citations

Chowell, Gerardo, Amna Tariq, & Maria A. Kiskowski. (2019). Vaccination strategies to control Ebola epidemics in the context of variable household inaccessibility levels. PLoS neglected tropical diseases. 13(11). e0007814–e0007814. 16 indexed citations

Kiskowski, Maria A. & Gerardo Chowell. (2015). Modeling household and community transmission of Ebola virus disease: Epidemic growth, spatial dynamics and insights for epidemic control. Virulence. 7(2). 163–173. 28 indexed citations

Mathiasen, Signe, Sune M. Christensen, Juan José Fung, et al.. (2014). Nanoscale high-content analysis using compositional heterogeneities of single proteoliposomes. Nature Methods. 11(9). 931–934. 58 indexed citations

Kiskowski, Maria A.. (2014). A Three-Scale Network Model for the Early Growth Dynamics of 2014 West Africa Ebola Epidemic. PLoS Currents. 6. 33 indexed citations

Glimm, Tilmann, Denis J. Headon, & Maria A. Kiskowski. (2012). Computational and mathematical models of chondrogenesis in vertebrate limbs. Birth Defects Research Part C Embryo Today Reviews. 96(2). 176–192. 13 indexed citations

10.

Kiskowski, Maria A., Roger S. Jackson, Jheelam Banerjee, et al.. (2011). Role for Stromal Heterogeneity in Prostate Tumorigenesis. Cancer Research. 71(10). 3459–3470. 71 indexed citations

11.

Kiskowski, Maria A., John F. Hancock, & Anne K. Kenworthy. (2009). On the Use of Ripley's K-Function and Its Derivatives to Analyze Domain Size. Biophysical Journal. 97(4). 1095–1103. 193 indexed citations

12.

Yin, Chunyue, et al.. (2008). Cooperation of polarized cell intercalations drives convergence and extension of presomitic mesoderm during zebrafish gastrulation. The Journal of Cell Biology. 180(1). 221–232. 156 indexed citations

13.

Kiskowski, Maria A. & Anne K. Kenworthy. (2007). In Silico Characterization of Resonance Energy Transfer for Disk-Shaped Membrane Domains. Biophysical Journal. 92(9). 3040–3051. 17 indexed citations

14.

Sepich, Diane S., et al.. (2005). Initiation of convergence and extension movements of lateral mesoderm during zebrafish gastrulation. Developmental Dynamics. 234(2). 279–292. 81 indexed citations

15.

Kiskowski, Maria A., et al.. (2004). Interplay between activator–inhibitor coupling and cell-matrix adhesion in a cellular automaton model for chondrogenic patterning. Developmental Biology. 271(2). 372–387. 42 indexed citations

16.

Alber, Mark, Maria A. Kiskowski, & Yi Jiang. (2004). Two-Stage Aggregate Formation via Streams in Myxobacteria. Physical Review Letters. 93(6). 68102–68102. 24 indexed citations

17.

Alber, Mark, Yi Jiang, & Maria A. Kiskowski. (2004). Lattice gas cellular automation model for rippling and aggregation in myxobacteria. Physica D Nonlinear Phenomena. 191(3-4). 343–358. 29 indexed citations

18.

Kiskowski, Maria A., Yi Jiang, & Mark Alber. (2004). Role of streams in myxobacteria aggregate formation. Physical Biology. 1(3). 173–183. 16 indexed citations

19.

Kiskowski, Maria A.. (2004). Interplay between activator?inhibitor coupling and cell-matrix adhesion in a cellular automaton model for chondrogenic patterning. Developmental Biology. 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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