Monica E. Susilo

527 total citations
8 papers, 428 citations indexed

About

Monica E. Susilo is a scholar working on Cell Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Monica E. Susilo has authored 8 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Biomaterials and 4 papers in Biomedical Engineering. Recurrent topics in Monica E. Susilo's work include Collagen: Extraction and Characterization (5 papers), Cellular Mechanics and Interactions (5 papers) and Elasticity and Material Modeling (2 papers). Monica E. Susilo is often cited by papers focused on Collagen: Extraction and Characterization (5 papers), Cellular Mechanics and Interactions (5 papers) and Elasticity and Material Modeling (2 papers). Monica E. Susilo collaborates with scholars based in United States and United Kingdom. Monica E. Susilo's co-authors include Eric A. Nauman, Sònia Trigueros, Sonia Contera, Arvind Raman, Jeffrey W. Ruberti, Jeffrey A. Paten, Jonathan P. Rothstein, Edward A. Sander, Thao D. Nguyen and Blayne Roeder and has published in prestigious journals such as ACS Nano, Nature Nanotechnology and Acta Biomaterialia.

In The Last Decade

Monica E. Susilo

8 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monica E. Susilo United States	7	225	169	146	80	51	8	428
M.H. van Es Netherlands	10	172 0.8×	166 1.0×	64 0.4×	47 0.6×	58 1.1×	21	420
Ivan Gusachenko France	10	117 0.5×	239 1.4×	73 0.5×	74 0.9×	45 0.9×	24	608
R. Imer Switzerland	6	101 0.4×	119 0.7×	89 0.6×	59 0.7×	18 0.4×	8	408
Anja Vinckier Switzerland	8	277 1.2×	148 0.9×	156 1.1×	42 0.5×	79 1.5×	8	511
Gaël Latour France	17	94 0.4×	289 1.7×	65 0.4×	74 0.9×	30 0.6×	34	781
Mohammad Reza Dodge United States	10	67 0.3×	215 1.3×	73 0.5×	185 2.3×	102 2.0×	15	575
C.J. Murphy United States	8	69 0.3×	101 0.6×	116 0.8×	45 0.6×	24 0.5×	16	428
Alicia Calzado‐Martín Spain	7	92 0.4×	164 1.0×	142 1.0×	33 0.4×	14 0.3×	10	339
Shuzo Mishima Japan	10	227 1.0×	191 1.1×	82 0.6×	23 0.3×	75 1.5×	14	386
Maxime Rivard Canada	12	63 0.3×	162 1.0×	34 0.2×	32 0.4×	65 1.3×	23	371

Countries citing papers authored by Monica E. Susilo

Since Specialization

Citations

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

Fields of papers citing papers by Monica E. Susilo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica E. Susilo. 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 Monica E. Susilo. The network helps show where Monica E. Susilo may publish in the future.

Co-authorship network of co-authors of Monica E. Susilo

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

All Works

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8 of 8 papers shown

1.

Susilo, Monica E., et al.. (2021). Development of Fluorescently Labeled, Functional Type I Collagen Molecules. Macromolecular Bioscience. 22(3). e2100144–e2100144. 7 indexed citations

2.

Susilo, Monica E., et al.. (2020). Quantitative analysis of variability in an integrated model of human ventricular electrophysiology and β-adrenergic signaling. Journal of Molecular and Cellular Cardiology. 143. 96–106. 14 indexed citations

3.

Zareian, Ramin, Monica E. Susilo, Jeffrey A. Paten, et al.. (2016). Human Corneal Fibroblast Pattern Evolution and Matrix Synthesis on Mechanically Biased Substrates. Tissue Engineering Part A. 22(19-20). 1204–1217. 13 indexed citations

4.

Paten, Jeffrey A., et al.. (2016). Flow-Induced Crystallization of Collagen: A Potentially Critical Mechanism in Early Tissue Formation. ACS Nano. 10(5). 5027–5040. 59 indexed citations

5.

Susilo, Monica E., Jeffrey A. Paten, Edward A. Sander, Thao D. Nguyen, & Jeffrey W. Ruberti. (2015). Collagen network strengthening following cyclic tensile loading. Interface Focus. 6(1). 20150088–20150088. 39 indexed citations

6.

Susilo, Monica E., Brett Bell, Blayne Roeder, et al.. (2012). Prediction of equibiaxial loading stress in collagen-based extracellular matrix using a three-dimensional unit cell model. Acta Biomaterialia. 9(3). 5544–5553. 4 indexed citations

7.

Raman, Arvind, et al.. (2011). Mapping nanomechanical properties of live cells using multi-harmonic atomic force microscopy. Nature Nanotechnology. 6(12). 809–814. 276 indexed citations

8.

Susilo, Monica E., Blayne Roeder, Sherry L. Voytik‐Harbin, Klod Kokini, & Eric A. Nauman. (2009). Development of a three-dimensional unit cell to model the micromechanical response of a collagen-based extracellular matrix. Acta Biomaterialia. 6(4). 1471–1486. 16 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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