Megan E. Smithmyer

527 total citations
10 papers, 389 citations indexed

About

Megan E. Smithmyer is a scholar working on Surgery, Obstetrics and Gynecology and Cell Biology. According to data from OpenAlex, Megan E. Smithmyer has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Obstetrics and Gynecology and 3 papers in Cell Biology. Recurrent topics in Megan E. Smithmyer's work include Pregnancy and preeclampsia studies (3 papers), Cellular Mechanics and Interactions (3 papers) and Diabetes and associated disorders (2 papers). Megan E. Smithmyer is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Cellular Mechanics and Interactions (3 papers) and Diabetes and associated disorders (2 papers). Megan E. Smithmyer collaborates with scholars based in United States, Zambia and France. Megan E. Smithmyer's co-authors include April M. Kloxin, Lisa A. Sawicki, Paige J. LeValley, Brent S. Sumerlin, Bellington Vwalika, Dwight J. Rouse, Colin O’Rourke, Joan T. Price, Robert L. Goldenberg and Carla J. Greenbaum and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetologia and AIChE Journal.

In The Last Decade

Megan E. Smithmyer

10 papers receiving 387 citations

Peers

Megan E. Smithmyer

BE

BIOMA

MM

CB

PP

Seongyeon Jo South Korea

Stacy Cereceres United States

Xuebin Ma China

Ik Sung Cho South Korea

Naizhen Zhou China

Rachael A. Floreani United States

Mingyu Wang China

Sureerat Khunmanee South Korea

Maolei Sun China

Seongyeon Jo South Korea

Megan E. Smithmyer

142 ×0.9

BE

238 ×1.9

BIOMA

88 ×1.0

MM

31 ×0.4

CB

34 ×0.6

PP

Citations per year, relative to Megan E. Smithmyer Megan E. Smithmyer (= 1×) peers Seongyeon Jo

Countries citing papers authored by Megan E. Smithmyer

Since Specialization

Citations

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

Fields of papers citing papers by Megan E. Smithmyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan E. Smithmyer

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

All Works

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10 of 10 papers shown

1.

Hartley, Rachel, Megan E. Smithmyer, Cate Speake, et al.. (2025). T cell and autoantibody recognition of nucleus-associated islet autoantigens in individuals with type 1 diabetes. Diabetologia. 68(8). 1721–1734. 1 indexed citations

2.

Pribitzer, Stephan, Colin O’Rourke, Alyssa Ylescupidez, et al.. (2024). Beyond Stages: Predicting Individual Time Dependent Risk for Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 109(12). 3211–3219. 5 indexed citations

3.

Smithmyer, Megan E., Chileshe M. Mabula‐Bwalya, M. Bridget Spelke, et al.. (2021). Circulating angiogenic factors and HIV among pregnant women in Zambia: a nested case–control study. BMC Pregnancy and Childbirth. 21(1). 534–534. 1 indexed citations

4.

Price, Joan T., Bellington Vwalika, Stephen R. Cole, et al.. (2021). Weekly 17 alpha-hydroxyprogesterone caproate to prevent preterm birth among women living with HIV: a randomised, double-blind, placebo-controlled trial. The Lancet HIV. 8(10). e605–e613. 19 indexed citations

5.

Smithmyer, Megan E., Alice Wiedeman, David Skibinski, et al.. (2021). A simple strategy for sample annotation error detection in cytometry datasets. Cytometry Part A. 101(4). 351–360. 1 indexed citations

6.

Mabula‐Bwalya, Chileshe M., Megan E. Smithmyer, Bellington Vwalika, et al.. (2021). Association of mid‐trimester maternal angiogenic biomarkers with small‐for‐gestational‐age infants in an urban Zambian cohort: a nested case‐control study. International Journal of Gynecology & Obstetrics. 157(3). 604–612. 1 indexed citations

7.

Smithmyer, Megan E., et al.. (2019). Bridging 2D and 3D culture: Probing impact of extracellular environment on fibroblast activation in layered hydrogels. AIChE Journal. 65(12). 30 indexed citations

8.

Smithmyer, Megan E., et al.. (2018). Self-Healing Boronic Acid-Based Hydrogels for 3D Co-cultures. ACS Macro Letters. 7(9). 1105–1110. 144 indexed citations

9.

Smithmyer, Megan E., et al.. (2018). Probing Fibroblast Activation in Response to Extracellular Cues with Whole Protein- or Peptide-Functionalized Step-Growth Hydrogels. ACS Biomaterials Science & Engineering. 4(9). 3304–3316. 12 indexed citations

10.

Smithmyer, Megan E., Lisa A. Sawicki, & April M. Kloxin. (2014). Hydrogel scaffolds asin vitromodels to study fibroblast activation in wound healing and disease. Biomaterials Science. 2(5). 634–650. 175 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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