Mitchell A. Gabalski

548 total citations · 1 hit paper
6 papers, 328 citations indexed

About

Mitchell A. Gabalski is a scholar working on Surgery, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Mitchell A. Gabalski has authored 6 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Molecular Biology and 1 paper in Automotive Engineering. Recurrent topics in Mitchell A. Gabalski's work include Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Mitchell A. Gabalski is often cited by papers focused on Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Mitchell A. Gabalski collaborates with scholars based in United States. Mitchell A. Gabalski's co-authors include Yonatan R. Lewis‐Israeli, Aitor Aguirre, Brett Volmert, Aaron H. Wasserman, Guangming Ni, Jinyun Zou, Chao Zhou, Kristen Ball, Weiyang Yang and Xanthippi Chatzistavrou and has published in prestigious journals such as Nature Communications, Journal of Visualized Experiments and Science and Technology of Advanced Materials.

In The Last Decade

Mitchell A. Gabalski

6 papers receiving 326 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-assembling human heart organoids for the modeling of cardiac development and congenital heart disease

2021 295 citations Yonatan R. Lewis‐Israeli, Aaron H. Wasserman et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell A. Gabalski United States	4	206	157	153	36	35	6	328
Brett Volmert United States	7	247 1.2×	220 1.4×	192 1.3×	41 1.1×	46 1.3×	12	427
Katharina Ritzenhoff Germany	3	206 1.0×	140 0.9×	131 0.9×	21 0.6×	26 0.7×	4	300
Kristen Ball United States	5	253 1.2×	153 1.0×	142 0.9×	37 1.0×	42 1.2×	7	385
Jana Teske Germany	5	219 1.1×	146 0.9×	143 0.9×	20 0.6×	27 0.8×	7	318
Lika Drakhlis Germany	7	244 1.2×	156 1.0×	154 1.0×	19 0.5×	31 0.9×	8	355
Alison Deyett Austria	4	278 1.3×	169 1.1×	176 1.2×	27 0.8×	53 1.5×	5	401
Nóra Pápai Austria	4	284 1.4×	166 1.1×	175 1.1×	27 0.8×	53 1.5×	4	403
Yonatan R. Lewis‐Israeli United States	8	286 1.4×	227 1.4×	218 1.4×	45 1.3×	55 1.6×	11	475
Clara Schmidt Austria	4	286 1.4×	169 1.1×	177 1.2×	28 0.8×	53 1.5×	4	410
Holly K. Voges Australia	6	296 1.4×	176 1.1×	201 1.3×	31 0.9×	67 1.9×	8	423

Countries citing papers authored by Mitchell A. Gabalski

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell A. Gabalski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell A. Gabalski

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

All Works

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6 of 6 papers shown

1.

Kostina, Aleksandra, Yonatan R. Lewis‐Israeli, Mitchell A. Gabalski, et al.. (2024). ER stress and lipid imbalance drive diabetic embryonic cardiomyopathy in an organoid model of human heart development. Stem Cell Reports. 19(3). 317–330. 11 indexed citations

2.

Gabalski, Mitchell A., et al.. (2023). Comparisons of 3D printed materials for biomedical imaging applications. Science and Technology of Advanced Materials. 24(1). 2273803–2273803. 2 indexed citations

3.

Lewis‐Israeli, Yonatan R., Aaron H. Wasserman, Mitchell A. Gabalski, et al.. (2021). Self-assembling human heart organoids for the modeling of cardiac development and congenital heart disease. Nature Communications. 12(1). 5142–5142. 295 indexed citations breakdown →

4.

Lewis‐Israeli, Yonatan R., et al.. (2021). Generating Self-Assembling Human Heart Organoids Derived from Pluripotent Stem Cells. Journal of Visualized Experiments. 12 indexed citations

5.

Lewis‐Israeli, Yonatan R., et al.. (2021). Generating Self-Assembling Human Heart Organoids Derived from Pluripotent Stem Cells. Journal of Visualized Experiments. 1 indexed citations

6.

Lewis‐Israeli, Yonatan R., Mitchell A. Gabalski, Kristen Ball, et al.. (2020). Generation of Heart Organoids Modeling Early Human Cardiac Development Under Defined Conditions. SSRN Electronic Journal. 7 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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