Michael C. Kacergis

1.2k total citations
8 papers, 891 citations indexed

About

Michael C. Kacergis is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Michael C. Kacergis has authored 8 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cell Biology. Recurrent topics in Michael C. Kacergis's work include Mitochondrial Function and Pathology (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Michael C. Kacergis is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Michael C. Kacergis collaborates with scholars based in United States, Netherlands and Germany. Michael C. Kacergis's co-authors include Nathan D. Lawson, Brant M. Weinstein, Laurence Covassin, Jacques A. Villefranc, Alexander A. Soukas, Elizabeth C. Pino, Lianfeng Wu, Minsheng Yuan, Christopher M. Webster and Lianfeng Wu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael C. Kacergis

8 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael C. Kacergis United States	8	616	235	115	106	103	8	891
Jaegal Shim South Korea	19	485 0.8×	221 0.9×	46 0.4×	91 0.9×	136 1.3×	38	847
George Talbott United States	9	792 1.3×	186 0.8×	144 1.3×	193 1.8×	90 0.9×	17	1.1k
Hiroaki Iwasa Japan	13	482 0.8×	222 0.9×	50 0.4×	206 1.9×	74 0.7×	31	779
Feven Tameire United States	9	502 0.8×	284 1.2×	140 1.2×	80 0.8×	136 1.3×	11	847
Yvonne L. Woods United Kingdom	13	945 1.5×	92 0.4×	134 1.2×	128 1.2×	159 1.5×	16	1.2k
Nadine Cybulski Switzerland	7	1.1k 1.7×	150 0.6×	158 1.4×	313 3.0×	159 1.5×	7	1.4k
James Resau United States	15	674 1.1×	184 0.8×	138 1.2×	89 0.8×	72 0.7×	17	1.1k
Francesco Napoletano France	11	372 0.6×	195 0.8×	44 0.4×	73 0.7×	91 0.9×	12	675
Yann Nouët France	8	607 1.0×	84 0.4×	61 0.5×	112 1.1×	130 1.3×	8	829
Shannon McLaughlan Canada	7	883 1.4×	116 0.5×	52 0.5×	124 1.2×	172 1.7×	8	1.1k

Countries citing papers authored by Michael C. Kacergis

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Kacergis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Kacergis. 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 Michael C. Kacergis. The network helps show where Michael C. Kacergis may publish in the future.

Co-authorship network of co-authors of Michael C. Kacergis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Kacergis. A scholar is included among the top collaborators of Michael C. Kacergis 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 Michael C. Kacergis. Michael C. Kacergis 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

Yu, Haojie, Antoine Rimbert, Takafumi Toyohara, et al.. (2019). GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis. Cell. 179(6). 1276–1288.e14. 62 indexed citations

Zhou, Ben, Johannes Kreuzer, Caroline Kumsta, et al.. (2019). Mitochondrial Permeability Uncouples Elevated Autophagy and Lifespan Extension. Cell. 177(2). 299–314.e16. 148 indexed citations

Webster, Christopher M., Elizabeth C. Pino, Christopher E. Carr, et al.. (2017). Genome-wide RNAi Screen for Fat Regulatory Genes in C. elegans Identifies a Proteostasis-AMPK Axis Critical for Starvation Survival. Cell Reports. 20(3). 627–640. 26 indexed citations

Wu, Lianfeng, Ben Zhou, Man Li, et al.. (2016). An Ancient, Unified Mechanism for Metformin Growth Inhibition in C. elegans and Cancer. Cell. 167(7). 1705–1718.e13. 172 indexed citations

Yuan, Minsheng, Elizabeth C. Pino, Lianfeng Wu, Michael C. Kacergis, & Alexander A. Soukas. (2012). Identification of Akt-independent Regulation of Hepatic Lipogenesis by Mammalian Target of Rapamycin (mTOR) Complex 2. Journal of Biological Chemistry. 287(35). 29579–29588. 137 indexed citations

Covassin, Laurence, Arndt F. Siekmann, Michael C. Kacergis, et al.. (2009). A genetic screen for vascular mutants in zebrafish reveals dynamic roles for Vegf/Plcg1 signaling during artery development. Developmental Biology. 329(2). 212–226. 106 indexed citations

Covassin, Laurence, Jacques A. Villefranc, Michael C. Kacergis, Brant M. Weinstein, & Nathan D. Lawson. (2006). Distinct genetic interactions between multiple Vegf receptors are required for development of different blood vessel types in zebrafish. Proceedings of the National Academy of Sciences. 103(17). 6554–6559. 217 indexed citations

Sheppard, Barbara J., et al.. (2002). High mortality due to Tetrahymena sp. infection in laboratory-maintained zebrafish (Brachydanio rerio).. PubMed. 52(4). 363–7. 23 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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