Christopher Livia

689 total citations
9 papers, 195 citations indexed

About

Christopher Livia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Christopher Livia has authored 9 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Christopher Livia's work include Neuroscience and Neural Engineering (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Microbial Inactivation Methods (2 papers). Christopher Livia is often cited by papers focused on Neuroscience and Neural Engineering (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Microbial Inactivation Methods (2 papers). Christopher Livia collaborates with scholars based in United States, Sweden and Belgium. Christopher Livia's co-authors include Suraj Kapa, Samuel J. Asirvatham, Alan Sugrue, Christopher J. McLeod, Atta Behfar, Tyra A. Witt, Vaibhav R. Vaidya, Christopher V. DeSimone, Erdem Karabulut and Volodymyr Kuzmenko and has published in prestigious journals such as PLoS ONE, Plastic & Reconstructive Surgery and Mayo Clinic Proceedings.

In The Last Decade

Christopher Livia

9 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Livia United States	8	77	45	44	42	40	9	195
Krzysztof Krawczyk Poland	8	34 0.4×	139 3.1×	97 2.2×	8 0.2×	63 1.6×	22	332
Ramona Emig Germany	9	85 1.1×	102 2.3×	67 1.5×	25 0.6×	37 0.9×	16	297
Manpreet Malhi Canada	10	49 0.6×	67 1.5×	141 3.2×	19 0.5×	96 2.4×	14	268
Hiromi Miwa United States	9	13 0.2×	41 0.9×	120 2.7×	59 1.4×	16 0.4×	14	226
Yixuan Ming United States	6	34 0.4×	200 4.4×	201 4.6×	22 0.5×	63 1.6×	7	384
Allison Post United States	9	94 1.2×	42 0.9×	100 2.3×	98 2.3×	29 0.7×	31	324
Shubhayu Basu United States	10	63 0.8×	72 1.6×	115 2.6×	105 2.5×	13 0.3×	15	339
Jin-Ju Kim South Korea	12	31 0.4×	126 2.8×	47 1.1×	44 1.0×	7 0.2×	18	310
Cameron L. Nemeth United States	7	16 0.2×	104 2.3×	212 4.8×	98 2.3×	49 1.2×	7	414
Mitchell A. Gabalski United States	4	35 0.5×	206 4.6×	157 3.6×	22 0.5×	36 0.9×	6	328

Countries citing papers authored by Christopher Livia

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Livia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Livia. 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 Christopher Livia. The network helps show where Christopher Livia may publish in the future.

Co-authorship network of co-authors of Christopher Livia

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

All Works

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9 of 9 papers shown

Livia, Christopher, Ruben Crespo‐Diaz, Matthew L. Hillestad, et al.. (2024). Infliximab Limits Injury in Myocardial Infarction. Journal of the American Heart Association. 13(9). e032172–e032172. 7 indexed citations

Livia, Christopher, Timothy E. Peterson, Paul G. Stalboerger, et al.. (2023). Artificial Intelligence–Derived Electrocardiogram Assessment of Cardiac Age and Molecular Markers of Senescence in Heart Failure. Mayo Clinic Proceedings. 98(3). 372–385. 10 indexed citations

Arrell, D. Kent, Ruben Crespo‐Diaz, Satsuki Yamada, et al.. (2021). Secretome Signature of Cardiopoietic Cells Echoed in Rescued infarcted Heart Proteome. Stem Cells Translational Medicine. 10(9). 1320–1328. 7 indexed citations

Ikumi, Akira, Anne Gingery, Chunfeng Zhao, et al.. (2021). Administration of Purified Exosome Product in a Rat Sciatic Serve Reverse Autograft Model. Plastic & Reconstructive Surgery. 148(2). 200e–211e. 21 indexed citations

Sugrue, Alan, Vaibhav R. Vaidya, Christopher Livia, et al.. (2020). Feasibility of selective cardiac ventricular electroporation. PLoS ONE. 15(2). e0229214–e0229214. 22 indexed citations

Zyl, Martin van, Dawn Pedrotty, Erdem Karabulut, et al.. (2020). Injectable conductive hydrogel restores conduction through ablated myocardium. Journal of Cardiovascular Electrophysiology. 31(12). 3293–3301. 7 indexed citations

Pedrotty, Dawn, Volodymyr Kuzmenko, Erdem Karabulut, et al.. (2019). Three-Dimensional Printed Biopatches With Conductive Ink Facilitate Cardiac Conduction When Applied to Disrupted Myocardium. Circulation Arrhythmia and Electrophysiology. 12(3). e006920–e006920. 53 indexed citations

Singh, Raman Deep, Matthew L. Hillestad, Christopher Livia, et al.. (2018). M ³ RNA Drives Targeted Gene Delivery in Acute Myocardial Infarction. Tissue Engineering Part A. 25(1-2). 145–158. 19 indexed citations

Livia, Christopher, Alan Sugrue, Tyra A. Witt, et al.. (2018). Elimination of Purkinje Fibers by Electroporation Reduces Ventricular Fibrillation Vulnerability. Journal of the American Heart Association. 7(15). e009070–e009070. 49 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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