Hannah M. Campbell

480 total citations
11 papers, 345 citations indexed

About

Hannah M. Campbell is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Hannah M. Campbell has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Hannah M. Campbell's work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Hannah M. Campbell is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Hannah M. Campbell collaborates with scholars based in United States, Germany and China. Hannah M. Campbell's co-authors include Xander H.T. Wehrens, Ann P. Quick, Julia O. Reynolds, Mirjana Maletić‐Savatić, Xu Han, Leonne E. Philippen, Dobromir Dobrev, David Y. Chiang, Mohit Hulsurkar and Katherina M. Alsina and has published in prestigious journals such as Circulation, Circulation Research and Cardiovascular Research.

In The Last Decade

Hannah M. Campbell

11 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah M. Campbell United States	10	224	214	43	21	15	11	345
Wassim A. Basheer United States	7	128 0.6×	297 1.4×	27 0.6×	11 0.5×	15 1.0×	8	345
Anna Oliveras Spain	11	176 0.8×	284 1.3×	104 2.4×	25 1.2×	23 1.5×	15	365
Luca Mazzoni Italy	8	239 1.1×	143 0.7×	50 1.2×	12 0.6×	12 0.8×	13	343
Haseeb Valli United Kingdom	13	205 0.9×	210 1.0×	77 1.8×	26 1.2×	6 0.4×	23	323
Eino Palin Finland	8	63 0.3×	218 1.0×	50 1.2×	18 0.9×	18 1.2×	9	284
Simone Spinozzi United States	9	118 0.5×	213 1.0×	50 1.2×	46 2.2×	39 2.6×	12	314
Shuyan Li China	10	82 0.4×	81 0.4×	28 0.7×	17 0.8×	10 0.7×	17	209
Edward P. Cheng United States	10	340 1.5×	310 1.4×	123 2.9×	39 1.9×	23 1.5×	15	571
Mark Ver Heyen Belgium	9	164 0.7×	324 1.5×	71 1.7×	20 1.0×	34 2.3×	10	390
Saman Rezazadeh Canada	11	301 1.3×	339 1.6×	164 3.8×	16 0.8×	9 0.6×	21	441

Countries citing papers authored by Hannah M. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Hannah M. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah M. Campbell. 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 Hannah M. Campbell. The network helps show where Hannah M. Campbell may publish in the future.

Co-authorship network of co-authors of Hannah M. Campbell

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

All Works

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11 of 11 papers shown

Campbell, Hannah M., et al.. (2023). Impact of antidepressant use on the autonomic nervous system: A meta-analysis and systematic review. European Neuropsychopharmacology. 71. 75–95. 14 indexed citations

Campbell, Hannah M., et al.. (2022). Class I PI3K Biology. Current topics in microbiology and immunology. 436. 3–49. 5 indexed citations

Campbell, Hannah M., Xiangnan Guan, Tarah A. Word, et al.. (2021). Reversible cardiac disease features in an inducible CUG repeat RNA–expressing mouse model of myotonic dystrophy. JCI Insight. 6(5). 11 indexed citations

Ni, Li, Satadru K. Lahiri, Jiali Nie, et al.. (2021). Genetic inhibition of nuclear factor of activated T-cell c2 prevents atrial fibrillation in CREM transgenic mice. Cardiovascular Research. 118(13). 2805–2818. 18 indexed citations

Campbell, Hannah M., Ann P. Quick, Issam Abu-Taha, et al.. (2020). Loss of SPEG Inhibitory Phosphorylation of Ryanodine Receptor Type-2 Promotes Atrial Fibrillation. Circulation. 142(12). 1159–1172. 54 indexed citations

Campbell, Hannah M., et al.. (2020). SPEG: a key regulator of cardiac calcium homeostasis. Cardiovascular Research. 117(10). 2175–2185. 21 indexed citations

Ni, Li, Larry Scott, Hannah M. Campbell, et al.. (2019). Atrial-Specific Gene Delivery Using an Adeno-Associated Viral Vector. Circulation Research. 124(2). 256–262. 47 indexed citations

Cheedipudi, Sirisha, Jinzhu Hu, Siyang Fan, et al.. (2019). Exercise restores dysregulated gene expression in a mouse model of arrhythmogenic cardiomyopathy. Cardiovascular Research. 116(6). 1199–1213. 46 indexed citations

Campbell, Hannah M. & Xander H.T. Wehrens. (2018). Genetics of atrial fibrillation. Current Opinion in Cardiology. 33(3). 304–310. 13 indexed citations

10.

Quick, Ann P., Qiongling Wang, Leonne E. Philippen, et al.. (2016). SPEG (Striated Muscle Preferentially Expressed Protein Kinase) Is Essential for Cardiac Function by Regulating Junctional Membrane Complex Activity. Circulation Research. 120(1). 110–119. 76 indexed citations

11.

Campbell, Hannah M., et al.. (2015). Metabolomics of Neurodegenerative Diseases. International review of neurobiology. 122. 53–80. 40 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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