Alison Moss

3.9k total citations
9 papers, 80 citations indexed

About

Alison Moss is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biophysics. According to data from OpenAlex, Alison Moss has authored 9 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Biophysics. Recurrent topics in Alison Moss's work include Receptor Mechanisms and Signaling (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Alison Moss is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Alison Moss collaborates with scholars based in United States, New Zealand and France. Alison Moss's co-authors include Rajanikanth Vadigepalli, James S. Schwaber, Sirisha Achanta, Jin Chen, Zixi Cheng, Navid Farahani, Susan Tappan, Leonard M. Eisenman, Carolyn Chen and Elizabeth Smith and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and The FASEB Journal.

In The Last Decade

Alison Moss

9 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alison Moss United States	5	35	32	24	11	10	9	80
Alexander Schuster Germany	4	43 1.2×	138 4.3×	41 1.7×	7 0.6×	7 0.7×	6	192
Jennifer Heim United States	6	9 0.3×	55 1.7×	15 0.6×	4 0.4×	11 1.1×	7	140
Julia Geldner Austria	2	46 1.3×	33 1.0×	23 1.0×	12 1.1×	52 5.2×	2	122
David Andrijević United States	3	10 0.3×	61 1.9×	30 1.3×	9 0.8×	27 2.7×	5	146
Lance H. Rodan United States	5	13 0.4×	72 2.3×	31 1.3×	4 0.4×	8 0.8×	8	127
Nicholas Denny United Kingdom	6	17 0.5×	45 1.4×	27 1.1×	10 0.9×	18 1.8×	9	105
Ana Kosać Serbia	7	16 0.5×	82 2.6×	12 0.5×	31 2.8×	4 0.4×	15	120
Francesco Teatini Italy	5	15 0.4×	19 0.6×	41 1.7×	18 1.6×	17 1.7×	10	136
Claudio Bruno Italy	4	21 0.6×	91 2.8×	25 1.0×	5 0.5×	4 0.4×	12	102
Roberta Solazzi Italy	8	17 0.5×	55 1.7×	31 1.3×	4 0.4×	10 1.0×	20	162

Countries citing papers authored by Alison Moss

Since Specialization

Citations

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

Fields of papers citing papers by Alison Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Moss

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Moss. A scholar is included among the top collaborators of Alison Moss 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 Alison Moss. Alison Moss 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

Moss, Alison, et al.. (2025). Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single‐cell transcriptomics. The Journal of Physiology. 603(7). 2119–2138. 1 indexed citations

Achanta, Sirisha, et al.. (2024). Multi-organ gene expression analysis and network modeling reveal regulatory control cascades during the development of hypertension in female spontaneously hypertensive rat. PLoS ONE. 19(11). e0313252–e0313252. 1 indexed citations

Moss, Alison, et al.. (2023). Dynamic dysregulation of transcriptomic networks in brainstem autonomic nuclei during hypertension development in the female spontaneously hypertensive rat. Physiological Genomics. 56(3). 283–300. 2 indexed citations

Chen, Carolyn, Aastha Kapoor, Alison Moss, et al.. (2023). Conditional expression of endorepellin in the tumor vasculature attenuates breast cancer growth, angiogenesis and hyaluronan deposition. Matrix Biology. 118. 92–109. 5 indexed citations

Moss, Alison, et al.. (2022). Biophysical Models of Minipig Right Atrial Ganglionic Plexus Principal Neurons Identified from Transcriptomics Data. The FASEB Journal. 36(S1). 1 indexed citations

Moss, Alison, Sirisha Achanta, Peter Hanna, et al.. (2021). A single cell transcriptomics map of paracrine networks in the intrinsic cardiac nervous system. iScience. 24(7). 102713–102713. 19 indexed citations

Moss, Alison, Richard Christie, Navid Farahani, et al.. (2021). 3D single cell scale anatomical map of sex-dependent variability of the rat intrinsic cardiac nervous system. iScience. 24(7). 102795–102795. 8 indexed citations

Moss, Alison, et al.. (2021). Input-output signal processing plasticity of vagal motor neurons in response to cardiac ischemic injury. iScience. 24(3). 102143–102143. 5 indexed citations

Achanta, Sirisha, Alison Moss, Leonard M. Eisenman, et al.. (2020). A Comprehensive Integrated Anatomical and Molecular Atlas of Rat Intrinsic Cardiac Nervous System. iScience. 23(6). 101140–101140. 38 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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