Janet Best

1.6k total citations
46 papers, 1.1k citations indexed

About

Janet Best is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Janet Best has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 12 papers in Cognitive Neuroscience. Recurrent topics in Janet Best's work include Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (12 papers). Janet Best is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (12 papers). Janet Best collaborates with scholars based in United States, United Kingdom and Germany. Janet Best's co-authors include Michael C. Reed, H. Frederik Nijhout, H. Frederik Nijhout, David Terman, Parastoo Hashemi, Michael J. Rempe, Martin Wechselberger, Jonathan E. Rubin, Alla Borisyuk and Aya Abdalla and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Analytical Chemistry.

In The Last Decade

Janet Best

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janet Best United States	21	370	328	311	178	109	46	1.1k
Carina Soares‐Cunha Portugal	21	775 2.1×	432 1.3×	627 2.0×	85 0.5×	38 0.3×	46	1.6k
Shreejoy J. Tripathy Canada	20	537 1.5×	467 1.4×	578 1.9×	50 0.3×	83 0.8×	58	1.6k
Bárbara Coimbra Portugal	18	657 1.8×	422 1.3×	362 1.2×	78 0.4×	38 0.3×	37	1.4k
José Marcelo Farfel Brazil	7	390 1.1×	359 1.1×	451 1.5×	40 0.2×	39 0.4×	9	1.5k
Mark P. Beenhakker United States	24	1.2k 3.3×	753 2.3×	459 1.5×	215 1.2×	43 0.4×	42	2.3k
Xiaoke Chen United States	19	748 2.0×	486 1.5×	591 1.9×	219 1.2×	53 0.5×	37	2.3k
Yee Lian Chew Australia	17	177 0.5×	159 0.5×	290 0.9×	188 1.1×	29 0.3×	32	986
Giuseppe Bertini Italy	23	317 0.9×	629 1.9×	249 0.8×	248 1.4×	155 1.4×	53	1.6k
Marco Atzori United States	24	891 2.4×	912 2.8×	478 1.5×	76 0.4×	41 0.4×	55	1.9k
Stephani Otte United States	13	459 1.2×	508 1.5×	159 0.5×	257 1.4×	31 0.3×	14	1.0k

Countries citing papers authored by Janet Best

Since Specialization

Citations

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

Fields of papers citing papers by Janet Best

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Best

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Best, Janet, et al.. (2024). A mathematical model of melatonin synthesis and interactions with the circadian clock. Mathematical Biosciences. 377. 109280–109280. 3 indexed citations

Duncan, W.J., Fernando Antoneli, Janet Best, et al.. (2024). Homeostasis Patterns. SIAM Journal on Applied Dynamical Systems. 23(3). 2262–2292. 1 indexed citations

Best, Janet, et al.. (2024). Modulation of serotonin transporter expression by escitalopram under inflammation. Communications Biology. 7(1). 710–710. 4 indexed citations

Fadel, Jim R., et al.. (2024). Serotonin as a biomarker of toxin-induced Parkinsonism. Molecular Medicine. 30(1). 33–33. 7 indexed citations

Nijhout, H. Frederik, et al.. (2023). Dynamical questions in volume transmission. Journal of Biological Dynamics. 17(1). 2269986–2269986. 1 indexed citations

Hersey, Melinda, Sara Lumbreras, H. Frederik Nijhout, et al.. (2023). Serotonin is a common thread linking different classes of antidepressants. Cell chemical biology. 30(12). 1557–1570.e6. 9 indexed citations

Hersey, Melinda, W.J. Duncan, Michael C. Reed, et al.. (2022). An In Vivo Definition of Brain Histamine Dynamics Reveals Critical Neuromodulatory Roles for This Elusive Messenger. International Journal of Molecular Sciences. 23(23). 14862–14862. 3 indexed citations

Lau, Thorsten, Melinda Hersey, Sandra Horschitz, et al.. (2022). Voltammetric Approach for Characterizing the Biophysical and Chemical Functionality of Human Induced Pluripotent Stem Cell-Derived Serotonin Neurons. Analytical Chemistry. 94(25). 8847–8856. 5 indexed citations

Abdalla, Aya, Yunju Jin, Edsel A. Peña, et al.. (2019). Fast serotonin voltammetry as a versatile tool for mapping dynamic tissue architecture: I. Responses at carbon fibers describe local tissue physiology. Journal of Neurochemistry. 153(1). 33–50. 25 indexed citations

10.

Duncan, W.J., Janet Best, Martin Golubitsky, H. Frederik Nijhout, & Michael C. Reed. (2018). Homeostasis despite instability. Mathematical Biosciences. 300. 130–137. 6 indexed citations

11.

Nijhout, H. Frederik, et al.. (2017). Systems Biology of Phenotypic Robustness and Plasticity. Integrative and Comparative Biology. 57(2). 171–184. 49 indexed citations

12.

Reed, Michael C., Janet Best, Martin Golubitsky, Ian Stewart, & H. Frederik Nijhout. (2017). Analysis of Homeostatic Mechanisms in Biochemical Networks. Bulletin of Mathematical Biology. 79(11). 2534–2557. 33 indexed citations

13.

Nijhout, H. Frederik, Janet Best, & Michael C. Reed. (2015). Using mathematical models to understand metabolism, genes, and disease. BMC Biology. 13(1). 79–79. 24 indexed citations

14.

Nijhout, H. Frederik, Janet Best, & Michael C. Reed. (2014). Escape from homeostasis. Mathematical Biosciences. 257. 104–110. 31 indexed citations

15.

Best, Janet. (2012). Colour design. Woodhead Publishing Limited eBooks. 8 indexed citations

16.

Reed, Michael C., H. Frederik Nijhout, & Janet Best. (2012). Mathematical Insights into the Effects of Levodopa. Frontiers in Integrative Neuroscience. 6. 21–21. 27 indexed citations

17.

Best, Janet, H. Frederik Nijhout, & Michael C. Reed. (2011). Bursts and the Efficacy of Selective Serotonin Reuptake Inhibitors. Pharmacopsychiatry. 44(S 01). S76–S83. 18 indexed citations

18.

Best, Janet, H. Frederik Nijhout, & Michael C. Reed. (2010). Serotonin synthesis, release and reuptake in terminals: a mathematical model. Theoretical Biology and Medical Modelling. 7(1). 34–34. 115 indexed citations

19.

Best, Janet. (2009). Doubly stochastic processes: an approach for understanding central nervous system activity. International Conference on Applied Mathematics. 155–158. 2 indexed citations

20.

Gall, Andrew J., et al.. (2009). Developmental Emergence of Power-Law Wake Behavior Depends Upon the Functional Integrity of the Locus Coeruleus. SLEEP. 32(7). 920–926. 19 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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