Barbora Doslikova

442 total citations
8 papers, 345 citations indexed

About

Barbora Doslikova is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Barbora Doslikova has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrine and Autonomic Systems, 5 papers in Nutrition and Dietetics and 4 papers in Physiology. Recurrent topics in Barbora Doslikova's work include Regulation of Appetite and Obesity (8 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipose Tissue and Metabolism (3 papers). Barbora Doslikova is often cited by papers focused on Regulation of Appetite and Obesity (8 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipose Tissue and Metabolism (3 papers). Barbora Doslikova collaborates with scholars based in United Kingdom, United States and Canada. Barbora Doslikova's co-authors include Lora K. Heisler, Luke K. Burke, Alastair S. Garfield, Teodora Georgescu, Giuseppe D’Agostino, Justin J. Rochford, Mark L. Evans, D. Lyons, Martin G. Myers and Pablo B. Martínez de Morentin and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Cell Metabolism.

In The Last Decade

Barbora Doslikova

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbora Doslikova United Kingdom	8	212	130	89	47	47	8	345
Esther M. van der Zwaal Netherlands	11	230 1.1×	197 1.5×	97 1.1×	62 1.3×	71 1.5×	12	412
Rodrigo Rorato Brazil	12	206 1.0×	155 1.2×	66 0.7×	66 1.4×	39 0.8×	35	424
Sarah R. Lindsley United States	11	232 1.1×	137 1.1×	89 1.0×	79 1.7×	36 0.8×	15	430
Teodora Georgescu United Kingdom	11	205 1.0×	126 1.0×	86 1.0×	111 2.4×	67 1.4×	14	461
Beatriz C. Borges Brazil	16	215 1.0×	145 1.1×	74 0.8×	82 1.7×	39 0.8×	33	507
Lindsay Naef Canada	10	231 1.1×	188 1.4×	115 1.3×	44 0.9×	89 1.9×	11	529
Karthik Ramesh United States	2	167 0.8×	97 0.7×	88 1.0×	47 1.0×	56 1.2×	8	357
Mihaela Enache France	9	160 0.8×	189 1.5×	91 1.0×	42 0.9×	35 0.7×	10	528
Timothy South Australia	8	217 1.0×	170 1.3×	93 1.0×	55 1.2×	106 2.3×	8	391
Molly McDougle United States	6	172 0.8×	121 0.9×	64 0.7×	62 1.3×	86 1.8×	9	360

Countries citing papers authored by Barbora Doslikova

Since Specialization

Citations

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

Fields of papers citing papers by Barbora Doslikova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbora Doslikova

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

Georgescu, Teodora, D. Lyons, Barbora Doslikova, et al.. (2020). Neurochemical Characterization of Brainstem Pro-Opiomelanocortin Cells. Endocrinology. 161(4). 49 indexed citations

Doslikova, Barbora, et al.. (2019). Convergent neuronal projections from paraventricular nucleus, parabrachial nucleus, and brainstem onto gastrocnemius muscle, white and brown adipose tissue in male rats. The Journal of Comparative Neurology. 527(17). 2826–2842. 17 indexed citations

D’Agostino, Giuseppe, D. Lyons, Claudia Cristiano, et al.. (2018). Nucleus of the Solitary Tract Serotonin 5-HT2C Receptors Modulate Food Intake. Cell Metabolism. 28(4). 619–630.e5. 110 indexed citations

Alzaïd, Fawaz, et al.. (2017). Melanin-concentrating hormone in peripheral circulation in the human. Journal of Endocrinology. 232(3). 513–523. 7 indexed citations

Burke, Luke K., Barbora Doslikova, Giuseppe D’Agostino, et al.. (2016). Sex difference in physical activity, energy expenditure and obesity driven by a subpopulation of hypothalamic POMC neurons. Molecular Metabolism. 5(3). 245–252. 71 indexed citations

Luchtman, Dirk, Melissa J. Chee, Barbora Doslikova, et al.. (2015). Defense of Elevated Body Weight Setpoint in Diet-Induced Obese Rats on Low Energy Diet Is Mediated by Loss of Melanocortin Sensitivity in the Paraventricular Hypothalamic Nucleus. PLoS ONE. 10(10). e0139462–e0139462. 8 indexed citations

Burke, Luke K., Barbora Doslikova, Giuseppe D’Agostino, et al.. (2014). 5-HT Obesity Medication Efficacy via POMC Activation is Maintained During Aging. Endocrinology. 155(10). 3732–3738. 37 indexed citations

Doslikova, Barbora, Alastair S. Garfield, James Shaw, et al.. (2013). 5-HT2C Receptor Agonist Anorectic Efficacy Potentiated by 5-HT1B Receptor Agonist Coapplication: An Effect Mediated via Increased Proportion of Pro-Opiomelanocortin Neurons Activated. Journal of Neuroscience. 33(23). 9800–9804. 46 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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