Catherine Sampson

407 total citations
19 papers, 279 citations indexed

About

Catherine Sampson is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Catherine Sampson has authored 19 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Endocrine and Autonomic Systems and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Catherine Sampson's work include Regulation of Appetite and Obesity (4 papers), Palliative Care and End-of-Life Issues (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Catherine Sampson is often cited by papers focused on Regulation of Appetite and Obesity (4 papers), Palliative Care and End-of-Life Issues (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Catherine Sampson collaborates with scholars based in United States, United Kingdom and China. Catherine Sampson's co-authors include Rhiannon Evans, Sarah MacDonald, Lucy Biddle, Ruth Turley, Nicola Ring, R. Loy, Mark D. Lindner, Annmarie Nelson, Jonathan D. Hommel and Anthony Byrne and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Biological Psychiatry.

In The Last Decade

Catherine Sampson

17 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Sampson United States 10 86 76 53 45 45 19 279
Daniel Almeida Canada 14 79 0.9× 29 0.4× 46 0.9× 87 1.9× 64 1.4× 20 405
Christian Weinland Germany 13 52 0.6× 20 0.3× 58 1.1× 65 1.4× 28 0.6× 22 326
Brenda G. Hewitt United States 8 56 0.7× 54 0.7× 25 0.5× 28 0.6× 24 0.5× 12 385
India A. Reddy United States 8 35 0.4× 150 2.0× 17 0.3× 115 2.6× 27 0.6× 12 406
L. Escobar Jiménez Spain 7 128 1.5× 103 1.4× 7 0.1× 29 0.6× 94 2.1× 9 341
Terri A. Levine Ireland 8 28 0.3× 41 0.5× 14 0.3× 39 0.9× 87 1.9× 8 380
Michal Morag Israel 6 44 0.5× 19 0.3× 82 1.5× 23 0.5× 16 0.4× 9 478
Pekka Heinälä Finland 7 26 0.3× 119 1.6× 9 0.2× 55 1.2× 39 0.9× 10 353
O-P Ryynänen Finland 5 135 1.6× 269 3.5× 24 0.5× 104 2.3× 77 1.7× 11 515
Yue‐Ling Li China 11 41 0.5× 82 1.1× 67 1.3× 43 1.0× 11 0.2× 26 334

Countries citing papers authored by Catherine Sampson

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Sampson

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

All Works

19 of 19 papers shown
1.
Sampson, Catherine, Syed Ahmar Shah, Michael P. Kinsky, et al.. (2025). Comparative Assessment of In Vivo and In Silico Evaluation of Automated Fluid Resuscitation Controllers. Annals of Biomedical Engineering. 54(3). 857–868.
2.
Sampson, Catherine, Michael P. Kinsky, George C. Kramer, et al.. (2024). A Lumped-Parameter Model of the Cardiovascular System Response for Evaluating Automated Fluid Resuscitation Systems. IEEE Access. 12. 62511–62525. 3 indexed citations
3.
Sampson, Catherine, et al.. (2024). Development of a Virtual Patient Generator for Simulation of Vasopressor Resuscitation. Journal of Dynamic Systems Measurement and Control. 147(3).
4.
Squire, Maria E., Julia M. Hum, Lilian I. Plotkin, et al.. (2023). Examining the Role of Hypothalamus-Derived Neuromedin-U (NMU) in Bone Remodeling of Rats. Life. 13(4). 918–918. 2 indexed citations
5.
Sampson, Catherine, John R. Salsbury, Ramin Bighamian, et al.. (2022). A Mathematical Model for Simulation of Vasoplegic Shock and Vasopressor Therapy. IEEE Transactions on Biomedical Engineering. 70(5). 1565–1574. 7 indexed citations
6.
7.
Nelson, Annmarie, Mirella Longo, Anthony Byrne, et al.. (2020). Chemotherapy decision-making in advanced lung cancer: a prospective qualitative study. BMJ Supportive & Palliative Care. 14(e1). e758–e764. 11 indexed citations
9.
MacDonald, Sarah, Catherine Sampson, Ruth Turley, et al.. (2020). Patients’ Experiences of Emergency Hospital Care Following Self-Harm: Systematic Review and Thematic Synthesis of Qualitative Research. Qualitative Health Research. 30(3). 471–485. 64 indexed citations
10.
Sampson, Catherine, James M. Kasper, Na Ye, et al.. (2018). Small‐Molecule Neuromedin U Receptor 2 Agonists Suppress Food Intake and Decrease Visceral Fat in Animal Models. Pharmacology Research & Perspectives. 6(5). e00425–e00425. 11 indexed citations
11.
Sivell, Stephanie, Simon Noble, J.F. Lester, et al.. (2017). Development of an intervention to support patients and clinicians with advanced lung cancer when considering systemic anticancer therapy: protocol for the PACT study. BMJ Open. 7(7). e015277–e015277. 4 indexed citations
12.
Finlay, Ilora, et al.. (2016). Gaining an accurate reflection of the reality of palliative care through the use of free-text feedback in questionnaires: the AFTER study. BMJ Supportive & Palliative Care. 9(1). e17–e17. 4 indexed citations
13.
Kasper, James M., David McCue, Catherine Sampson, et al.. (2016). Gamma-Aminobutyric Acidergic Projections From the Dorsal Raphe to the Nucleus Accumbens Are Regulated by Neuromedin U. Biological Psychiatry. 80(11). 878–887. 24 indexed citations
14.
Sivell, Stephanie, Hayley Prout, Jessica Baillie, et al.. (2015). Considerations and recommendations for conducting qualitative research interviews with palliative and end-of-life care patients in the home setting: a consensus paper. BMJ Supportive & Palliative Care. 9(1). e14–e14. 37 indexed citations
15.
Sampson, Catherine, et al.. (2014). c-Fos induction in mesotelencephalic dopamine pathway projection targets and dorsal striatum following oral intake of sugars and fats in rats. Brain Research Bulletin. 111. 9–19. 22 indexed citations
17.
Sampson, Catherine, et al.. (2012). Critical role of NMDA but not opioid receptors in the acquisition of fat-conditioned flavor preferences in rats. Neurobiology of Learning and Memory. 98(4). 341–347. 15 indexed citations
18.
Sampson, Catherine, et al.. (2012). Roles of dopamine D1 and D2 receptors in the acquisition and expression of fat-conditioned flavor preferences in rats. Neurobiology of Learning and Memory. 97(3). 332–337. 16 indexed citations
19.
Lindner, Mark D., et al.. (1994). Relationship of APP mRNA transcripts and levels of NGF and low-affinity NGF receptors to behavioral measures of age-related cognitive dysfunction. Journal of Neuroscience. 14(4). 2282–2289. 33 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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