Lucy Barker

988 total citations · 1 hit paper
10 papers, 736 citations indexed

About

Lucy Barker is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Small Animals. According to data from OpenAlex, Lucy Barker has authored 10 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Surgery and 2 papers in Small Animals. Recurrent topics in Lucy Barker's work include Pulmonary Hypertension Research and Treatments (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Veterinary Medicine and Surgery (2 papers). Lucy Barker is often cited by papers focused on Pulmonary Hypertension Research and Treatments (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Veterinary Medicine and Surgery (2 papers). Lucy Barker collaborates with scholars based in United Kingdom, Portugal and United States. Lucy Barker's co-authors include Alan Holmes, Nicholas W. Morrell, David C. Budd, Christoph Walker, Joanna Pepke‐Żaba, Elaine Soon, Carmen Treacy, Paul Nicklin, Simon Jennings and Laura Southgate and has published in prestigious journals such as Circulation, American Journal of Physiology-Lung Cellular and Molecular Physiology and Postgraduate Medical Journal.

In The Last Decade

Lucy Barker

8 papers receiving 728 citations

Hit Papers

Elevated Levels of Inflammatory Cytokines Predict Surviva... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucy Barker United Kingdom 6 631 240 140 137 72 10 736
Radhika Gaddipati United States 6 742 1.2× 147 0.6× 113 0.8× 124 0.9× 60 0.8× 8 854
Robertas Scerbavicius United States 9 515 0.8× 135 0.6× 205 1.5× 93 0.7× 49 0.7× 9 869
Yoh Arita Japan 10 245 0.4× 110 0.5× 124 0.9× 87 0.6× 22 0.3× 36 456
Nair Yukie Maeda Brazil 14 355 0.6× 241 1.0× 58 0.4× 95 0.7× 96 1.3× 39 557
H. Ireland United Kingdom 21 162 0.3× 192 0.8× 148 1.1× 125 0.9× 166 2.3× 47 987
Yingyi Zhang China 10 155 0.2× 88 0.4× 117 0.8× 58 0.4× 17 0.2× 21 448
Adelheid Panzenboeck Austria 6 186 0.3× 148 0.6× 63 0.5× 34 0.2× 34 0.5× 10 377
Kathy Feldkircher United States 5 1.2k 1.9× 774 3.2× 60 0.4× 102 0.7× 288 4.0× 8 1.3k
Abby Krichman United States 7 1.3k 2.1× 867 3.6× 61 0.4× 144 1.1× 308 4.3× 15 1.4k
Ana H.C. Guimarães Netherlands 14 144 0.2× 175 0.7× 61 0.4× 77 0.6× 22 0.3× 15 557

Countries citing papers authored by Lucy Barker

Since Specialization
Citations

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

Fields of papers citing papers by Lucy Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucy Barker

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

All Works

10 of 10 papers shown
1.
Barker, Lucy, et al.. (2022). Point prevalence and clinical course of proteinuria in dogs with idiopathic non‐erosive immune‐mediated polyarthritis. Journal of Small Animal Practice. 63(8). 619–623.
2.
Barker, Lucy, et al.. (2021). Resting and postprandial serum bile acid concentrations in dogs with liver disease. Journal of Veterinary Internal Medicine. 35(3). 1333–1341. 9 indexed citations
3.
Barker, Lucy, et al.. (2020). Serological markers of gluten sensitivity in Border terriers with gall bladder mucocoeles. Journal of Small Animal Practice. 61(10). 630–636. 4 indexed citations
4.
Allerton, Fergus, Lucy Barker, Aarti Kathrani, et al.. (2018). Gall bladder mucoceles in Border terriers. Journal of Veterinary Internal Medicine. 32(5). 1618–1628. 25 indexed citations
5.
Davies, Rachel, Alan Holmes, John Deighton, et al.. (2012). BMP type II receptor deficiency confers resistance to growth inhibition by TGF-β in pulmonary artery smooth muscle cells: role of proinflammatory cytokines. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(6). L604–L615. 98 indexed citations
7.
8.
Soon, Elaine, Alan Holmes, Carmen Treacy, et al.. (2010). Elevated Levels of Inflammatory Cytokines Predict Survival in Idiopathic and Familial Pulmonary Arterial Hypertension. Circulation. 122(9). 920–927. 588 indexed citations breakdown →
9.
Soon, Elaine, Alan Holmes, Carmen Treacy, et al.. (2010). Elevated Levels Of Inflammatory Cytokines Are Strong Predictors Of Survival In Idiopathic And Familial Pulmonary Arterial Hypertension. A4824–A4824. 1 indexed citations
10.
Booth, Frances, et al.. (1984). Agranulocytosis during malaria prophylaxis with Maloprim (pyrimethamine and dapsone). Postgraduate Medical Journal. 60(706). 566–567. 5 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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