Nicholas Bowker

1.3k total citations
9 papers, 510 citations indexed

About

Nicholas Bowker is a scholar working on Genetics, Physiology and Infectious Diseases. According to data from OpenAlex, Nicholas Bowker has authored 9 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Physiology and 2 papers in Infectious Diseases. Recurrent topics in Nicholas Bowker's work include Genetic Associations and Epidemiology (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Diet and metabolism studies (2 papers). Nicholas Bowker is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Diet and metabolism studies (2 papers). Nicholas Bowker collaborates with scholars based in United Kingdom, South Africa and United States. Nicholas Bowker's co-authors include Claudia Langenberg, Nicholas J. Wareham, Isobel D. Stewart, Luca A. Lotta, Stephen J. Sharp, Jian’an Luan, Chen Li, John R. B. Perry, Felix R. Day and Eleanor Wheeler and has published in prestigious journals such as Cell, JAMA and Diabetes.

In The Last Decade

Nicholas Bowker

9 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Bowker United Kingdom 7 152 127 126 115 109 9 510
Emanuele Filice Italy 14 165 1.1× 117 0.9× 73 0.6× 163 1.4× 80 0.7× 26 549
Titta Salopuro Finland 8 114 0.8× 131 1.0× 87 0.7× 245 2.1× 63 0.6× 11 495
Lucie Šedová Czechia 18 305 2.0× 153 1.2× 127 1.0× 169 1.5× 33 0.3× 50 692
Chris Jenkinson United States 10 245 1.6× 193 1.5× 85 0.7× 245 2.1× 88 0.8× 11 649
Shiran Udi Israel 13 211 1.4× 120 0.9× 49 0.4× 124 1.1× 35 0.3× 15 672
Matthew Neville United Kingdom 8 106 0.7× 90 0.7× 56 0.4× 267 2.3× 34 0.3× 10 472
Riika Kilpikari Finland 13 105 0.7× 124 1.0× 194 1.5× 86 0.7× 65 0.6× 15 515
Yuvaraj Mahendran Denmark 13 377 2.5× 235 1.9× 200 1.6× 339 2.9× 53 0.5× 22 881
LA Velloso Brazil 8 147 1.0× 92 0.7× 32 0.3× 174 1.5× 61 0.6× 15 453
Imen Boumaiza Tunisia 13 32 0.2× 87 0.7× 60 0.5× 99 0.9× 126 1.2× 22 434

Countries citing papers authored by Nicholas Bowker

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Bowker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Bowker

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

All Works

9 of 9 papers shown
1.
Schurz, Haiko, Brigitte Glanzmann, Nicholas Bowker, et al.. (2022). Deciphering Genetic Susceptibility to Tuberculous Meningitis. Frontiers in Neurology. 13. 820168–820168. 2 indexed citations
2.
Perry, Benjamin I., Nicholas Bowker, Stephen Burgess, et al.. (2022). Evidence for Shared Genetic Aetiology Between Schizophrenia, Cardiometabolic, and Inflammation-Related Traits: Genetic Correlation and Colocalization Analyses. Schizophrenia Bulletin Open. 3(1). sgac001–sgac001. 16 indexed citations
3.
Bowker, Nicholas, Stephen Burgess, Christopher N. Foley, et al.. (2021). Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region. Diabetes. 70(11). 2706–2719. 16 indexed citations
4.
Bowker, Nicholas, Rupal Shah, Stephen J. Sharp, et al.. (2020). Meta-analysis investigating the role of interleukin-6 mediated inflammation in type 2 diabetes. EBioMedicine. 61. 103062–103062. 73 indexed citations
5.
Mokrosiński, Jacek, Li C, Jian’an Luan, et al.. (2020). Human gain-of-function MC4R variants show signaling bias and protect against obesity. Yearbook of pediatric endocrinology. 3 indexed citations
6.
Lotta, Luca A., Jacek Mokrosiński, Edson Mendes de Oliveira, et al.. (2019). Human Gain-of-Function MC4R Variants Show Signaling Bias and Protect against Obesity. Cell. 177(3). 597–607.e9. 182 indexed citations
7.
Lotta, Luca A., Laura B. L. Wittemans, Verena Zuber, et al.. (2018). Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors. JAMA. 320(24). 2553–2553. 141 indexed citations
8.
Lotta, Luca A., Isobel D. Stewart, Stephen J. Sharp, et al.. (2018). Association of Genetically Enhanced Lipoprotein Lipase–Mediated Lipolysis and Low-Density Lipoprotein Cholesterol–Lowering Alleles With Risk of Coronary Disease and Type 2 Diabetes. JAMA Cardiology. 3(10). 957–957. 59 indexed citations
9.
Bowker, Nicholas, Muneeb Salie, Haiko Schurz, et al.. (2016). Polymorphisms in the Pattern Recognition Receptor Mincle Gene (CLEC4E) and Association with Tuberculosis. Lung. 194(5). 763–767. 18 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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