James Lipscombe

798 total citations
8 papers, 82 citations indexed

About

James Lipscombe is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James Lipscombe has authored 8 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in James Lipscombe's work include Single-cell and spatial transcriptomics (2 papers), COVID-19 and healthcare impacts (1 paper) and Autophagy in Disease and Therapy (1 paper). James Lipscombe is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), COVID-19 and healthcare impacts (1 paper) and Autophagy in Disease and Therapy (1 paper). James Lipscombe collaborates with scholars based in United Kingdom and Hungary. James Lipscombe's co-authors include Iain C. Macaulay, Laura Mincarelli, Noel Ellis, Carol Moreau, M. R. Knox, David Baker, Elisabet Alacid, Karim Gharbi, David Swarbreck and Thomas A. Richards and has published in prestigious journals such as PLoS Genetics, PROTEOMICS and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

James Lipscombe

8 papers receiving 81 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Lipscombe United Kingdom 4 60 15 12 11 9 8 82
Eva K. Nichols United States 3 76 1.3× 6 0.4× 3 0.3× 16 1.5× 8 0.9× 5 96
Saurav Singh India 6 135 2.3× 16 1.1× 4 0.3× 13 1.2× 16 1.8× 7 166
Yaarub Musa Germany 5 110 1.8× 32 2.1× 11 0.9× 7 0.6× 1 0.1× 5 149
Laura Langton United States 3 68 1.1× 16 1.1× 6 0.5× 4 0.4× 2 0.2× 3 79
Andrew Lu United States 5 94 1.6× 9 0.6× 15 1.3× 3 0.3× 3 0.3× 5 108
David Kuster Germany 5 133 2.2× 30 2.0× 15 1.3× 10 0.9× 7 175
Rongqin Zhang China 5 43 0.7× 9 0.6× 2 0.2× 16 1.5× 5 0.6× 8 87
Marija Veličković United States 7 73 1.2× 12 0.8× 8 0.7× 2 0.2× 11 1.2× 18 117
Ranya Virk United States 5 99 1.6× 17 1.1× 5 0.4× 23 2.1× 16 1.8× 10 115
Laetitia Meng-Papaxanthos Switzerland 6 90 1.5× 13 0.9× 3 0.3× 4 0.4× 9 1.0× 8 124

Countries citing papers authored by James Lipscombe

Since Specialization
Citations

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

Fields of papers citing papers by James Lipscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Lipscombe

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

All Works

8 of 8 papers shown
1.
Tomoaia, Raluca, Ahmed Merghani, Efstathios Papatheodorou, et al.. (2025). Sex-based differences in masters athletes: insights from CPET and cardiac MRI analysis. European Journal of Preventive Cardiology. 32(Supplement_1). 1 indexed citations
2.
Turner, Stephen, Earl Smith, Laura Mincarelli, et al.. (2024). Single cell RNA-sequencing and RNA-tomography of the avian embryo extending body axis. Frontiers in Cell and Developmental Biology. 12. 1382960–1382960. 1 indexed citations
3.
McGowan, Jamie, Estelle Kilias, Elisabet Alacid, et al.. (2023). Identification of a non-canonical ciliate nuclear genetic code where UAA and UAG code for different amino acids. PLoS Genetics. 19(10). e1010913–e1010913. 8 indexed citations
4.
Demeter, Amanda, Anne‐Claire Jacomin, Lejla Gul, et al.. (2022). Computational prediction and experimental validation of Salmonella Typhimurium SopE-mediated fine-tuning of autophagy in intestinal epithelial cells. Frontiers in Cellular and Infection Microbiology. 12. 834895–834895. 3 indexed citations
5.
Chin, Jeannette, Kirsty L. Culley, Rose K. Davidson, et al.. (2021). Phase 2 of the Norwich COVID-19 testing initiative: an evaluation. Journal of Public Health. 43(4). e749–e750. 1 indexed citations
6.
Hautefort, Isabelle, Agatha Treveil, Attila Demeter, et al.. (2020). P071 Studying the effects of the probiotic bifidobacteria on gut health and intestinal epithelial cells function. Journal of Crohn s and Colitis. 14(Supplement_1). S171–S171. 2 indexed citations
7.
Mincarelli, Laura, et al.. (2018). Defining Cell Identity with Single‐Cell Omics. PROTEOMICS. 18(18). e1700312–e1700312. 53 indexed citations
8.
Knox, M. R., Carol Moreau, James Lipscombe, David Baker, & Noel Ellis. (2009). High-throughput retrotransposon-based fluorescent markers: improved information content and allele discrimination. Plant Methods. 5(1). 10–10. 13 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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