Katherine Newling

534 total citations
17 papers, 279 citations indexed

About

Katherine Newling is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Katherine Newling has authored 17 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Katherine Newling's work include Research on Leishmaniasis Studies (4 papers), Trypanosoma species research and implications (4 papers) and Epigenetics and DNA Methylation (2 papers). Katherine Newling is often cited by papers focused on Research on Leishmaniasis Studies (4 papers), Trypanosoma species research and implications (4 papers) and Epigenetics and DNA Methylation (2 papers). Katherine Newling collaborates with scholars based in United Kingdom, United States and Canada. Katherine Newling's co-authors include Thomas S Andrews, Jodie Davies-Thompson, Vincent Geoghegan, Jeremy C. Mottram, Carolina Moura Costa Catta‐Preta, Pegine B. Walrad, S. Gennari, Gina F. Humphreys, Juliana B. T. Carnielli and Peter D. Ashton and has published in prestigious journals such as Nature Communications, New Phytologist and Cerebral Cortex.

In The Last Decade

Katherine Newling

14 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Newling United Kingdom 10 114 94 92 45 31 17 279
Dirk Motzkus Germany 13 311 2.7× 21 0.2× 36 0.4× 25 0.6× 24 0.8× 16 595
Cristian Valencia United States 7 163 1.4× 69 0.7× 61 0.7× 12 0.3× 6 0.2× 12 383
S. MacRae Canada 10 59 0.5× 56 0.6× 40 0.4× 14 0.3× 6 0.2× 32 402
Cullen Roth United States 8 153 1.3× 13 0.1× 65 0.7× 30 0.7× 9 0.3× 15 278
Huma Asif United States 11 191 1.7× 10 0.1× 18 0.2× 14 0.3× 8 0.3× 25 335
Jaeho Seol South Korea 13 664 5.8× 19 0.2× 91 1.0× 116 2.6× 21 0.7× 19 888
Eva Doleželová Czechia 9 159 1.4× 57 0.6× 98 1.1× 8 0.2× 1 0.0× 18 453
Mari Nakanishi Japan 11 116 1.0× 51 0.5× 13 0.1× 36 0.8× 20 0.6× 24 349
Sarah K. Lawson United States 11 224 2.0× 8 0.1× 35 0.4× 32 0.7× 9 0.3× 16 398
Amelia H. Osborn Australia 13 307 2.7× 139 1.5× 140 1.5× 72 1.6× 17 544

Countries citing papers authored by Katherine Newling

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Newling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Newling

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

All Works

17 of 17 papers shown
1.
Newling, Katherine, et al.. (2026). Parallel evolution of plant alkaloid biosynthesis from bacterial‐like decarboxylases. New Phytologist. 249(6). 2954–2973.
2.
Ortega, Sara Franco, Sally James, Katherine Newling, et al.. (2025). Fraxinus excelsior updated long-read genome reveals the importance of MADS-box genes in tolerance mechanisms against ash dieback. G3 Genes Genomes Genetics. 15(5). 1 indexed citations
3.
Eljounaidi, Kaouthar, Caragh Whitehead, Elizabeth Radley, et al.. (2025). Discovery and characterisation of terpenoid biosynthesis enzymes from Daphniphyllum macropodum. BMC Plant Biology. 25(1). 483–483.
4.
Wilson, Rosemary H. C., et al.. (2023). Epigenetic instability caused by absence of CIZ1 drives transformation during quiescence cycles. BMC Biology. 21(1). 175–175. 1 indexed citations
5.
James, Sally, Katherine Newling, Yi Li, et al.. (2023). Whole genome structural predictions reveal hidden diversity in putative oxidative enzymes of the lignocellulose-degrading ascomycete Parascedosporium putredinis NO1. Microbiology Spectrum. 11(6). e0103523–e0103523. 5 indexed citations
6.
Jones, Nathaniel G., Vincent Geoghegan, Juliana B. T. Carnielli, et al.. (2022). Bromodomain factor 5 is an essential regulator of transcription in Leishmania. Nature Communications. 13(1). 4071–4071. 9 indexed citations
7.
Baker, Nicola, Carolina Moura Costa Catta‐Preta, Jovana Sádlová, et al.. (2021). Systematic functional analysis of Leishmania protein kinases identifies regulators of differentiation or survival. Nature Communications. 12(1). 1244–1244. 68 indexed citations
8.
Damianou, Andreas, Carolina Moura Costa Catta‐Preta, Vincent Geoghegan, et al.. (2020). Essential roles for deubiquitination in Leishmania life cycle progression. PLoS Pathogens. 16(6). e1008455–e1008455. 33 indexed citations
9.
Hewitson, James P., Kunal Shah, Najmeeyah Brown, et al.. (2019). miR‐132 suppresses transcription of ribosomal proteins to promote protective Th1 immunity. EMBO Reports. 20(4). 13 indexed citations
10.
Stewart, Emma, Robert M. Turner, Katherine Newling, et al.. (2019). Maintenance of epigenetic landscape requires CIZ1 and is corrupted in differentiated fibroblasts in long-term culture. Nature Communications. 10(1). 460–460. 8 indexed citations
11.
Pablos, Luis Miguel De, Tiago Rodrigues Ferreira, Adam Dowle, et al.. (2019). The mRNA-bound Proteome of Leishmania mexicana: Novel Genetic Insight into an Ancient Parasite. Molecular & Cellular Proteomics. 18(7). 1271–1284. 24 indexed citations
12.
Chisholm, David R., Rebecca Lamb, Valerie Affleck, et al.. (2019). Photoactivated cell-killing involving a low molecular weight, donor–acceptor diphenylacetylene. Chemical Science. 10(17). 4673–4683. 15 indexed citations
13.
Chisholm, David R., Charles W.E. Tomlinson, Valerie Affleck, et al.. (2019). Fluorescent Retinoic Acid Analogues as Probes for Biochemical and Intracellular Characterization of Retinoid Signaling Pathways. ACS Chemical Biology. 14(3). 369–377. 16 indexed citations
15.
Li, Xiaohong, Ricardo DeMarco, Leandro Xavier Neves, et al.. (2018). Microexon gene transcriptional profiles and evolution provide insights into blood processing by the Schistosoma japonicum esophagus. PLoS neglected tropical diseases. 12(2). e0006235–e0006235. 14 indexed citations
16.
Humphreys, Gina F., et al.. (2013). Motion and actions in language: Semantic representations in occipito-temporal cortex. Brain and Language. 125(1). 94–105. 24 indexed citations
17.
Davies-Thompson, Jodie, Katherine Newling, & Thomas S Andrews. (2012). Image-Invariant Responses in Face-Selective Regions Do Not Explain the Perceptual Advantage for Familiar Face Recognition. Cerebral Cortex. 23(2). 370–377. 29 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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