Natalie Webster

1.9k total citations · 1 hit paper
6 papers, 407 citations indexed

About

Natalie Webster is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Natalie Webster has authored 6 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Oncology. Recurrent topics in Natalie Webster's work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (2 papers) and RNA and protein synthesis mechanisms (2 papers). Natalie Webster is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (2 papers) and RNA and protein synthesis mechanisms (2 papers). Natalie Webster collaborates with scholars based in United Kingdom, Italy and Japan. Natalie Webster's co-authors include Alan G. Hendrick, Byron Andrews, Luca Pandolfini, Andrew J. Bannister, Rossella Brandi, Samuel C. Robson, Pierre Murat, Tony Kouzarides, Shankar Balasubramanian and Valentina Migliori and has published in prestigious journals such as Molecular Cell, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Natalie Webster

5 papers receiving 405 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation

2019 349 citations Luca Pandolfini, Isaia Barbieri et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalie Webster United Kingdom	5	374	246	32	13	12	6	407
Jinze Shen China	10	220 0.6×	179 0.7×	35 1.1×	34 2.6×	9 0.8×	26	274
Bingluo Zhou China	9	207 0.6×	106 0.4×	70 2.2×	23 1.8×	16 1.3×	11	293
Paraskevi Karousi Greece	11	252 0.7×	234 1.0×	46 1.4×	14 1.1×	9 0.8×	20	324
Alexandra Schurer United States	6	250 0.7×	106 0.4×	43 1.3×	5 0.4×	13 1.1×	11	319
Vahid Khoddami United States	7	651 1.7×	308 1.3×	28 0.9×	5 0.4×	8 0.7×	8	677
Minjun Du China	8	275 0.7×	218 0.9×	25 0.8×	31 2.4×	19 1.6×	18	313
Pengchao Li China	9	307 0.8×	242 1.0×	21 0.7×	20 1.5×	38 3.2×	15	344
Michael Boice United States	5	173 0.5×	132 0.5×	33 1.0×	11 0.8×	6 0.5×	6	237
Ahmet Arslan Türkiye	9	258 0.7×	199 0.8×	38 1.2×	16 1.2×	14 1.2×	14	322

Countries citing papers authored by Natalie Webster

Since Specialization

Citations

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

Fields of papers citing papers by Natalie Webster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Webster

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

All Works

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6 of 6 papers shown

1.

Zhang, Han, Francisco Campos‐Laborie, Natalie Webster, et al.. (2024). THUMPD3 regulates alternative splicing of ECM transcripts in human lung cancer cells and promotes proliferation and migration. PLoS ONE. 19(12). e0314655–e0314655.

2.

Yankova, Eliza, M. S. Vijayabaskar, Tomoya Isobe, et al.. (2023). Pharmacological inhibition of METTL3 impacts specific haematopoietic lineages. Leukemia. 37(10). 2133–2137. 15 indexed citations

3.

Valentini, Paola, Elsa Zacco, Damiano Mangoni, et al.. (2022). Towards SINEUP-based therapeutics: Design of an in vitro synthesized SINEUP RNA. Molecular Therapy — Nucleic Acids. 27. 1092–1102. 7 indexed citations

4.

Bueno-Costa, Alberto, David Piñeyro, Carlos A. García‐Prieto, et al.. (2022). Remodeling of the m6A RNA landscape in the conversion of acute lymphoblastic leukemia cells to macrophages. Leukemia. 36(8). 2121–2124. 8 indexed citations

5.

Pandolfini, Luca, Isaia Barbieri, Andrew J. Bannister, et al.. (2019). METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation. Molecular Cell. 74(6). 1278–1290.e9. 349 indexed citations breakdown →

6.

Ahmed, Saleh A., Andrew Ayscough, Richard Davenport, et al.. (2017). 1,2,4-Triazolo-[1,5-a]pyridine HIF Prolylhydroxylase Domain-1 (PHD-1) Inhibitors With a Novel Monodentate Binding Interaction. Journal of Medicinal Chemistry. 60(13). 5663–5672. 28 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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