Ruth March

5.8k citations
29 papers · 2.1k · 2 hit papers · h-index 14

Impact in

Papers in

    • Genomics and Rare Diseases 3
    • Genetic Associations and Epidemiology 3
    • Genomic variations and chromosomal abnormalities 2

Ruth March

29 papers receiving 2.0k citations

Ruth March's Hit Papers

Impact of a five-dimensional framework on R&D productivity at AstraZeneca 2018 · 278 citations
2780+4+8Years since publication250500750

Peers

Ruth March
Comparison fields: 5 of 130
  • Pharmacology 246
  • Computational Theory and Mathematics 332
  • Immunology 272
  • Rheumatology 166
  • Oncology 241
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Ruth March relative to Simon Zhou United States Simon Zhou's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Ruth March

Since Specialization
Citations

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

Fields of papers citing papers by Ruth March

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruth March, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruth March Line = papers co-authored together Ruth March links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework
Hit paper breakdown →
2014914
2 2005374
3
Impact of a five-dimensional framework on R&D productivity at AstraZeneca
Hit paper breakdown →
2018278
4 1998113
5 200473
6 199862
7 200646
8 200136
9 200033
10 200225
11 200022
12 199522
13 199918
14 202216
15 195611
16 195911
17 201011
18 20059
19 20119
20 20018

About Ruth March

Ruth March is a scholar working on Genetics, Immunology, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Computational Drug Discovery Methods (4 papers), Pharmaceutical Economics and Policy (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Spondyloarthritis Studies and Treatments (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Pharmacology (246 citations), Computational Theory and Mathematics (332 citations), Immunology (272 citations), Rheumatology (166 citations) and Oncology (241 citations). Ruth March has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Paul Morgan, Menelas N. Pangalos, Dearg S. Brown, Robert Alexander, David Cook, Julie Zalikowski, Caroline Lee, Bruce K. Birmingham, Helen Ambrose and Eminy H.Y. Lee. Their work appears in journals such as Pharmacogenomics, Nature Reviews Drug Discovery, Yeast, Pharmacogenetics and Genomics and Journal of Histochemistry & Cytochemistry.

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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