Ruth March

5.6k total citations · 2 hit papers
29 papers, 2.1k citations indexed

About

Ruth March is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Ruth March has authored 29 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Ruth March's work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (4 papers) and Genomics and Rare Diseases (3 papers). Ruth March is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (4 papers) and Genomics and Rare Diseases (3 papers). Ruth March collaborates with scholars based in United Kingdom, United States and Sweden. Ruth March's co-authors include Paul Morgan, Menelas N. Pangalos, David Cook, Dearg S. Brown, Robert Alexander, Helen Ambrose, Raeanne C. Moore, Yu Chen, Dennis W. Schneck and Julie Zalikowski and has published in prestigious journals such as Nature Reviews Drug Discovery, Cancer Research and Scientific Reports.

In The Last Decade

Ruth March

29 papers receiving 2.0k citations

Hit Papers

Lessons learned from the fate of AstraZeneca's drug pipel... 2014 2026 2018 2022 2014 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth March United Kingdom 14 567 359 300 280 276 29 2.1k
Federico Goodsaid United States 25 1.1k 2.0× 224 0.6× 227 0.8× 187 0.7× 117 0.4× 60 2.3k
Paul Morgan United Kingdom 15 662 1.2× 447 1.2× 135 0.5× 431 1.5× 105 0.4× 24 2.3k
Vikram Sinha United States 27 469 0.8× 157 0.4× 170 0.6× 460 1.6× 422 1.5× 76 2.4k
Simon Zhou United States 22 754 1.3× 283 0.8× 310 1.0× 165 0.6× 108 0.4× 71 2.5k
Ivan Nestorov United States 30 463 0.8× 161 0.4× 623 2.1× 335 1.2× 93 0.3× 88 2.5k
Michael Hay Australia 3 561 1.0× 289 0.8× 146 0.5× 104 0.4× 87 0.3× 7 1.7k
Alexander Staab Germany 23 445 0.8× 121 0.3× 174 0.6× 175 0.6× 138 0.5× 54 2.0k
Lydie Meheus Belgium 24 1.2k 2.0× 154 0.4× 321 1.1× 67 0.2× 84 0.3× 50 2.3k
Ellen M. McDonagh United States 22 1.0k 1.8× 303 0.8× 235 0.8× 837 3.0× 141 0.5× 35 2.9k
Craig D. Wegner United States 24 857 1.5× 142 0.4× 1.1k 3.8× 83 0.3× 257 0.9× 54 3.4k

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-authorship network of co-authors of Ruth March

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

All Works

20 of 20 papers shown
1.
Lemmelä, Susanna, Eleanor M. Wigmore, Christian Benner, et al.. (2022). Integrated analyses of growth differentiation factor-15 concentration and cardiometabolic diseases in humans. eLife. 11. 14 indexed citations
2.
Clausen, Maryam, Rebecca Halpin, Kang Cai, et al.. (2021). A novel automated SARS-CoV-2 saliva PCR test protects a global asymptomatic workforce. Scientific Reports. 11(1). 12676–12676. 1 indexed citations
3.
Hollis, Robert L., Alison Meynert, Michael Churchman, et al.. (2019). Abstract 749: Multi-layer molecular characterization of high grade serous ovarian carcinomas. 749–749. 1 indexed citations
4.
Morgan, Paul, Dean G. Brown, Simon Lennard, et al.. (2018). Impact of a five-dimensional framework on R&D productivity at AstraZeneca. Nature Reviews Drug Discovery. 17(3). 167–181. 271 indexed citations breakdown →
5.
Cook, David, Dearg S. Brown, Robert Alexander, et al.. (2014). Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework. Nature Reviews Drug Discovery. 13(6). 419–431. 891 indexed citations breakdown →
6.
March, Ruth. (2010). DElivering on The Promise of Personalized Healthcare. Personalized Medicine. 7(3). 327–337. 11 indexed citations
7.
Alfirevic, Ana, Tracy Mills, Pauline Harrington, et al.. (2006). Serious carbamazepine-induced hypersensitivity reactions associated with the HSP70 gene cluster. Pharmacogenetics and Genomics. 16(4). 287–296. 46 indexed citations
8.
Lee, Eminy H.Y., S RYAN, Bruce K. Birmingham, et al.. (2005). Rosuvastatin pharmacokinetics and pharmacogenetics in white and Asian subjects residing in the same environment. Clinical Pharmacology & Therapeutics. 78(4). 330–341. 372 indexed citations
9.
Zhao, Jing Hua, et al.. (2005). Selecting cases from nuclear families for case-control association analysis. BMC Genetics. 6(S1). S105–S105. 5 indexed citations
10.
Gladwin, Amanda J., et al.. (2005). Automation and validation of DNA-banking systems. Drug Discovery Today. 10(20). 1369–1375. 9 indexed citations
11.
Gibson, Neil, et al.. (2005). Novel Technology and the Development of Pharmacogenetics within the Pharmaceutical Industry. Pharmacogenomics. 6(4). 339–356. 7 indexed citations
12.
Brown, Matthew A., Kevin D. Pile, L G Kennedy, et al.. (2004). A genome-wide screen for susceptibility loci in ankylosing spondylitis. Arthritis & Rheumatism. 41(4). 588–595. 73 indexed citations
13.
March, Ruth. (2003). Gene Ordering and Localization by Linkage Analysis. Humana Press eBooks. 68. 27–44. 1 indexed citations
14.
Peacock, Christopher S., Carani B. Sanjeevi, M.‐A. Shaw, et al.. (2002). Genetic analysis of multicase families of visceral leishmaniasis in northeastern Brazil: no major role for class II or class III regions of HLA. Genes and Immunity. 3(6). 350–358. 25 indexed citations
15.
Holdgate, Geoffrey A., et al.. (2001). Kinetics of inhibition of HMG-CoA reductase by a new statin, rosuvastatin. Atherosclerosis Supplements. 2(2). 88–88. 8 indexed citations
16.
Jenkins, Suzanne, Ruth March, R. Duncan Campbell, & Caroline M. Milner. (2000). A novel variant of the MHC‐linked hsp70, hsp70‐hom, is associated with rheumatoid arthritis. Tissue Antigens. 56(1). 38–44. 22 indexed citations
17.
March, Ruth. (2000). Pharmacogenomics: The Genomics of Drug Response. Yeast. 1(1). 16–21. 33 indexed citations
18.
March, Ruth. (2000). Pharmacogenomics: The Genomics of Drug Response. Yeast. 1(1). 16–21. 3 indexed citations
19.
March, Ruth. (1999). Gene Mapping by Linkage and Association Analysis. Molecular Biotechnology. 13(2). 113–122. 18 indexed citations
20.
Jordan, W. K., et al.. (1959). INTRACELLULAR PARTITION OF PURINE DEAMINASES IN RODENT BRAIN*. Journal of Neurochemistry. 4(2). 170–174. 11 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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