ML Orme

1.1k citations
18 papers · 947 · h-index 14

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Antibiotics Pharmacokinetics and Efficacy

Papers in

ML Orme

18 papers receiving 844 citations

Peers

ML Orme
Comparison fields: 5 of 93
  • Pharmacology 341
  • Pharmaceutical Science 70
  • Public Health, Environmental and Occupational Health 290
  • Oncology 244
  • Pediatrics, Perinatology and Child Health 166
Replace DJ Back with:
DJ Back United Kingdom
Hugo Th. Heidemann Germany
HJ Rogers United Kingdom
Peter R. Jackson United Kingdom
Ann K. Miller United States
Nestor Spannbrucker Germany
I Bekersky United States
Lisa M. Almond United Kingdom
Claire Souppart Switzerland
Moohi Yoo South Korea
ML Orme relative to DJ Back United Kingdom DJ Back's profile →
Citations per field
00.5×1.5×1.8×
DJ Back · 1×
Citations per year

Countries citing papers authored by ML Orme

Since Specialization
Citations

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

Fields of papers citing papers by ML Orme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside ML Orme, 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 ML Orme Line = papers co-authored together ML Orme links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1984144
2 1989131
3 1987102
4 198891
5 198589
6 198981
7 198555
8 198754
9 198351
10 197835
11 198131
12 198725
13 198216
14 198515
15 198612
16 198210
17 19803
18 19862

About ML Orme

ML Orme is a scholar working on Pharmacology, Pharmacology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Analytical Chemistry, having authored 18 papers that have together received 947 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Drug Transport and Resistance Mechanisms (4 papers), Adrenal Hormones and Disorders (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Pharmaceutical studies and practices (3 papers), Diet and metabolism studies (3 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Pharmacology (341 citations), Pharmaceutical Science (70 citations), Public Health, Environmental and Occupational Health (290 citations), Oncology (244 citations) and Pediatrics, Perinatology and Child Health (166 citations). ML Orme has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include AM Breckenridge, Stephen Andrew Ward, DJ Back, GW Mihaly, Geoffrey Edwards, PA Winstanley, BK Park, G. Edwards, J.L. Maggs and David J. Back. Their work appears in journals such as British Journal of Clinical Pharmacology.

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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