Maria Learoyd

1.5k citations
23 papers · 1.2k · h-index 16

Impact in

Papers in

    • PARP inhibition in cancer therapy 10
    • Antibiotics Pharmacokinetics and Efficacy 5
    • Pharmacogenetics and Drug Metabolism 3

Maria Learoyd

23 papers receiving 1.2k citations

Peers

Maria Learoyd
Comparison fields: 5 of 67
  • Oncology 463
  • Molecular Medicine 105
  • Pharmacology 111
  • Pulmonary and Respiratory Medicine 227
  • Hepatology 59
Replace Júlia C.F. Quintanilha with:
Júlia C.F. Quintanilha United States
C. Barbara Italy
Matthias Ludwig Germany
Akihito Nishioka Japan
Wanqing
Scott H. Fettner Switzerland
Wilfried Grothe Germany
Manuel G. Alvarez Chile
Ting Chan Australia
Maria Learoyd relative to Júlia C.F. Quintanilha United States Júlia C.F. Quintanilha's profile →
Citations per field
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Júlia C.F. Quintanilha · 1×
Citations per year

Countries citing papers authored by Maria Learoyd

Since Specialization
Citations

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

Fields of papers citing papers by Maria Learoyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018326
2 2014128
3 2018120
4 2011119
5 2015119
6 201856
7 201343
8 201141
9 201539
10 201533
11 201730
12 201930
13 201826
14 201322
15 201819
16 202017
17 201516
18 201812
19 20198
20 20153

About Maria Learoyd

Maria Learoyd is a scholar working on Oncology, Pharmacology, Pharmacology, Pediatrics, Perinatology and Child Health and Neurology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (10 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pharmaceutical studies and practices (3 papers), Melanoma and MAPK Pathways (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Oncology (463 citations), Molecular Medicine (105 citations), Pharmacology (111 citations), Pulmonary and Respiratory Medicine (227 citations) and Hepatology (59 citations). Maria Learoyd has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Timi I. Edeki, Shampa Das, Jon M. Armstrong, James Li, Carsten Dietrich Goessl, Paweł Wiechno, Ivo Kocák, B. Yа. Alekseev, Charles H. Redfern and Fred Saad. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Cancer Chemotherapy and Pharmacology, Clinical Pharmacokinetics, The Lancet Oncology and International Journal of Antimicrobial Agents.

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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