Emma M. Large

722 citations
6 papers · 592 · h-index 6

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation

Papers in

    • Drug Transport and Resistance Mechanisms 2
    • Drug-Induced Hepatotoxicity and Protection 3
    • Pharmacogenetics and Drug Metabolism 3

Emma M. Large

6 papers receiving 565 citations

Peers

Emma M. Large
Comparison fields: 5 of 71
  • Hepatology 189
  • Biomedical Engineering 364
  • Pharmacology 59
  • Epidemiology 106
  • Cellular and Molecular Neuroscience 52
Replace David Hughes with:
David Hughes United States
Eric Novik United States
Marko Gröger Germany
Nina Senutovitch United States
Dagmara Szkolnicka United Kingdom
Zahra Heydari Iran
Patrice N. Mimche United States
Giuseppe Pettinato United States
Susan Abu-Absi United States
Siddhartha Rawat United States
Emma M. Large relative to David Hughes United States David Hughes's profile →
Citations per field
00.5×1.5×
David Hughes · 1×
Citations per year

Countries citing papers authored by Emma M. Large

Since Specialization
Citations

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

Fields of papers citing papers by Emma M. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma M. Large. 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 Emma M. Large. The network helps show where Emma M. Large may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2018190
2 2017134
3 2017109
4 201574
5 201757
6 201728

About Emma M. Large

Emma M. Large is a scholar working on Oncology, Pharmacology, Epidemiology, Biomedical Engineering and Surgery, having authored 6 papers that have together received 592 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), 3D Printing in Biomedical Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis B Virus Studies (1 paper), Hepatitis C virus research (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Hepatology (189 citations), Biomedical Engineering (364 citations), Pharmacology (59 citations), Epidemiology (106 citations) and Cellular and Molecular Neuroscience (52 citations). Emma M. Large has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include David Hughes, Linda G. Griffith, Cliff Rowe, Tomasz Kostrzewski, Maria Teresa Catanese, Jessica Katy Skelton, Marion Lussignol, Sun Nyunt Wai, Mark Thursz and Gema Vizcay‐Barrena. Their work appears in journals such as Drug Metabolism and Disposition, Biotechnology and Bioengineering, Toxicology in Vitro, Nature Communications and World Journal of Gastroenterology.

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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