Mary E. Lancaster

913 citations
11 papers · 786 · h-index 10

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Calcium signaling and nucleotide metabolism
  • Surgery top 10%
    • Pancreatic function and diabetes

Papers in

    • Metabolism, Diabetes, and Cancer 2
    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 2
    • Pancreatic function and diabetes 5

Mary E. Lancaster

11 papers receiving 749 citations

Peers

Mary E. Lancaster
Comparison fields: 5 of 89
  • Physiology 73
  • Surgery 332
  • General Decision Sciences 15
  • Sensory Systems 29
  • Molecular Biology 410
Replace C M Dawson with:
C M Dawson United Kingdom
T. David Johnson United States
Mona M. McConnaughey United States
Mike Parsons United Kingdom
Susan R. George Canada
James Wager‐Miller United States
Maria R. Depaoli Austria
S. R. Nahorski United Kingdom
Qi Cheng Australia
Lucas Taoro‐González Spain
Mary E. Lancaster relative to C M Dawson United Kingdom C M Dawson's profile →
Citations per field
00.5×6.3×
C M Dawson · 1×
Citations per year

Countries citing papers authored by Mary E. Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Lancaster. 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 Mary E. Lancaster. The network helps show where Mary E. Lancaster may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1994127
2 1996112
3 199397
4 199880
5 200479
6 199978
7 199466
8 200153
9 199451
10 200635
11 20048

About Mary E. Lancaster

Mary E. Lancaster is a scholar working on Molecular Biology, Surgery, Physiology, Cellular and Molecular Neuroscience and Pharmacology, having authored 11 papers that have together received 786 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Ion channel regulation and function (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Physiology (73 citations), Surgery (332 citations), General Decision Sciences (15 citations), Sensory Systems (29 citations) and Molecular Biology (410 citations). Mary E. Lancaster has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jennings F. Worley, Iain Dukes, Michael W. Roe, Robert J. Mertz, Andrey Kuznetsov, Louis H. Philipson, Mark Paulik, James M. Lenhard, Judi Wakeley and Robert D. Rogers. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Psychopharmacology and Pharmaceutical Research.

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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