Mortimore Ge

426 citations
11 papers · 352 · h-index 8

Impact in

Papers in

    • Pancreatic function and diabetes 7
    • Autophagy in Disease and Therapy 3
    • Liver Disease Diagnosis and Treatment 2

Mortimore Ge

11 papers receiving 341 citations

Peers

Mortimore Ge
Comparison fields: 5 of 61
  • Clinical Biochemistry 55
  • Cell Biology 109
  • Biochemistry 48
  • Physiology 103
  • Physiology 17
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Philip W. Felts United States
G. L. White United Kingdom
SA Adibi United Kingdom
EDWARD H. GOODMAN United States
Jeanne B. Li United States
Catherine M. Clark United Kingdom
G.A.J. Goodlad United Kingdom
Patrícia M. Nunes Portugal
V. Jirsová Czechia
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Citations per year

Countries citing papers authored by Mortimore Ge

Since Specialization
Citations

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

Fields of papers citing papers by Mortimore Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mortimore Ge, 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 Mortimore Ge Line = papers co-authored together Mortimore Ge links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 196882
2 198771
3
Lysosomal pathways in hepatic protein degradation: regulatory role of amino acids.
198448
4 199442
5 196740
6 196735
7
Behavior of the lysosomal system during organ perfusion. An inquiry into the mechanism of hepatic proteolysis.
197615
8
Modulation of kidney cell protein degradation by insulin.
19909
9
Amino acid control of hepatic protein degradation: novel requirement for alanine.
19854
10
Studies on the fate of insulin-I131 in the perfused rat liver.
19593
11
Internalization of cytoplasmic protein by lysosomes as the mechanism of resident protein turnover in liver.
19813

About Mortimore Ge

Mortimore Ge is a scholar working on Surgery, Epidemiology, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 11 papers that have together received 352 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (3 papers), Autophagy in Disease and Therapy (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Lysosomal Storage Disorders Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (55 citations), Cell Biology (109 citations), Biochemistry (48 citations), Physiology (103 citations) and Physiology (17 citations). Mortimore Ge has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Motoni Kadowaki, A.R. Pösö, Oriano Marin, N. Siliprandi, Giovanni Miotto, Rina Venerando, Ralph Rabkin and Frank Tietze. Their work appears in journals such as American Journal of Physiology-Legacy Content, Journal of Biological Chemistry, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) and PubMed.

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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