G Calcutt

537 citations
47 papers · 380 · h-index 11

Impact in

  • Biochemistry top 10%
    • Sulfur Compounds in Biology
    • Amino Acid Enzymes and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Carcinogens and Genotoxicity Assessment

Papers in

G Calcutt

43 papers receiving 307 citations

Peers

G Calcutt
Comparison fields: 5 of 78
  • Biochemistry 70
  • Cancer Research 56
  • Process Chemistry and Technology 9
  • Molecular Biology 140
  • Pharmaceutical Science 12
Replace D. Schm�hl with:
D. Schm�hl Germany
Stuart A. Narrod United States
C.R. Ball United Kingdom
Cornelia Hoch‐Ligeti United States
Nathan H. Sloane United States
Yoshikazu Oka Japan
W. J. P. Neish United Kingdom
Erdoğan Ertürk United States
J. K. Whitehead United States
L. C. Smith United States
G Calcutt relative to D. Schm�hl Germany D. Schm�hl's profile →
Citations per field
00.5×
D. Schm�hl · 1×
Citations per year

Countries citing papers authored by G Calcutt

Since Specialization
Citations

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

Fields of papers citing papers by G Calcutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196365
2 197028
3 195928
4 195119
5 196116
6 196015
7 196215
8 196415
9 196314
10 196714
11 197213
12 196110
13 196110
14 19678
15 19548
16 19517
17 19537
18 19657
19 19546
20 19606

About G Calcutt

G Calcutt is a scholar working on Molecular Biology, Biochemistry, Organic Chemistry, Pulmonary and Respiratory Medicine and Oncology, having authored 47 papers that have together received 380 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Sulfur Compounds in Biology (5 papers), Bone health and treatments (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Molecular Sensors and Ion Detection (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biochemistry (70 citations), Cancer Research (56 citations), Process Chemistry and Technology (9 citations), Molecular Biology (140 citations) and Pharmaceutical Science (12 citations). G Calcutt has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include T.A. Connors, D. L. Doxey, Stephen J. Payne, A. Preece, Kelly Harper, W. C. J. Ross, L. A. Elson and D.H. Marshall. Their work appears in journals such as British Journal of Cancer, Nature, Biochemical Pharmacology, Die Naturwissenschaften and Journal of Experimental Biology.

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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