J. Beacham

1.0k citations
16 papers · 802 · h-index 12

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Bone Metabolism and Diseases 2
    • S100 Proteins and Annexins 1
    • Pancreatic function and diabetes 3

J. Beacham

16 papers receiving 780 citations

Peers

J. Beacham
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 295
  • Endocrinology, Diabetes and Metabolism 211
  • Endocrine and Autonomic Systems 56
  • Surgery 227
  • Cardiology and Cardiovascular Medicine 112
Replace Erkki Ilveskoski with:
Erkki Ilveskoski Finland
Eiko Takeshita Japan
Gudmar Lundqvist Sweden
Taihei Imai Japan
L. Kerp Germany
Liliana G. Bianciotti Argentina
Martin J. Bek Germany
Nozomi Fukai Japan
Thomas Seck Germany
S. Sugo Japan
J. Beacham relative to Erkki Ilveskoski Finland Erkki Ilveskoski's profile →
Citations per field
00.5×3.0×
Erkki Ilveskoski · 1×
Citations per year

Countries citing papers authored by J. Beacham

Since Specialization
Citations

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

Fields of papers citing papers by J. Beacham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1986181
2 1987114
3 198992
4 198873
5 199069
6 199059
7 199050
8 199245
9 199433
10 199124
11 198922
12 199217
13 19909
14
Patterns of serum alkaline phosphatase activity in unilateral hepatic duct obstruction: a clinical and experimental study.
19908
15 19853
16 19903

About J. Beacham

J. Beacham is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 802 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Heart Failure Treatment and Management (2 papers), Bone Metabolism and Diseases (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (295 citations), Endocrinology, Diabetes and Metabolism (211 citations), Endocrine and Autonomic Systems (56 citations), Surgery (227 citations) and Cardiology and Cardiovascular Medicine (112 citations). J. Beacham has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include I. MacIntyre, M.A. Ghatei, Stephen R. Bloom, S. G. Gilbey, Mone Zaidi, Allan D. Struthers, John C. Stevenson, David W. Macdonald, Howard R. Morris and Matthew A. Brown. Their work appears in journals such as Clinical Science, Diabetologia, Biochemical and Biophysical Research Communications, American Journal of Obstetrics and Gynecology and British Journal of Clinical Pharmacology.

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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