Brian Hampton

2.0k citations
36 papers · 1.7k · h-index 20

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Glycosylation and Glycoproteins Research 4
    • Pancreatic function and diabetes 5

Brian Hampton

36 papers receiving 1.6k citations

Peers

Brian Hampton
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 539
  • Immunology and Allergy 137
  • Cancer Research 320
  • Cell Biology 345
  • Molecular Biology 1.0k
Replace Karin Mellström with:
Karin Mellström United States
Anthony Valentijn United Kingdom
Hua Lu United States
Kristin F. Wilson United States
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Samantha R. Oakes Australia
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Citations per field
00.5×4.6×
Karin Mellström · 1×
Citations per year

Countries citing papers authored by Brian Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin-like growth factor receptor expression and function in human breast cancer.
1990276
2
Insulin-like growth factor II mRNA expression in human breast cancer.
1988223
3 1993103
4 1998102
5 199492
6 199280
7 198778
8 200674
9 201367
10 200256
11 198854
12 201144
13 199544
14 199242
15 201840
16 199134
17 199134
18 198932
19 199925
20 201622

About Brian Hampton

Brian Hampton is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Oncology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Peptidase Inhibition and Analysis (5 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (539 citations), Immunology and Allergy (137 citations), Cancer Research (320 citations), Cell Biology (345 citations) and Molecular Biology (1.0k citations). Brian Hampton has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Wilson H. Burgess, James F. Perdue, Kevin J. Cullen, Marc E. Lippman, Douglas Yee, Neal Rosen, William S. Sly, D R Marshak, Jeffrey A. Winkles and Patrick J. Donohue. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Endocrinology, Journal of Vascular Surgery and Nature Methods.

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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