B Noble

5.6k citations
98 papers · 4.3k · h-index 36

Impact in

Papers in

    • Bone Metabolism and Diseases 15
    • Cell death mechanisms and regulation 6
    • Renal Diseases and Glomerulopathies 17

B Noble

97 papers receiving 4.1k citations

Peers

B Noble
Comparison fields: 5 of 146
  • Orthopedics and Sports Medicine 1.1k
  • Nephrology 302
  • Oncology 739
  • Molecular Biology 1.9k
  • Immunology and Allergy 145
Replace Colin Farquharson with:
Colin Farquharson United Kingdom
Graham R. Williams United Kingdom
Bram C. J. van der Eerden Netherlands
Harry C. Blair United States
Toshihiko Yamashita Japan
N. Loveridge United Kingdom
Kurt D. Hankenson United States
Timothy R. Arnett United Kingdom
Luc Malaval France
Satoru K. Nishimoto United States
B Noble relative to Colin Farquharson United Kingdom Colin Farquharson's profile →
Citations per field
00.5×1.5×
Colin Farquharson · 1×
Citations per year

Countries citing papers authored by B Noble

Since Specialization
Citations

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

Fields of papers citing papers by B Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997300
2 2003268
3 1988224
4 1998223
5 1997178
6 2012161
7 2006154
8 2000153
9 2008152
10 2003126
11 2003118
12 2008113
13 2006108
14 198596
15 200494
16 200693
17 201189
18
The influence of mechanical stimulation on osteocyte apoptosis and bone viability in human trabecular bone.
200781
19 199678
20 199976

About B Noble

B Noble is a scholar working on Molecular Biology, Nephrology, Oncology, Immunology and Genetics, having authored 98 papers that have together received 4.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (17 papers), Bone Metabolism and Diseases (15 papers), Bone health and treatments (11 papers), Bone health and osteoporosis research (9 papers), Estrogen and related hormone effects (6 papers), Cell death mechanisms and regulation (6 papers), Diabetes and associated disorders (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.1k citations), Nephrology (302 citations), Oncology (739 citations), Molecular Biology (1.9k citations) and Immunology and Allergy (145 citations). B Noble has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. Reeve, Giolanta Kogianni, Hazel Y. Stevens, Hamish Simpson, Val Mann, N. Loveridge, Robert W. Shaw, C. H. Gray, D. F. Houlihan and Stephen J. Hall. Their work appears in journals such as Bone, Archives of Oral Biology, Experimental Biology and Medicine, Antioxidants and Journal of Bone and Mineral 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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