Jane Bond

51 papers receiving 1.9k citations

Peers

Jane Bond
Comparison fields: 5 of 91
  • Aging 88
  • Oncology 614
  • Physiology 576
  • Endocrinology, Diabetes and Metabolism 308
  • Nutrition and Dietetics 288
Replace Jeff L. Ellsworth with:
Jeff L. Ellsworth United States
Kiki Chu United States
Cécile Ged France
Christine Lohmann Switzerland
Elena Ansó Spain
Sadayuki Hiroi Japan
Shunlin Ren United States
Manfred Hergenhahn Germany
Jae-Ryong Kim South Korea
Ying Du China
Jane Bond relative to Jeff L. Ellsworth United States Jeff L. Ellsworth's profile →
Citations per field
00.5×3.9×
Jeff L. Ellsworth · 1×
Citations per year

Countries citing papers authored by Jane Bond

Since Specialization
Citations

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

Fields of papers citing papers by Jane Bond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990237
2 2000150
3 1997122
4
Evidence that transcriptional activation by p53 plays a direct role in the induction of cellular senescence.
1996118
5 1991105
6 1998101
7 200391
8 199988
9
Mutation of the p53 gene in a differentiated human thyroid carcinoma cell line, but not in primary thyroid tumours.
199172
10
Mutant p53 rescues human diploid cells from senescence without inhibiting the induction of SDI1/WAF1.
199569
11 200068
12 200463
13 199153
14 199538
15 200337
16
Partial transformation of human thyroid epithelial cells by mutant Ha-ras oncogene.
199037
17 199134
18 199333
19 199232
20 199029

About Jane Bond

Jane Bond is a scholar working on Molecular Biology, Oncology, Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (23 papers), Telomeres, Telomerase, and Senescence (7 papers), Adipose Tissue and Metabolism (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Muscle metabolism and nutrition (5 papers), Cancer Research and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Aging (88 citations), Oncology (614 citations), Physiology (576 citations), Endocrinology, Diabetes and Metabolism (308 citations) and Nutrition and Dietetics (288 citations). Jane Bond has collaborated with scholars based in United Kingdom, France and Brazil. Frequent co-authors include David Wynford‐Thomas, Eric A. Newsholme, Philip C. Calder, Fiona S. Wyllie, Jeremy P. Blaydes, Michele F. Haughton, Christopher J. Jones, David J. Harvey, Siamon Gordon and Mircea Ivan. Their work appears in journals such as Molecular Carcinogenesis, Molecular and Cellular Biology, Biochemical Society Transactions, Oncogene and Biochemical Journal.

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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