Jonathan Hannay

1.0k citations
17 papers · 756 · h-index 13

Impact in

  • Oncology top 10%
    • Vascular Tumors and Angiosarcomas
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Jonathan Hannay

16 papers receiving 744 citations

Peers

Jonathan Hannay
Comparison fields: 5 of 77
  • Oncology 206
  • Physiology 179
  • Cancer Research 83
  • Biotechnology 52
  • Molecular Biology 389
Replace Fumiyuki Kumaki with:
Fumiyuki Kumaki Japan
Anna Aspesi Italy
T Liu Sweden
Simeon Springer United States
Enrica Rampazzo Italy
Laurie Burdett United States
Guoping Huang China
Danielle M. Lussier United States
Graham T. Atherton United Kingdom
P. Crotty Ireland
Jonathan Hannay relative to Fumiyuki Kumaki Japan Fumiyuki Kumaki's profile →
Citations per field
00.5×2.7×
Fumiyuki Kumaki · 1×
Citations per year

Countries citing papers authored by Jonathan Hannay

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Hannay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005230
2 2007105
3
Combined anti-fetal liver kinase 1 monoclonal antibody and continuous low-dose doxorubicin inhibits angiogenesis and growth of human soft tissue sarcoma xenografts by induction of endothelial cell apoptosis.
200273
4 200665
5 200858
6 200653
7 200447
8 201538
9 201421
10 201315
11 200714
12 201313
13 198512
14 20177
15 20223
16 20162
17 20200

About Jonathan Hannay

Jonathan Hannay is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 756 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (9 papers), Vascular Tumors and Angiosarcomas (4 papers), Angiogenesis and VEGF in Cancer (2 papers), Virus-based gene therapy research (2 papers), Gastrointestinal disorders and treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Diverticular Disease and Complications (1 paper) and Agricultural pest management studies (1 paper). The work is most often cited by research in Oncology (206 citations), Physiology (179 citations), Cancer Research (83 citations), Biotechnology (52 citations) and Molecular Biology (389 citations). Jonathan Hannay has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Raphael E. Pollock, Dihua Yu, Dina Lev, Juehui Liu, Lianglin Zhang, Daniel J. Hicklin, Svetlana Bolshakov, Thomas R. Yeager, David Jellinek and Diana Learoyd. Their work appears in journals such as Clinical Cancer Research, European Journal of Surgical Oncology, Gene Therapy, Proceedings of the National Academy of Sciences and Cancer 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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