Anthony E. Dear

57 papers receiving 2.5k citations

Peers

Anthony E. Dear
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 593
  • Pulmonary and Respiratory Medicine 624
  • Hematology 188
  • Virology 77
  • Molecular Biology 952
Replace Takako Asano with:
Takako Asano Japan
Kitty B.J.M. Cleutjens Netherlands
Shuko Harada United States
Helen E. McGrath United States
Noémie Saut France
V W van Hinsbergh Netherlands
Shinichi Kiso Japan
Pilar M. Pizcueta Spain
Hatem H. Salem Australia
Victoria J. Sinibaldi United States
Anthony E. Dear relative to Takako Asano Japan Takako Asano's profile →
Citations per field
00.5×2×4×6.3×
Takako Asano · 1×
Citations per year

Countries citing papers authored by Anthony E. Dear

Since Specialization
Citations

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

Fields of papers citing papers by Anthony E. Dear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony E. Dear. 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 Anthony E. Dear. The network helps show where Anthony E. Dear may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Novel mechanisms of apoptosis induced by histone deacetylase inhibitors.
2003210
2 2011179
3 2007176
4 2009170
5 2008159
6 2010147
7 2013134
8 2017117
9 2006113
10 2017105
11 201483
12 201382
13 199867
14 201363
15 200763
16 200859
17 201054
18 200747
19 200544
20 201644

About Anthony E. Dear

Anthony E. Dear is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Pharmacology and Cancer Research, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (15 papers), Diabetes Treatment and Management (11 papers), Aortic aneurysm repair treatments (8 papers), Nuclear Receptors and Signaling (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Protease and Inhibitor Mechanisms (6 papers), Acute Myeloid Leukemia Research (5 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (593 citations), Pulmonary and Respiratory Medicine (624 citations), Hematology (188 citations), Virology (77 citations) and Molecular Biology (952 citations). Anthony E. Dear has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Richard W Simpson, Jonathan Golledge, Tracey A. Gaspari, Robert E. Widdop, Paul Edward Norman, Robert Lindsay Medcalf, Lotte Bjerre Knudsen, Yunshan Hu, Paula Clancy and Iresha Welungoda. Their work appears in journals such as Diabetes and Vascular Disease Research, Journal of Endocrinology, Cardiovascular Drugs and Therapy, Atherosclerosis and European Journal Of Haematology.

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.

Explore authors with similar magnitude of impact