Anthony E. Dear

51 papers receiving 2.4k citations

Peers

Anthony E. Dear
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 551
  • Pulmonary and Respiratory Medicine 590
  • Hematology 182
  • Virology 76
  • Molecular Biology 925
Replace Takako Asano with:
Takako Asano Japan
Tamara A. Pagler United States
Christilla Bachelot‐Loza France
Helen E. McGrath United States
Bart J.M. van Vlijmen Netherlands
Eugene Trogan United States
Calvin Yeang United States
Adriana Zingone United States
Roger Lacave France
Raphaël Saffroy France
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Citations per field
00.5×6.3×
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 54 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 2007170
3 2011166
4 2009164
5 2008148
6 2010133
7 2013126
8 2006110
9 2017110
10 201796
11 201381
12 201479
13 199868
14 200761
15 201361
16 200856
17 201055
18 200746
19 200544
20 201642

About Anthony E. Dear

Anthony E. Dear is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (15 papers), Diabetes Treatment and Management (8 papers), Aortic aneurysm repair treatments (8 papers), Nuclear Receptors and Signaling (7 papers), Protease and Inhibitor Mechanisms (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Protein Degradation and Inhibitors (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (551 citations), Pulmonary and Respiratory Medicine (590 citations), Hematology (182 citations), Virology (76 citations) and Molecular Biology (925 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, Robert L. Medcalf, Tracey A. Gaspari, Robert E. Widdop, Paul E. Norman, 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, American Heart Journal and International Journal of Cancer.

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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