Anthony Doré

1.1k total citations
9 papers, 752 citations indexed

About

Anthony Doré is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anthony Doré has authored 9 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anthony Doré's work include interferon and immune responses (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Pluripotent Stem Cells Research (1 paper). Anthony Doré is often cited by papers focused on interferon and immune responses (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Pluripotent Stem Cells Research (1 paper). Anthony Doré collaborates with scholars based in United States and United Kingdom. Anthony Doré's co-authors include George D. Yancopoulos, Sean Stevens, Lynn E. Macdonald, Andrew Murphy, Lakeisha Esau, David M. Valenzuela, William Poueymirou, Nicholas Papadopoulos, Pamela Krueger and Margaret Karow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Clinical Cancer Research.

In The Last Decade

Anthony Doré

9 papers receiving 716 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Doré United States 9 313 170 143 98 95 9 752
Chieh‐Yu Shen Taiwan 17 352 1.1× 69 0.4× 287 2.0× 23 0.2× 27 0.3× 38 945
Masataka Satoh Japan 14 135 0.4× 95 0.6× 338 2.4× 18 0.2× 33 0.3× 37 790
Vilma Urbonaviciute Germany 16 361 1.2× 82 0.5× 941 6.6× 53 0.5× 50 0.5× 29 1.3k
Shinji Kitajima Japan 17 260 0.8× 75 0.4× 152 1.1× 11 0.1× 280 2.9× 73 893
Lakhvir K. Assi United Kingdom 12 337 1.1× 72 0.4× 309 2.2× 61 0.6× 44 0.5× 17 737
Vigdis Bjerkeli Norway 18 285 0.9× 119 0.7× 368 2.6× 35 0.4× 23 0.2× 31 878
Benjamin Stoelcker Germany 18 403 1.3× 89 0.5× 294 2.1× 23 0.2× 112 1.2× 25 904
Michael Af United States 17 318 1.0× 114 0.7× 192 1.3× 108 1.1× 547 5.8× 34 1.1k
Jonathan T. Beech United Kingdom 13 185 0.6× 50 0.3× 316 2.2× 35 0.4× 13 0.1× 18 665

Countries citing papers authored by Anthony Doré

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Doré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Doré

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Doré. A scholar is included among the top collaborators of Anthony Doré based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anthony Doré. Anthony Doré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
DaSilva, John O., Andrés E. Perez Bay, Julian Andreev, et al.. (2019). A Biparatopic Antibody That Modulates MET Trafficking Exhibits Enhanced Efficacy Compared with Parental Antibodies in MET-Driven Tumor Models. Clinical Cancer Research. 26(6). 1408–1419. 23 indexed citations
3.
Doré, Anthony, Lawrence Miloscio, Esther Latres, et al.. (2016). Myostatin deficiency but not anti‐myostatin blockade induces marked proteomic changes in mouse skeletal muscle. PROTEOMICS. 16(14). 2019–2027. 13 indexed citations
4.
Murphy, Andrew, Lynn E. Macdonald, Sean Stevens, et al.. (2014). Mice with megabase humanization of their immunoglobulin genes generate antibodies as efficiently as normal mice. Proceedings of the National Academy of Sciences. 111(14). 5153–5158. 307 indexed citations
5.
Torres, Richard, Lynn E. Macdonald, Susan D. Croll, et al.. (2009). Hyperalgesia, synovitis and multiple biomarkers of inflammation are suppressed by interleukin 1 inhibition in a novel animal model of gouty arthritis. Annals of the Rheumatic Diseases. 68(10). 1602–1608. 128 indexed citations
6.
Poueymirou, William, Wojtek Auerbach, David Frendewey, et al.. (2007). Poueymirou, W.T. et al. F0 generation mice fully derived from gene-targeted embryonic stem cells allowing immediate phenotypic analyses. Nat. Biotechnol. 25, 91-99. 15 indexed citations
7.
Poueymirou, William, Wojtek Auerbach, David Frendewey, et al.. (2006). F0 generation mice fully derived from gene-targeted embryonic stem cells allowing immediate phenotypic analyses. Nature Biotechnology. 25(1). 91–99. 143 indexed citations
8.
Lin, Reigh-Yi, Ernane D. Reis, Anthony Doré, et al.. (2002). Lowering of dietary advanced glycation endproducts (AGE) reduces neointimal formation after arterial injury in genetically hypercholesterolemic mice. Atherosclerosis. 163(2). 303–311. 92 indexed citations
9.
Komatsu, Takashi, et al.. (1999). Regulation of the BBB during Viral Encephalitis: Roles of IL-12 and NOS. Nitric Oxide. 3(4). 327–339. 15 indexed citations

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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