Aoy Tomita‐Mitchell

60 papers receiving 1.9k citations

Peers

Aoy Tomita‐Mitchell
Comparison fields: 5 of 104
  • Transplantation 122
  • Endocrinology 185
  • Epidemiology 573
  • Molecular Biology 1.1k
  • Pediatrics, Perinatology and Child Health 298
Replace Frank B. Gelder with:
Frank B. Gelder United States
Trevor A. Booth United Kingdom
Fred G. Pluthero Canada
Sarah E. Ball United Kingdom
Neil Halliday United Kingdom
Anna Maria Testi Italy
Baogui Li United States
Arnout F. Gerritsen Netherlands
Ethel García‐Latorre Mexico
Rafaella Franch Italy
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Citations per field
00.5×10×15×17.5×
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Citations per year

Countries citing papers authored by Aoy Tomita‐Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Aoy Tomita‐Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aoy Tomita‐Mitchell. 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 Aoy Tomita‐Mitchell. The network helps show where Aoy Tomita‐Mitchell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20231
4 20227
5 20226
6 202014
7 202035
8 201962
9 20193
10 20182
11 201528
12 20149
13 201413
14 20131
15 2012208
16 201015
17 200512
18 200510
19 200043
20 199841

About Aoy Tomita‐Mitchell

Aoy Tomita‐Mitchell is a scholar working on Transplantation, Cancer Research, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (18 papers), Congenital heart defects research (17 papers), Transplantation: Methods and Outcomes (15 papers), Renal Transplantation Outcomes and Treatments (13 papers), Cancer Genomics and Diagnostics (9 papers), Cardiomyopathy and Myosin Studies (8 papers), Prenatal Screening and Diagnostics (6 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Transplantation (122 citations), Endocrinology (185 citations), Epidemiology (573 citations), Molecular Biology (1.1k citations) and Pediatrics, Perinatology and Child Health (298 citations). Aoy Tomita‐Mitchell has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Michael E. Mitchell, Luisa A. Marcelino, Janelle R. Thompson, Martin F. Polz, Vidu Garg, Elizabeth Goldmuntz, Pippa Simpson, William G. Thilly, Cheryl L. Maslen and Cynthia D. Morris. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Physiological Genomics, PLoS ONE and Pediatric Transplantation.

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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