E. Starr Hazard

2.5k citations
53 papers · 1.8k · 1 hit paper · h-index 22

Impact in

Papers in

E. Starr Hazard

52 papers receiving 1.8k citations

E. Starr Hazard's Hit Papers

Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity 2020 · 311 citations
3110+2+4Years since publication100200300

Peers

E. Starr Hazard
Comparison fields: 5 of 115
  • Health, Toxicology and Mutagenesis 179
  • Cancer Research 172
  • Oncology 303
  • Physiology 55
  • Molecular Biology 793
Replace Rachid Safi with:
Rachid Safi United States
Jing Gu China
Anand Selvaraj United States
Paolo Martini Italy
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Claudia Manzl Austria
Yan Fang China
Shintaro Imamura Japan
William Ka Fai Tse Japan
Chunyue Yin United States
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Citations per year

Countries citing papers authored by E. Starr Hazard

Since Specialization
Citations

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

Fields of papers citing papers by E. Starr Hazard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity
Hit paper breakdown →
2020311
2 2001283
3 2016121
4 201788
5 199287
6 201878
7 201662
8 200760
9 201955
10 201755
11 201742
12 200741
13 201936
14 200133
15 198932
16 199131
17 201630
18 199430
19 201528
20 201727

About E. Starr Hazard

E. Starr Hazard is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (5 papers), Hemoglobin structure and function (5 papers), Environmental Toxicology and Ecotoxicology (4 papers), Physiological and biochemical adaptations (4 papers), Reproductive biology and impacts on aquatic species (4 papers), Cancer-related Molecular Pathways (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (179 citations), Cancer Research (172 citations), Oncology (303 citations), Physiology (55 citations) and Molecular Biology (793 citations). E. Starr Hazard has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gary Hardiman, Robert Wilson, Sean M. Courtney, Elvis Genbo Xu, Daniel Schlenk, Rosalie K. Crouch, Willian A. da Silveira, Quentin Gibson, Dylan Richards and Donald R. Menick. Their work appears in journals such as Biochemistry, Genes, PLoS ONE, Environmental Science & Technology and Oncogene.

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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