Danielle Sass

908 citations
22 papers · 598 · 1 hit paper · h-index 10

Impact in

Papers in

Danielle Sass

20 papers receiving 582 citations

Danielle Sass's Hit Papers

Trends and comparison of female first authorship in high impact medical journals: observational study (1994-2014) 2016 · 314 citations
3140+3+6Years since publication100200300

Peers

Danielle Sass
Comparison fields: 5 of 75
  • Gender Studies 198
  • Cardiology and Cardiovascular Medicine 143
  • Public Health, Environmental and Occupational Health 125
  • Health Informatics 4
  • Statistics, Probability and Uncertainty 13
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Sass

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Sass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trends and comparison of female first authorship in high impact medical journals: observational study (1994-2014)
Hit paper breakdown →
2016314
2 201878
3 201729
4 201627
5 201423
6 201621
7 201721
8 201314
9 201611
10 201411
11 20187
12 20217
13 20197
14 20226
15 20196
16 20145
17 20243
18 20193
19 20203
20 20161

About Danielle Sass

Danielle Sass is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Economics and Econometrics and Infectious Diseases, having authored 22 papers that have together received 598 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Aortic aneurysm repair treatments (2 papers), Cardiac and Coronary Surgery Techniques (2 papers), Acute Myocardial Infarction Research (2 papers), Banking stability, regulation, efficiency (1 paper), Vascular Procedures and Complications (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Gender Studies (198 citations), Cardiology and Cardiovascular Medicine (143 citations), Public Health, Environmental and Occupational Health (125 citations), Health Informatics (4 citations) and Statistics, Probability and Uncertainty (13 citations). Danielle Sass has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Giovanni Filardo, Briget da Graca, Benjamin D. Pollock, Melissa Martínez, Teresa K. Phan, Vinod H. Thourani, Gorav Ailawadi, Ralph J. Damiano, Baron L. Hamman and Hoa L. Nguyen. Their work appears in journals such as The Annals of Thoracic Surgery, The American Journal of Cardiology, Circulation Cardiovascular Quality and Outcomes, Journal of Thoracic and Cardiovascular Surgery and Annals of Vascular Surgery.

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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