Mary E. Haas
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- BRCA gene mutations in cancer
Papers in
-
- Educator Training and Historical Pedagogy 14
- Education 11
- Co-authors
- Krishna G. Aragam (6 shared papers)Amit V. Khera (7 shared papers)Sekar Kathiresan (4 shared papers)Patrick T. Ellinor (4 shared papers)Eric S. Lander (2 shared papers)Mark Chaffin (2 shared papers)Seung Hoan Choi (1 shared paper)Pradeep Natarajan (1 shared paper)
- Journals
- Astronomy and Astrophysics (4 papers)The Astrophysical Journal (2 papers)Circulation (2 papers)Kidney International Reports (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mary E. Haas
43 papers receiving 3.9k citations
Mary E. Haas's Hit Papers
Peers
Comparison fields: 5 of 149
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 321
- Cardiology and Cardiovascular Medicine 358
- Epidemiology 499
- Nephrology 94
Countries citing papers authored by Mary E. Haas
This map shows the geographic impact of Mary E. Haas'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 Mary E. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Haas more than expected).
Fields of papers citing papers by Mary E. Haas
This network shows the impact of papers produced by Mary E. Haas. 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 Mary E. Haas. The network helps show where Mary E. Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Haas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations Hit paper breakdown → | 2018 | 1695 |
| 2 | Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood Hit paper breakdown → | 2019 | 448 |
| 3 | Lipid nanoparticle-mediated codelivery of Cas9 mRNA and single-guide RNA achieves liver-specific in vivo genome editing of Angptl3 Hit paper breakdown → | 2021 | 321 |
| 4 | Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease Hit paper breakdown → | 2022 | 250 |
| 5 | 2012 | 158 | |
| 6 | 2013 | 135 | |
| 7 | 2021 | 128 | |
| 8 | Social studies for the elementary and middle grades : a constructivist approach | 2002 | 100 |
| 9 | 2016 | 96 | |
| 10 | 2015 | 77 | |
| 11 | 2020 | 76 | |
| 12 | 2018 | 75 | |
| 13 | 2021 | 61 | |
| 14 | 2018 | 59 | |
| 15 | 2019 | 38 | |
| 16 | 2012 | 29 | |
| 17 | 2008 | 23 | |
| 18 | 2008 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2004 | 18 |
About Mary E. Haas
Mary E. Haas is a scholar working on Sociology and Political Science, Education, Astronomy and Astrophysics, Surgery and Genetics, having authored 55 papers that have together received 4.0k indexed citations. Recurring topics across this work include Educator Training and Historical Pedagogy (14 papers), Genetic Associations and Epidemiology (5 papers), Galaxies: Formation, Evolution, Phenomena (5 papers), Diverse Educational Innovations Studies (4 papers), Astrophysics and Star Formation Studies (3 papers), Stellar, planetary, and galactic studies (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Genetics (1.3k citations), Endocrinology, Diabetes and Metabolism (321 citations), Cardiology and Cardiovascular Medicine (358 citations), Epidemiology (499 citations) and Nephrology (94 citations). Mary E. Haas has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Krishna G. Aragam, Amit V. Khera, Sekar Kathiresan, Patrick T. Ellinor, Eric S. Lander, Mark Chaffin, Seung Hoan Choi, Pradeep Natarajan, Steven A. Lubitz and Carolina Roselli. Their work appears in journals such as Astronomy and Astrophysics, The Astrophysical Journal, Circulation, Kidney International Reports and Cell.
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.