Jennifer Habashi

5.7k total citations · 3 hit papers
23 papers, 3.9k citations indexed

About

Jennifer Habashi is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jennifer Habashi has authored 23 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jennifer Habashi's work include Connective tissue disorders research (18 papers), Aortic Disease and Treatment Approaches (13 papers) and Aortic aneurysm repair treatments (7 papers). Jennifer Habashi is often cited by papers focused on Connective tissue disorders research (18 papers), Aortic Disease and Treatment Approaches (13 papers) and Aortic aneurysm repair treatments (7 papers). Jennifer Habashi collaborates with scholars based in United States, Switzerland and Belgium. Jennifer Habashi's co-authors include Harry C. Dietz, Daniel P. Judge, Bart Loeys, Tammy M. Holm, Djahida Bedja, Francesco Ramirez, David L. Huso, Nishant Patel, Benjamin S. Brooke and Ronald D. Cohn and has published in prestigious journals such as Science, New England Journal of Medicine and Circulation.

In The Last Decade

Jennifer Habashi

23 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Losartan, an AT1 Antagonist, Prevents Aortic Aneurysm in a Mouse Model of Marfan Syndrome

2006 1.3k citations Jennifer Habashi, Daniel P. Judge et al. Science profile →
Angiotensin II Blockade and Aortic-Root Dilation in Marfan's Syndrome

2008 552 citations Benjamin S. Brooke, Jennifer Habashi et al. New England Journal of Medicine profile →
Angiotensin II type 1 receptor blockade attenuates TGF-β–induced failure of muscle regeneration in multiple myopathic states

2007 542 citations Ronald D. Cohn, Christel van Erp et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Habashi United States	15	2.1k	2.0k	1.3k	959	609	23	3.9k
Tammy M. Holm United States	14	1.6k 0.8×	1.4k 0.7×	889 0.7×	885 0.9×	505 0.8×	27	3.2k
Loretha Myers United States	14	3.0k 1.4×	2.3k 1.1×	1.5k 1.1×	1.0k 1.1×	659 1.1×	16	4.6k
Luca Carta United States	14	1.6k 0.7×	1.2k 0.6×	666 0.5×	592 0.6×	315 0.5×	22	2.5k
Micheala A. Aldred United States	32	585 0.3×	2.2k 1.1×	756 0.6×	1.6k 1.7×	411 0.7×	80	4.0k
Wanfen Xiong United States	25	555 0.3×	2.5k 1.2×	617 0.5×	500 0.5×	1.4k 2.3×	41	3.9k
Annette F. Baas Netherlands	23	437 0.2×	1.3k 0.6×	969 0.7×	1.3k 1.3×	595 1.0×	66	3.2k
Christel van Erp United States	7	667 0.3×	529 0.3×	413 0.3×	681 0.7×	253 0.4×	8	1.6k
Rosamund McNair United Kingdom	13	543 0.3×	432 0.2×	330 0.3×	920 1.0×	369 0.6×	15	3.0k
Christine Mallet France	24	245 0.1×	673 0.3×	456 0.3×	1.5k 1.5×	366 0.6×	29	3.0k
Steve Bevan United Kingdom	29	684 0.3×	360 0.2×	301 0.2×	1.3k 1.4×	414 0.7×	72	3.0k

Countries citing papers authored by Jennifer Habashi

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Habashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Habashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Habashi. A scholar is included among the top collaborators of Jennifer Habashi 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 Jennifer Habashi. Jennifer Habashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bagirzadeh, Rustam, et al.. (2022). Distinct Contribution of Global and Regional Angiotensin II Type 1a Receptor Inactivation to Amelioration of Aortopathy in Tgfbr1M318R/+ Mice. Frontiers in Cardiovascular Medicine. 9. 936142–936142. 8 indexed citations

Habashi, Jennifer, Elena Gallo MacFarlane, Rustam Bagirzadeh, et al.. (2019). Oxytocin antagonism prevents pregnancy-associated aortic dissection in a mouse model of Marfan syndrome. Science Translational Medicine. 11(490). 38 indexed citations

MacFarlane, Elena Gallo, Sarah J. Parker, Joseph Shin, et al.. (2019). Lineage-specific events underlie aortic root aneurysm pathogenesis in Loeys-Dietz syndrome. Journal of Clinical Investigation. 129(2). 659–675. 76 indexed citations

Fraser, Charles D., Xun Zhou, Nishant Patel, et al.. (2018). Valve-sparing aortic root replacement in children: Outcomes from 100 consecutive cases. Journal of Thoracic and Cardiovascular Surgery. 157(3). 1100–1109. 20 indexed citations

Busnadiego, Óscar, Darya Gorbenko del Blanco, José González, et al.. (2015). Elevated expression levels of lysyl oxidases protect against aortic aneurysm progression in Marfan syndrome. Journal of Molecular and Cellular Cardiology. 85. 48–57. 30 indexed citations

Doyle, Jefferson J., Alexander Doyle, Jennifer Habashi, et al.. (2015). A deleterious gene-by-environment interaction imposed by calcium channel blockers in Marfan syndrome. eLife. 4. 74 indexed citations

Doyle, Jefferson J., Alexander Doyle, Jennifer Habashi, et al.. (2014). Abstract 18126: Calcium Channel Blockers Accelerate Aortic Aneurysm and Cause Premature Lethality in Marfan Syndrome and Related Conditions. 130. 1 indexed citations

Holmes, Kathryn W., G. Michael Silberbach, Cheryl L. Maslen, et al.. (2013). Abstract 13178: Bicuspid Aortic Valve and Marfan Syndrome: Two Strikes?. Circulation. 128. 1 indexed citations

Liu, Dongyan, Daniel P. Judge, Marc K. Halushka, et al.. (2013). A Pkd1-Fbn1 Genetic Interaction Implicates TGF-β Signaling in the Pathogenesis of Vascular Complications in Autosomal Dominant Polycystic Kidney Disease. Journal of the American Society of Nephrology. 25(1). 81–91. 35 indexed citations

10.

Habashi, Jennifer, et al.. (2011). Angiotensin II Type 2 Receptor Signaling Attenuates Aortic Aneurysm in Mice Through ERK Antagonism. Journal of Vascular Surgery. 54(3). 910–910. 3 indexed citations

11.

Judge, Daniel P., Rosanne Rouf, Jennifer Habashi, & Harry C. Dietz. (2011). Mitral Valve Disease in Marfan Syndrome and Related Disorders. Journal of Cardiovascular Translational Research. 4(6). 741–747. 36 indexed citations

12.

Habashi, Jennifer, Jefferson J. Doyle, Tammy M. Holm, et al.. (2011). Angiotensin II Type 2 Receptor Signaling Attenuates Aortic Aneurysm in Mice Through ERK Antagonism. Science. 332(6027). 361–365. 356 indexed citations

13.

Habashi, Jennifer, Tammy M. Holm, Jefferson J. Doyle, et al.. (2009). Abstract 4521: AT2 Signaling is a Positive Prognostic and Therapeutic Modifier of Marfan Syndrome: Lessons on the Inequality of ACEi and ARBs. Circulation. 120. 4 indexed citations

14.

Matt, Peter, David L. Huso, Jennifer Habashi, et al.. (2009). Murine model of surgically induced acute aortic dissection type A. Journal of Thoracic and Cardiovascular Surgery. 139(4). 1041–1047. 14 indexed citations

15.

Matt, Peter, Florian Schoenhoff, Jennifer Habashi, et al.. (2009). Circulating Transforming Growth Factor-β in Marfan Syndrome. Circulation. 120(6). 526–532. 210 indexed citations

16.

Matt, Peter, Jennifer Habashi, Thierry Carrel, et al.. (2008). Recent advances in understanding Marfan syndrome: Should we now treat surgical patients with losartan?. Journal of Thoracic and Cardiovascular Surgery. 135(2). 389–394. 61 indexed citations

17.

Brooke, Benjamin S., Jennifer Habashi, Daniel P. Judge, et al.. (2008). Angiotensin II Blockade and Aortic-Root Dilation in Marfan's Syndrome. New England Journal of Medicine. 358(26). 2787–2795. 552 indexed citations breakdown →

18.

Cohn, Ronald D., Christel van Erp, Jennifer Habashi, et al.. (2007). Angiotensin II type 1 receptor blockade attenuates TGF-β–induced failure of muscle regeneration in multiple myopathic states. Nature Medicine. 13(2). 204–210. 542 indexed citations breakdown →

19.

Habashi, Jennifer, Daniel P. Judge, Tammy M. Holm, et al.. (2006). Losartan in Marfan Syndrome—Beyond Blood Pressure Lowering. Journal of the American Society of Nephrology. 17(7). 1759–1764. 3 indexed citations

20.

Habashi, Jennifer, Daniel P. Judge, Tammy M. Holm, et al.. (2006). Losartan, an AT1 Antagonist, Prevents Aortic Aneurysm in a Mouse Model of Marfan Syndrome. Science. 312(5770). 117–121. 1252 indexed citations breakdown →

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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