Catherine E. Simpson

2.1k total citations · 1 hit paper
55 papers, 1.5k citations indexed

About

Catherine E. Simpson is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Geophysics. According to data from OpenAlex, Catherine E. Simpson has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 22 papers in Cardiology and Cardiovascular Medicine and 8 papers in Geophysics. Recurrent topics in Catherine E. Simpson's work include Pulmonary Hypertension Research and Treatments (37 papers), Cardiovascular Function and Risk Factors (9 papers) and Geological and Geochemical Analysis (7 papers). Catherine E. Simpson is often cited by papers focused on Pulmonary Hypertension Research and Treatments (37 papers), Cardiovascular Function and Risk Factors (9 papers) and Geological and Geochemical Analysis (7 papers). Catherine E. Simpson collaborates with scholars based in United States, Italy and Japan. Catherine E. Simpson's co-authors include C. W. Passchier, Robert P. Wintsch, Rachel L. Damico, Paul M. Hassoun, Stephen C. Mathai, Todd M. Kolb, Alexander E. Gates, L. Glover, Steven Hsu and D. Dunbar Ivy and has published in prestigious journals such as Circulation, American Journal of Respiratory and Critical Care Medicine and Earth and Planetary Science Letters.

In The Last Decade

Catherine E. Simpson

50 papers receiving 1.4k 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.

Porphyroclast systems as kinematic indicators

1986 526 citations Catherine E. Simpson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine E. Simpson United States	17	928	333	200	151	121	55	1.5k
Philippe Olivier France	29	717 0.8×	384 1.2×	183 0.9×	160 1.1×	44 0.4×	105	2.4k
Michael D. Rosenberg New Zealand	18	338 0.4×	248 0.7×	56 0.3×	97 0.6×	68 0.6×	30	872
John D. Pigott United States	25	307 0.3×	361 1.1×	415 2.1×	93 0.6×	433 3.6×	85	1.8k
Wolfgang Kramer Germany	17	381 0.4×	648 1.9×	64 0.3×	138 0.9×	47 0.4×	45	1.5k
Yongshi Wang China	19	121 0.1×	188 0.6×	213 1.1×	125 0.8×	809 6.7×	88	1.3k
Yoichi Nakamura Japan	19	377 0.4×	323 1.0×	47 0.2×	96 0.6×	10 0.1×	80	1.2k
F. S. P. van Buchem Netherlands	23	315 0.3×	151 0.5×	228 1.1×	118 0.8×	442 3.7×	70	2.1k
Arnaud Goolaerts United States	15	873 0.9×	276 0.8×	17 0.1×	322 2.1×	21 0.2×	22	1.7k
Ping Guan China	21	582 0.6×	44 0.1×	32 0.2×	285 1.9×	452 3.7×	89	1.7k
Guanghua Liu China	11	656 0.7×	45 0.1×	18 0.1×	117 0.8×	44 0.4×	46	1.1k

Countries citing papers authored by Catherine E. Simpson

Since Specialization

Citations

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

Fields of papers citing papers by Catherine E. Simpson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine E. Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine E. Simpson. A scholar is included among the top collaborators of Catherine E. Simpson 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 Catherine E. Simpson. Catherine E. Simpson 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

Kwapiszewska, Grażyna, Christopher Rhodes, Marlene Rabinovitch, et al.. (2025). Pathogenic Concepts in Pulmonary Arterial Hypertension Revisited: A Multigenerational Perspective. American Journal of Respiratory Cell and Molecular Biology. 73(2). 200–209.

Simpson, Catherine E., Aparna Balasubramanian, Todd M. Kolb, et al.. (2025). Multi-beat pressure–volume loop-derived right ventricular–pulmonary arterial coupling predicts transplant-free survival in pulmonary arterial hypertension. European Respiratory Journal. 67(1). 2500724–2500724.

Jani, Vivek, Gregory T. Golden, Kaidong Wang, et al.. (2025). Advanced Echocardiographic Assessment Predicts 1-Year Mortality in Critically Ill Patients With Pulmonary Arterial Hypertension. JACC Advances. 4(10). 102080–102080.

Griffiths, Megan, Catherine E. Simpson, Jun Yang, et al.. (2024). Equivalency of Multiple Biomarkers to Clinical Pulmonary Arterial Hypertension Survival Risk Models. CHEST Journal. 166(6). 1511–1531. 2 indexed citations

Simpson, Catherine E., Julie G. Ledford, & Gang Liu. (2024). Application of Metabolomics across the Spectrum of Pulmonary and Critical Care Medicine. American Journal of Respiratory Cell and Molecular Biology. 71(1). 1–9. 4 indexed citations

Naranjo, Mario, Rose Yu, Allen D. Everett, et al.. (2024). Collagen 18A1/Endostatin Expression in the Progression of Right Ventricular Remodeling and Dysfunction in Pulmonary Arterial Hypertension. American Journal of Respiratory Cell and Molecular Biology. 71(3). 343–355. 2 indexed citations

Simpson, Catherine E., Robert Harlan, David R. Graham, et al.. (2023). Spatial and temporal resolution of metabolic dysregulation in the Sugen hypoxia model of pulmonary hypertension. Pulmonary Circulation. 13(3). e12260–e12260. 4 indexed citations

Simpson, Catherine E., Julie Coursen, Steven Hsu, et al.. (2023). Metabolic profiling of in vivo right ventricular function and exercise performance in pulmonary arterial hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(6). L836–L848. 14 indexed citations

Yang, Jun, Allan J. Barnes, Megan Griffiths, et al.. (2023). Abstract 13857: Slit2/ROBO4 Ligand-Receptor Pair as Novel Biomarkers for Survival in Pulmonary Arterial Hypertension. Circulation. 148(Suppl_1). 1 indexed citations

10.

Yun, Xin, John Huetsch, Cissy Zhang, et al.. (2023). Transpulmonary amino acid metabolism in the sugen hypoxia model of pulmonary hypertension. Pulmonary Circulation. 13(1). e12205–e12205. 9 indexed citations

11.

Naranjo, Mario, Traci Housten, Steven Hsu, et al.. (2022). Improved Survival for Patients with Systemic Sclerosis–associated Pulmonary Arterial Hypertension: The Johns Hopkins Registry. American Journal of Respiratory and Critical Care Medicine. 207(3). 312–322. 20 indexed citations

12.

Griffiths, Megan, Catherine E. Simpson, Jun Yang, et al.. (2021). Angiostatic Peptide, Endostatin, Predicts Severity in Pediatric Congenital Heart Disease–Associated Pulmonary Hypertension. Journal of the American Heart Association. 10(20). e021409–e021409. 7 indexed citations

13.

Housten, Traci, Aparna Balasubramanian, Catherine E. Simpson, et al.. (2021). A novel approach to perioperative risk assessment for patients with pulmonary hypertension. ERJ Open Research. 7(3). 257–2021. 4 indexed citations

14.

Simpson, Catherine E., Rachel L. Damico, Paul M. Hassoun, et al.. (2020). Noninvasive Prognostic Biomarkers for Left-Sided Heart Failure as Predictors of Survival in Pulmonary Arterial Hypertension. CHEST Journal. 157(6). 1606–1616. 21 indexed citations

15.

Yang, Jun, Megan Griffiths, Melanie Nies, et al.. (2020). Insulin-like growth factor binding protein-2: a new circulating indicator of pulmonary arterial hypertension severity and survival. BMC Medicine. 18(1). 268–268. 22 indexed citations

16.

Griffiths, Megan, Jun Yang, Melanie Nies, et al.. (2020). Elevated Interleukin-6 Levels Predict Clinical Worsening in Pediatric Pulmonary Arterial Hypertension. The Journal of Pediatrics. 223. 164–169.e1. 9 indexed citations

17.

Hager, David N., et al.. (2018). Hospital mortality prediction for intermediate care patients: Assessing the generalizability of the Intermediate Care Unit Severity Score (IMCUSS). Journal of Critical Care. 46. 94–98. 15 indexed citations

18.

Simpson, Catherine E., Sarina K. Sahetya, Robert W. Bradsher, et al.. (2016). Outcomes of Emergency Medical Patients Admitted to an Intermediate Care Unit With Detailed Admission Guidelines. American Journal of Critical Care. 26(1). e1–e10. 20 indexed citations

19.

Bongiovanni, Rodolfo, Bryan K. Yamamoto, Catherine E. Simpson, & George E. Jaskiw. (2003). Pharmacokinetics of systemically administered tyrosine: a comparison of serum, brain tissue and in vivo microdialysate levels in the rat. Journal of Neurochemistry. 87(2). 310–317. 39 indexed citations

20.

Simpson, Catherine E., et al.. (1982). Inhomogeneous deformation in roses granodiorite, N.E. Spain. Revistes Científiques de la University of Barcelona (University of Barcelona). 17(4). 219–226. 20 indexed citations

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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