Sonja Bartolome

444 total citations · 1 hit paper
10 papers, 209 citations indexed

About

Sonja Bartolome is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Hepatology. According to data from OpenAlex, Sonja Bartolome has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Hepatology. Recurrent topics in Sonja Bartolome's work include Pulmonary Hypertension Research and Treatments (6 papers), Liver Disease and Transplantation (2 papers) and Lymphatic Disorders and Treatments (1 paper). Sonja Bartolome is often cited by papers focused on Pulmonary Hypertension Research and Treatments (6 papers), Liver Disease and Transplantation (2 papers) and Lymphatic Disorders and Treatments (1 paper). Sonja Bartolome collaborates with scholars based in United States, Austria and France. Sonja Bartolome's co-authors include David Montani, Christopher P. Denton, Miguel Á. Arias, Alberto Alonso‐Fernández, Luis Rodrı́guez Padial, Ángel Hernánz, Francisco García‐Río, Sue Gu, Gábor Kovács and Dinesh Khanna and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

Sonja Bartolome

9 papers receiving 207 citations

Hit Papers

Definition, classification and diagnosis of pulmonary hyp... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Bartolome United States 4 139 90 66 56 16 10 209
Richard Wu United States 8 63 0.5× 113 1.3× 73 1.1× 85 1.5× 8 0.5× 11 247
M.J. Díaz de Atauri Spain 7 136 1.0× 70 0.8× 61 0.9× 46 0.8× 5 0.3× 14 183
Anuradha Ramaswamy United States 6 190 1.4× 200 2.2× 136 2.1× 38 0.7× 10 335
Qiong Ou China 9 136 1.0× 254 2.8× 175 2.7× 21 0.4× 44 322
Ann Greenberg United States 5 43 0.3× 63 0.7× 53 0.8× 99 1.8× 10 235
Dimitrios G. Ketikoglou Greece 5 41 0.3× 56 0.6× 18 0.3× 254 4.5× 6 306
Marino De Rosa Italy 4 115 0.8× 30 0.3× 18 0.3× 57 1.0× 4 149
Guodong Niu China 12 45 0.3× 91 1.0× 50 0.8× 646 11.5× 29 712
C. Verkindre France 9 478 3.4× 295 3.3× 28 0.4× 13 0.2× 13 545
Weizhu Ju China 17 19 0.1× 31 0.3× 23 0.3× 836 14.9× 3 0.2× 101 904

Countries citing papers authored by Sonja Bartolome

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Bartolome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Bartolome

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

All Works

10 of 10 papers shown
1.
Kovács, Gábor, Sonja Bartolome, Christopher P. Denton, et al.. (2024). Definition, classification and diagnosis of pulmonary hypertension. European Respiratory Journal. 64(4). 2401324–2401324. 87 indexed citations breakdown →
2.
Shah, Trushil, Madhusudhanan Narasimhan, Mary Latha Rathinam, et al.. (2021). Variable Creatinine Levels in Critical Care Patients: A Concerning Knowledge Gap. Journal of Clinical Medicine. 10(8). 1689–1689. 1 indexed citations
5.
Bartolome, Sonja. (2018). Chronic thromboembolic pulmonary hypertension: an update for 2018.
6.
Chin, Kelly, et al.. (2014). Does treatment response to ambrisentan vary by pulmonary arterial hypertension severity? Implications for clinicians and for the design of future clinical trials. International Journal of Clinical Practice. 68(5). 568–577. 4 indexed citations
7.
Matulevicius, Susan, et al.. (2013). CARDIAC MRI PREDICTORS OF MORTALITY IN PATIENTS WITH PULMONARY ARTERIAL HYPERTENSION. Journal of the American College of Cardiology. 61(10). E1255–E1255. 1 indexed citations
8.
Ayers, Colby, Joseph D. Mishkin, Sonja Bartolome, et al.. (2013). Association of Cardiac Troponin I With Disease Severity and Outcomes in Patients With Pulmonary Hypertension. The American Journal of Cardiology. 111(12). 1812–1817. 22 indexed citations
9.
Bartolome, Sonja, et al.. (2012). Fat Is Where It's At: A Case Of Difficult To Control Chyloptysis. A6582–A6582. 1 indexed citations
10.
Arias, Miguel Á., Francisco García‐Río, Alberto Alonso‐Fernández, et al.. (2008). CPAP decreases plasma levels of soluble tumour necrosis factor-α receptor 1 in obstructive sleep apnoea. European Respiratory Journal. 32(4). 1009–1015. 90 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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