J. Ibarra

464 total citations
19 papers, 305 citations indexed

About

J. Ibarra is a scholar working on Epidemiology, Hepatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Ibarra has authored 19 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Hepatology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Ibarra's work include Liver Disease and Transplantation (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diabetes Treatment and Management (2 papers). J. Ibarra is often cited by papers focused on Liver Disease and Transplantation (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diabetes Treatment and Management (2 papers). J. Ibarra collaborates with scholars based in United States, Chile and Spain. J. Ibarra's co-authors include John C. Longhurst, Diane M. Hall, Alison M. Buttenheim, Melissa Lee, Arturo Fernández‐Cruz, A Fernández‐Cruz, Ana Rodrı́guez, Joanne C. Sandberg, Parissa J. Ballard and Sara A. Quandt and has published in prestigious journals such as Diabetes Care, The American Journal of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

J. Ibarra

16 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ibarra United States 10 54 51 38 36 35 19 305
Yuming Zhou China 11 44 0.8× 25 0.5× 82 2.2× 32 0.9× 42 1.2× 34 450
Katrin Hoffmann Germany 10 137 2.5× 32 0.6× 19 0.5× 29 0.8× 22 0.6× 24 480
Samet Özer Türkiye 11 24 0.4× 46 0.9× 29 0.8× 28 0.8× 24 0.7× 34 368
Michael O’Callaghan Ireland 13 44 0.8× 38 0.7× 18 0.5× 23 0.6× 10 0.3× 40 503
Jessica Smith United States 9 43 0.8× 40 0.8× 15 0.4× 53 1.5× 10 0.3× 25 386
Jessica L. Bradshaw United States 13 115 2.1× 25 0.5× 17 0.4× 49 1.4× 14 0.4× 28 386
Sairaman Nagarajan United States 9 37 0.7× 22 0.4× 89 2.3× 30 0.8× 8 0.2× 25 344
Xiaodi Yang China 13 31 0.6× 31 0.6× 103 2.7× 31 0.9× 26 0.7× 34 593
Michael Weigel Germany 10 65 1.2× 52 1.0× 153 4.0× 65 1.8× 30 0.9× 32 504
Phillip Cohen United States 7 74 1.4× 81 1.6× 108 2.8× 39 1.1× 6 0.2× 12 391

Countries citing papers authored by J. Ibarra

Since Specialization
Citations

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

Fields of papers citing papers by J. Ibarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ibarra

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

All Works

19 of 19 papers shown
1.
Tindall, Alyssa, et al.. (2024). Comparison of Cardiovascular Health Between Parents and Non-Parents in NHANES 2011-2018. Family & Community Health. 47(3). 231–238.
2.
Braas, Daniel, Thomas G. Graeber, Francesco Parlati, et al.. (2020). B02 The GSK3 Signaling Axis Regulates Adaptive Glutamine Metabolism in Lung Squamous Cell Carcinoma. Journal of Thoracic Oncology. 15(2). S27–S27. 1 indexed citations
3.
Díaz, Luis Antonio, Bárbara Lara, Jaime Poníachik, et al.. (2019). Prioritization for liver transplantation using the MELD score in Chile: Inequities generated by MELD exceptions.. Annals of Hepatology. 18(2). 325–330. 7 indexed citations
4.
Arnold, Taylor J., J. Ibarra, Stephanie S. Daniel, et al.. (2019). Engaging Youth Advocates in Community-Based Participatory Research on Child Farmworker Health in North Carolina. Progress in community health partnerships. 13(2). 191–199. 20 indexed citations
5.
Ibarra, J., et al.. (2018). Comparison of Online Survey Recruitment Platforms for Hard-to-Reach Pregnant Smoking Populations: Feasibility Study. JMIR Research Protocols. 7(4). e101–e101. 62 indexed citations
6.
Ibarra, J., et al.. (2015). Estudio de los micromamíferos de los lechos de la Edad del Bronce de la Cueva de Arenaza I (Galdames, Bizkaia). Geogaceta. 51–54. 1 indexed citations
7.
Urzúa, Álvaro, Jaime Poníachik, Juan Carlos Díaz, et al.. (2015). Eliminación espontánea de virus hepatitis C en trasplantado hepático: a propósito de dos casos. Revista médica de Chile. 143(5). 663–667.
8.
Wang, Feng, et al.. (2014). What's In a Name? Data Linkage, Demography and Visual Analytics. Eurographics. 3 indexed citations
9.
Poníachik, Jaime, Jorge Contreras, José Natalino Macedo Silva, et al.. (2012). Trasplante hepático en cirrosis por virus B: profilaxis con gammaglobulina antiHBs en dosis a "demanda". Revista médica de Chile. 140(1). 78–83.
10.
Muñoz-Ramírez, Carlos P., et al.. (2012). Análisis de la dieta de Diplomystes (Siluriformes: Diplomystidae) de Chile. Gayana. 76(2). 102–111. 9 indexed citations
11.
Durán, Alejandra, Isabelle Rünkle, Pilar Matía‐Martín, et al.. (2008). Family physician and endocrinologist coordination as the basis for diabetes care in clinical practice. BMC Endocrine Disorders. 8(1). 9–9. 13 indexed citations
12.
Fry, F. A., et al.. (2002). Wet combing to eradicate head lice. Journal of the Royal Society of Medicine. 95(12). 630–631. 2 indexed citations
13.
Ibarra, J., et al.. (2000). Circulating monocytes in patients with diabetes mellitus, arterial disease, and increased CD14 expression. The American Journal of Cardiology. 85(11). 1288–1291. 53 indexed citations
14.
Ibarra, J. & Diane M. Hall. (1996). Head lice in schoolchildren.. Archives of Disease in Childhood. 75(6). 471–473. 36 indexed citations
15.
Ibarra, J., et al.. (1996). Increased Serum Levels of IgA Antibodies to hsp70 Protein in Patients with Diabetes Mellitus: Their Relationship with Vascular Complications. Clinical Immunology and Immunopathology. 79(3). 252–255. 22 indexed citations
16.
Ibarra, J., et al.. (1993). Plasma C3d Levels and Ischemic Heart Disease in Type II Diabetes. Diabetes Care. 16(2). 445–449. 25 indexed citations
17.
Fernández‐Cruz, Arturo, Luis Fernandez, J. Ibarra, et al.. (1993). Plasma endothelin is increased in young essential hypertensives but not in elderly essential or diabetic hypertensives. Journal of Hypertension. 11(5). S146???S147–S146???S147. 10 indexed citations
18.
Longhurst, John C. & J. Ibarra. (1984). Reflex regional vascular responses during passive gastric distension in cats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 247(2). R257–R265. 15 indexed citations
19.
Longhurst, John C. & J. Ibarra. (1982). Sympathoadrenal mechanisms in hemodynamic responses to gastric distension in cats. American Journal of Physiology-Heart and Circulatory Physiology. 243(5). H748–H753. 26 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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