Isabel Padilla-Navas

531 total citations
21 papers, 299 citations indexed

About

Isabel Padilla-Navas is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Isabel Padilla-Navas has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 4 papers in Infectious Diseases and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Isabel Padilla-Navas's work include Pleural and Pulmonary Diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Respiratory Support and Mechanisms (4 papers). Isabel Padilla-Navas is often cited by papers focused on Pleural and Pulmonary Diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Respiratory Support and Mechanisms (4 papers). Isabel Padilla-Navas collaborates with scholars based in Spain. Isabel Padilla-Navas's co-authors include Eduardo García-Pachón, Félix Gutiérrez, Nieves Gonzalo-Jiménez, Montserrat Ruiz‐García, Antonio Galiana, Victoria Sánchez and Víctor Manuel Barberá and has published in prestigious journals such as CHEST Journal, European Respiratory Journal and Respiratory Medicine.

In The Last Decade

Isabel Padilla-Navas

20 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Padilla-Navas Spain 9 225 66 41 39 35 21 299
Sheldon Greenberg United States 8 262 1.2× 135 2.0× 44 1.1× 6 0.2× 54 1.5× 30 382
Umut Sabri Kasapoğlu Türkiye 8 58 0.3× 30 0.5× 15 0.4× 29 0.7× 18 0.5× 28 173
Kartikeya Rajdev United States 9 90 0.4× 67 1.0× 44 1.1× 24 0.6× 8 0.2× 32 273
Shinshu Katayama Japan 12 78 0.3× 74 1.1× 28 0.7× 81 2.1× 197 5.6× 40 398
Rottem Kuint Israel 7 64 0.3× 60 0.9× 11 0.3× 29 0.7× 78 2.2× 19 221
Qianghong Xu China 7 40 0.2× 46 0.7× 96 2.3× 41 1.1× 15 0.4× 22 221
Mehdi Skhiri United States 10 207 0.9× 117 1.8× 38 0.9× 12 0.3× 17 0.5× 11 387
Aaron C. Spicer United States 9 202 0.9× 38 0.6× 8 0.2× 74 1.9× 21 0.6× 12 341
Clara Abadesso Portugal 8 198 0.9× 29 0.4× 14 0.3× 32 0.8× 14 0.4× 22 259
Mauro Corti Italy 9 70 0.3× 74 1.1× 36 0.9× 12 0.3× 222 6.3× 14 320

Countries citing papers authored by Isabel Padilla-Navas

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Padilla-Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel Padilla-Navas. 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 Isabel Padilla-Navas. The network helps show where Isabel Padilla-Navas may publish in the future.

Co-authorship network of co-authors of Isabel Padilla-Navas

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

All Works

20 of 20 papers shown
1.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2024). The Impact of Anemia on Long-Term Mortality in Hospitalized Patients with Exacerbation of Chronic Obstructive Pulmonary Disease. International Journal of COPD. Volume 19. 2229–2237.
2.
García-Pachón, Eduardo, et al.. (2021). Symptoms in patients with asthma infected by SARS-CoV-2. Respiratory Medicine. 185. 106495–106495. 4 indexed citations
3.
Padilla-Navas, Isabel, et al.. (2021). [Sarcopenia index in hospitalized patients with chronic obstructive pulmonary disease exacerbation].. PubMed. 81(3). 323–328. 4 indexed citations
4.
García-Pachón, Eduardo, et al.. (2020). Asthma prevalence in patients with SARS-CoV-2 infection detected by RT-PCR not requiring hospitalization. Respiratory Medicine. 171. 106084–106084. 19 indexed citations
5.
García-Pachón, Eduardo, et al.. (2020). Platelet-to-Lymphocyte Ratio and Survival in Malignant Pleural Effusion. Clinical Laboratory. 66(08/2020). 1 indexed citations
6.
García-Pachón, Eduardo, et al.. (2020). Prognostic Value of Hematological Inflammatory Markers in Patients with Pleural Effusion Due to Heart Failure. Clinical Laboratory. 66(03/2020). 2 indexed citations
7.
García-Pachón, Eduardo, et al.. (2020). Asthma and COPD in hospitalized COVID-19 patients. Archivos de Bronconeumología. 56(9). 604–606. 20 indexed citations
8.
Sánchez, Victoria, et al.. (2019). Lower Airway Microbiota and Lung Cancer. Microbiology and Biotechnology Letters. 47(3). 441–448. 2 indexed citations
9.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2014). Should Self-Citation of Articles Be Penalized?. Archivos de Bronconeumología. 50(8). 372–372. 1 indexed citations
10.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2013). El factor de impacto y el índice h de las revistas biomédicas españolas. Medicina Clínica. 142(5). 226–227. 7 indexed citations
11.
García-Pachón, Eduardo, et al.. (2007). Serum Uric Acid to Creatinine Ratio in Patients with Chronic Obstructive Pulmonary Disease. Lung. 185(1). 21–24. 41 indexed citations
12.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2006). Red cell macrocytosis in COPD patients without respiratory insufficiency: A brief report. Respiratory Medicine. 101(2). 349–352. 8 indexed citations
13.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2006). Frequency of Hoover's sign in stable patients with chronic obstructive pulmonary disease. International Journal of Clinical Practice. 60(5). 514–517. 20 indexed citations
14.
García-Pachón, Eduardo, et al.. (2005). C-Reactive Protein in Lymphocytic Pleural Effusions: A Diagnostic Aid in Tuberculous Pleuritis. Respiration. 72(5). 486–489. 18 indexed citations
15.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2004). Clinical implications of Hoover's sign in chronic obstructive pulmonary disease. European Journal of Internal Medicine. 15(1). 50–53. 6 indexed citations
16.
García-Pachón, Eduardo & Isabel Padilla-Navas. (2004). Urinothorax: Case Report and Review of the Literature with Emphasis on Biochemical Diagnosis. Respiration. 71(5). 533–536. 61 indexed citations
17.
García-Pachón, Eduardo, et al.. (1999). Pseudochylothorax in pleural effusion due to coronary artery bypass surgery. European Respiratory Journal. 13(6). 1487–1488. 6 indexed citations
18.
García-Pachón, Eduardo & Isabel Padilla-Navas. (1998). Usefulness of Carcinoembryonic Antigen in Pleural Effusion Diagnosis: To the Editor. CHEST Journal. 113(5). 1426–1426. 1 indexed citations
19.
García-Pachón, Eduardo, et al.. (1997). Elevated Level of Carcinoembryonic Antigen in Nonmalignant Pleural Effusions. CHEST Journal. 111(3). 643–647. 47 indexed citations
20.
García-Pachón, Eduardo, et al.. (1996). Pleural Fluid to Serum Cholinesterase Ratio for the Separation of Transudates and Exudates. CHEST Journal. 110(1). 97–101. 28 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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