Ursula Schild

1.9k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Ursula Schild is a scholar working on Epidemiology, Emergency Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ursula Schild has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Emergency Medicine and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ursula Schild's work include Pneumonia and Respiratory Infections (10 papers), Emergency and Acute Care Studies (8 papers) and Nosocomial Infections in ICU (6 papers). Ursula Schild is often cited by papers focused on Pneumonia and Respiratory Infections (10 papers), Emergency and Acute Care Studies (8 papers) and Nosocomial Infections in ICU (6 papers). Ursula Schild collaborates with scholars based in Switzerland, United States and Chile. Ursula Schild's co-authors include Philipp Schüetz, Mirjam Christ‐Crain, Heiner C. Bucher, Beat Müeller, C Blum, Robert V. Thomann, Claus Hoess, Marcel Wolbers, Werner Zimmerli and Christoph Henzen and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and European Respiratory Journal.

In The Last Decade

Ursula Schild

16 papers receiving 1.3k citations

Hit Papers

Effect of Procalcitonin-Based Guidelines vs Standard Guid... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula Schild Switzerland 10 1.0k 491 231 203 169 16 1.3k
Claus Hoess Switzerland 17 1.0k 1.0× 447 0.9× 269 1.2× 218 1.1× 128 0.8× 29 1.5k
Claudine Falconnier Switzerland 9 754 0.7× 376 0.8× 177 0.8× 138 0.7× 123 0.7× 10 990
Stefanie Neidert Switzerland 6 729 0.7× 358 0.7× 199 0.9× 137 0.7× 113 0.7× 8 987
Lee P. Skrupky United States 18 678 0.7× 488 1.0× 310 1.3× 184 0.9× 104 0.6× 43 1.4k
Katharina Regez Switzerland 9 656 0.6× 314 0.6× 132 0.6× 144 0.7× 107 0.6× 17 806
Sergey Goodman Israel 9 999 1.0× 569 1.2× 183 0.8× 177 0.9× 68 0.4× 10 1.5k
Stefan Schroeder Germany 17 782 0.8× 679 1.4× 113 0.5× 286 1.4× 173 1.0× 39 1.5k
Charly Nusbaumer Switzerland 13 541 0.5× 239 0.5× 178 0.8× 115 0.6× 66 0.4× 18 989
Álvaro Castellanos-Ortega Spain 18 619 0.6× 225 0.5× 124 0.5× 181 0.9× 53 0.3× 48 1.0k
Cédric Daubin France 25 499 0.5× 413 0.8× 461 2.0× 579 2.9× 111 0.7× 62 2.0k

Countries citing papers authored by Ursula Schild

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Schild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Schild

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

All Works

16 of 16 papers shown
2.
Widmer, Daniel, Daniel Drozdov, Birsen Arici, et al.. (2014). Effectiveness of Proadrenomedullin Enhanced CURB65 Score Algorithm in Patients with Community-Acquired Pneumonia in “Real Life”, an Observational Quality Control Survey. Journal of Clinical Medicine. 3(1). 267–279. 5 indexed citations
3.
Regez, Katharina, Ursula Schild, M Guglielmetti, et al.. (2013). The potential impact of biomarker-guided triage decisions for patients with urinary tract infections. Infection. 41(4). 799–809. 12 indexed citations
4.
Albrich, Werner C., Frank Dusemund, Philipp Schüetz, et al.. (2013). Biomarker-enhanced triage in respiratory infections: a proof-of-concept feasibility trial. European Respiratory Journal. 42(4). 1064–1075. 36 indexed citations
5.
Conca, Antoinette, Katharina Regez, Ursula Schild, et al.. (2013). [At admission planning discharge already].. PubMed. 106(1). 20–3. 2 indexed citations
6.
Dusemund, Frank, Stefan Meyer, Robert V. Thomann, et al.. (2012). Influence of procalcitonin on decision to start antibiotic treatment in patients with a lower respiratory tract infection: insight from the observational multicentric ProREAL surveillance. European Journal of Clinical Microbiology & Infectious Diseases. 32(1). 51–60. 15 indexed citations
8.
Dusemund, Frank, Werner C. Albrich, Katharina Regez, et al.. (2011). Optimized patient transfer using an innovative multidisciplinary assessment in the Kanton Aargau (OPTIMA I): an observational survey in lower respiratory tract infections. Critical Care. 15(S1). w13237–w13237. 8 indexed citations
9.
Schüetz, Philipp, Marcel Wolbers, Mirjam Christ‐Crain, et al.. (2010). Prohormones for prediction of adverse medical outcome in community-acquired pneumonia and lower respiratory tract infections. Critical Care. 14(3). R106–R106. 119 indexed citations
10.
Schild, Ursula, Katharina Regez, Robert V. Thomann, et al.. (2010). Which patients with lower respiratory tract infections need inpatient treatment? Perceptions of physicians, nurses, patients and relatives. BMC Pulmonary Medicine. 10(1). 12–12. 18 indexed citations
11.
Schild, Ursula, Katharina Regez, Robert V. Thomann, et al.. (2010). Steps to Take to Reduce Length of Hospital Stay in Patients With Lower Respiratory Tract Infections. Home Health Care Management & Practice. 27(4). 184–191. 1 indexed citations
12.
Schüetz, Philipp, Mirjam Christ‐Crain, Robert V. Thomann, et al.. (2009). Effect of Procalcitonin-Based Guidelines vs Standard Guidelines on Antibiotic Use in Lower Respiratory Tract Infections. JAMA. 302(10). 1059–1059. 665 indexed citations breakdown →
13.
Schüetz, Philipp, Mirjam Christ‐Crain, Robert V. Thomann, et al.. (2009). Effect of procalcitonin-based guidelines compared with standard guidelines on antibiotic use in lower respiratory tract infections: the randomized-controlled multicenter ProHOSP trial. Critical Care. 13(Suppl 1). P386–P386. 9 indexed citations
14.
Briel, Matthias, Philipp Schüetz, Beat Müeller, et al.. (2008). Procalcitonin-Guided Antibiotic Use vs a Standard Approach for Acute Respiratory Tract Infections in Primary Care. Archives of Internal Medicine. 168(18). 2000–2000. 232 indexed citations
15.
Schüetz, Philipp, Mirjam Christ‐Crain, Ursula Schild, et al.. (2008). Effect of a 14-day course of systemic corticosteroids on the hypothalamic-pituitary-adrenal-axis in patients with acute exacerbation of chronic obstructive pulmonary disease. BMC Pulmonary Medicine. 8(1). 1–1. 65 indexed citations
16.
Schüetz, Philipp, Mirjam Christ‐Crain, Marcel Wolbers, et al.. (2007). Procalcitonin guided antibiotic therapy and hospitalization in patients with lower respiratory tract infections: a prospective, multicenter, randomized controlled trial. BMC Health Services Research. 7(1). 102–102. 101 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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