B. Schulte‐Hubbert

416 total citations
10 papers, 148 citations indexed

About

B. Schulte‐Hubbert is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, B. Schulte‐Hubbert has authored 10 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in B. Schulte‐Hubbert's work include Pneumonia and Respiratory Infections (6 papers), Sepsis Diagnosis and Treatment (6 papers) and Emergency and Acute Care Studies (2 papers). B. Schulte‐Hubbert is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Sepsis Diagnosis and Treatment (6 papers) and Emergency and Acute Care Studies (2 papers). B. Schulte‐Hubbert collaborates with scholars based in Germany. B. Schulte‐Hubbert's co-authors include Martin Kolditz, Michael Halank, G. Höffken, Steffen Albrecht, S. Bergmann, Santiago Ewig, Nicole Lüneburg, Lars Harbaum, Hans Jörg Baumann and Jan K. Hennigs and has published in prestigious journals such as Scientific Reports, European Respiratory Journal and Clinical Microbiology and Infection.

In The Last Decade

B. Schulte‐Hubbert

10 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Schulte‐Hubbert Germany 6 91 41 24 22 21 10 148
Benjamin Post United Kingdom 5 80 0.9× 37 0.9× 31 1.3× 31 1.4× 13 0.6× 7 161
Umut Sabri Kasapoğlu Türkiye 8 45 0.5× 58 1.4× 18 0.8× 29 1.3× 15 0.7× 28 173
Elisabeth Coupez France 8 29 0.3× 26 0.6× 20 0.8× 27 1.2× 48 2.3× 11 167
John C. Lin United States 5 54 0.6× 21 0.5× 15 0.6× 18 0.8× 5 0.2× 9 88
Abdul Malik Sheikh Pakistan 6 30 0.3× 23 0.6× 12 0.5× 6 0.3× 56 2.7× 18 124
Win Kulvichit Thailand 8 28 0.3× 11 0.3× 20 0.8× 20 0.9× 8 0.4× 16 144
J. P. Mira France 4 55 0.6× 10 0.2× 26 1.1× 28 1.3× 7 0.3× 5 166
Lisa A. Hom United States 8 109 1.2× 76 1.9× 18 0.8× 12 0.5× 27 1.3× 16 182
Avash Singh Canada 7 25 0.3× 67 1.6× 10 0.4× 13 0.6× 5 0.2× 9 144
Sophia Papadopoulou Greece 5 80 0.9× 11 0.3× 19 0.8× 39 1.8× 7 0.3× 13 150

Countries citing papers authored by B. Schulte‐Hubbert

Since Specialization
Citations

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

Fields of papers citing papers by B. Schulte‐Hubbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Schulte‐Hubbert. 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 B. Schulte‐Hubbert. The network helps show where B. Schulte‐Hubbert may publish in the future.

Co-authorship network of co-authors of B. Schulte‐Hubbert

This figure shows the co-authorship network connecting the top 25 collaborators of B. Schulte‐Hubbert. A scholar is included among the top collaborators of B. Schulte‐Hubbert 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 B. Schulte‐Hubbert. B. Schulte‐Hubbert 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.
Nährlich, Lutz, Annette Sauer‐Heilborn, Martin Schebek, et al.. (2023). Every CFTR variant counts – Target-capture based next-generation-sequencing for molecular diagnosis in the German CF Registry. Journal of Cystic Fibrosis. 23(4). 774–781. 2 indexed citations
2.
Schulte‐Hubbert, B., et al.. (2023). Chronic inhaled antibiotic therapy in people with cystic fibrosis with Pseudomonas aeruginosa infection in Germany. Pulmonary Pharmacology & Therapeutics. 80. 102214–102214. 1 indexed citations
3.
4.
Schulte‐Hubbert, B., et al.. (2020). Limited prognostic accuracy of the CRB-65 and qSOFA in patients presenting with pneumonia and immunosuppression. European Journal of Internal Medicine. 81. 71–77. 3 indexed citations
5.
6.
Schulte‐Hubbert, B., et al.. (2017). Admission lactate predicts poor prognosis independently of the CRB/CURB-65 scores in community-acquired pneumonia. Clinical Microbiology and Infection. 24(3). 306.e1–306.e6. 31 indexed citations
7.
8.
Hennigs, Jan K., Hans Jörg Baumann, Nicole Lüneburg, et al.. (2014). Fibrinogen plasma concentration is an independent marker of haemodynamic impairment in chronic thromboembolic pulmonary hypertension. Scientific Reports. 4(1). 4808–4808. 17 indexed citations
9.
Kolditz, Martin, Michael Halank, B. Schulte‐Hubbert, et al.. (2012). Copeptin predicts clinical deterioration and persistent instability in community-acquired pneumonia. Respiratory Medicine. 106(9). 1320–1328. 45 indexed citations
10.
Kolditz, Martin, Michael Halank, B. Schulte‐Hubbert, & G. Höffken. (2010). Adrenal function is related to prognosis in moderate community-acquired pneumonia. European Respiratory Journal. 36(3). 615–621. 29 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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