Gerhard Schillinger

1.3k citations
16 papers · 766 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Gerhard Schillinger

15 papers receiving 743 citations

Hit Papers

Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study 2020 · 459 citations
4592020202620222024100200300400

Peers

Gerhard Schillinger
Comparison fields: 5 of 105
  • Infectious Diseases 315
  • Critical Care and Intensive Care Medicine 88
  • Neurology 238
  • Modeling and Simulation 50
  • Oncology 178
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Schillinger

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schillinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gerhard Schillinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerhard Schillinger Line = papers co-authored together Gerhard Schillinger links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 202163
3 20214
4 20216
5
Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study
Hit paper breakdown →
2020459
6 201821
7 20184
8 20172
9 201543
10
Eco-Thinking, Economic and Social Action: Sustainability is Multi-Layered
20091
11 200321
12 20014
13 200027
14 20005
15 199937
16 196769

About Gerhard Schillinger

Gerhard Schillinger is a scholar working on Neurology, Internal Medicine, Infectious Diseases, Cancer Research and Anesthesiology and Pain Medicine, having authored 16 papers that have together received 766 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 and healthcare impacts (3 papers), Head and Neck Surgical Oncology (2 papers), Meningioma and schwannoma management (2 papers), Glycosylation and Glycoproteins Research (1 paper), Health and Medical Studies (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Infectious Diseases (315 citations), Critical Care and Intensive Care Medicine (88 citations), Neurology (238 citations), Modeling and Simulation (50 citations) and Oncology (178 citations). Gerhard Schillinger has collaborated with scholars based in Germany and France. Frequent co-authors include Reinhard Busse, Steffen Weber‐Carstens, Christian Karagiannidis, Uwe Janssens, Jürgen Malzahn, Michael Pfeifer, Thomas Voshaar, Jürgen Klauber, Carina Mostert and Stefan Kluge. Their work appears in journals such as min - Minimally Invasive Neurosurgery, Journal of Chromatography A, Acta Neurochirurgica, British journal of surgery and International Journal of Technology Assessment in Health Care.

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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