Gerhard Schillinger

1.4k citations
19 papers · 816 · h-index 8

Impact in

Papers in

    • COVID-19 Clinical Research Studies 3
    • Head and Neck Surgical Oncology 2
    • Surgical Sutures and Adhesives 1

Gerhard Schillinger

18 papers receiving 791 citations

Peers

Gerhard Schillinger
Comparison fields: 5 of 97
  • Infectious Diseases 206
  • Critical Care and Intensive Care Medicine 49
  • Neurology 130
  • Modeling and Simulation 37
  • Oncology 122
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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-authors

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

19 of 19 papers shown
#Work
1 2020479
2 196773
3 202167
4 201547
5 199938
6 200031
7 201826
8 200322
9 20216
10 20216
11 20015
12 20005
13 20184
14 20172
15 20192
16
Eco-Thinking, Economic and Social Action: Sustainability is Multi-Layered
20091
17 20131
18
Stationäre und intensivmedizinische Versorgungsstrukturen von COVID-19-Patienten bis Juli 2020 Structure of hospital care for COVID-19 patients up to July 2020 in Germany
20211
19 20250

About Gerhard Schillinger

Gerhard Schillinger is a scholar working on Infectious Diseases, Surgery, Neurology, General Health Professions and Molecular Biology, having authored 19 papers that have together received 816 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Head and Neck Surgical Oncology (2 papers), Meningioma and schwannoma management (2 papers), Long-Term Effects of COVID-19 (2 papers), Healthcare cost, quality, practices (2 papers), Glycosylation and Glycoproteins Research (1 paper), Respiratory Support and Mechanisms (1 paper) and Surgical Sutures and Adhesives (1 paper). The work is most often cited by research in Infectious Diseases (206 citations), Critical Care and Intensive Care Medicine (49 citations), Neurology (130 citations), Modeling and Simulation (37 citations) and Oncology (122 citations). Gerhard Schillinger has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Reinhard Busse, Christian Karagiannidis, Steffen Weber‐Carstens, Jürgen Malzahn, Carina Mostert, Corinna Hentschker, Jürgen Klauber, Uwe Janssens, Gernot Marx and Stefan Kluge. Their work appears in journals such as min - Minimally Invasive Neurosurgery, Journal of Chromatography A, Journal of Neuro-Oncology, The Lancet Respiratory Medicine and European Journal of Clinical Pharmacology.

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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