Florian Mayr

6.3k citations
84 papers · 3.6k · 1 hit paper · h-index 31

Impact in

Papers in

Florian Mayr

79 papers receiving 3.5k citations

Florian Mayr's Hit Papers

Epidemiology of severe sepsis 2013 · 894 citations
8940+4+8Years since publication250500750

Peers

Florian Mayr
Comparison fields: 5 of 144
  • Critical Care and Intensive Care Medicine 710
  • Epidemiology 1.4k
  • Internal Medicine 145
  • Emergency Medicine 366
  • Immunology 741
Replace Naoki Aikawa with:
Naoki Aikawa Japan
Alison Fox‐Robichaud Canada
Gary T. Kinasewitz United States
José A. Lorente Spain
Satoshi Fujimi Japan
Fabrice Zéni France
Howard Levy United States
Lonneke A. van Vught Netherlands
Peter Q. Eichacker United States
Brendon P. Scicluna Netherlands
Florian Mayr relative to Naoki Aikawa Japan Naoki Aikawa's profile →
Citations per field
00.5×1.5×
Naoki Aikawa · 1×
Citations per year

Countries citing papers authored by Florian Mayr

Since Specialization
Citations

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

Fields of papers citing papers by Florian Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Mayr, 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 Florian Mayr Line = papers co-authored together Florian Mayr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of severe sepsis
Hit paper breakdown →
2013894
2 2010219
3 2019167
4 2004153
5 2006141
6 2019136
7 2014126
8 200397
9 201395
10 201192
11 202183
12 201277
13 201067
14 200965
15 200261
16 200856
17 201354
18 200952
19 200652
20 200452

About Florian Mayr

Florian Mayr is a scholar working on Epidemiology, Molecular Biology, Critical Care and Intensive Care Medicine, Infectious Diseases and Hematology, having authored 84 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (20 papers), COVID-19 Clinical Research Studies (11 papers), Immune Response and Inflammation (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Cardiac Arrest and Resuscitation (9 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), Platelet Disorders and Treatments (7 papers) and Antiplatelet Therapy and Cardiovascular Diseases (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (710 citations), Epidemiology (1.4k citations), Internal Medicine (145 citations), Emergency Medicine (366 citations) and Immunology (741 citations). Florian Mayr has collaborated with scholars based in United States, Austria and Qatar. Frequent co-authors include Sachin Yende, Derek C. Angus, Bernd Jilma, Alexander Spiel, Udo Heinemann, Christa Firbas, Judith Leitner, Claudia Marsik, Obaid S. Shaikh and Adeel A. Butt. Their work appears in journals such as Critical Care Medicine, Resuscitation, Clinical Infectious Diseases, Blood and Clinical Pharmacology & Therapeutics.

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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