C.A.G. Ittner

13 papers receiving 392 citations

Peers

C.A.G. Ittner
Comparison fields: 5 of 85
  • Critical Care and Intensive Care Medicine 80
  • Health Informatics 6
  • Nephrology 31
  • Pulmonary and Respiratory Medicine 132
  • Infectious Diseases 71
Replace Emmanuel Schneck with:
Emmanuel Schneck Germany
Noriyuki Hattori Japan
Alexander D. Cornet Netherlands
Lidia Łysenko Poland
Jan Bruensing Germany
Christine Fegbeutel Germany
Takashi Shimazui Japan
Michele Domenico Spampinato Italy
Andrzej Siemiątkowski Poland
Katrin Ludewig Germany
C.A.G. Ittner relative to Emmanuel Schneck Germany Emmanuel Schneck's profile →
Citations per field
00.5×1.5×1.8×
Emmanuel Schneck · 1×
Citations per year

Countries citing papers authored by C.A.G. Ittner

Since Specialization
Citations

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

Fields of papers citing papers by C.A.G. Ittner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A.G. Ittner. 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 C.A.G. Ittner. The network helps show where C.A.G. Ittner may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201975
2 201864
3 202151
4 201948
5 202245
6 202143
7 201934
8 202313
9 201613
10 20234
11 20232
12 20211
13 20191
14 20230
15 20250

About C.A.G. Ittner

C.A.G. Ittner is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine and Molecular Biology, having authored 15 papers that have together received 394 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Respiratory Support and Mechanisms (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), COVID-19 Clinical Research Studies (3 papers), Climate Change and Health Impacts (2 papers), Geriatric Care and Nursing Homes (1 paper), Long-Term Effects of COVID-19 (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (80 citations), Health Informatics (6 citations), Nephrology (31 citations), Pulmonary and Respiratory Medicine (132 citations) and Infectious Diseases (71 citations). C.A.G. Ittner has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include John P. Reilly, Nuala J. Meyer, Brian J. Anderson, M.G.S. Shashaty, Jason D. Christie, Nilam S. Mangalmurti, Tiffanie K. Jones, Hilary Faust, Daniel N. Holena and Paul N. Lanken. Their work appears in journals such as Critical Care, Intensive Care Medicine, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Lancet Digital Health and Journal of General Internal Medicine.

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.

Explore authors with similar magnitude of impact