Daniela Gompelmann

4.1k citations
146 papers · 2.9k · h-index 32

Impact in

Papers in

Daniela Gompelmann

130 papers receiving 2.8k citations

Peers

Daniela Gompelmann
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 2.4k
  • Anesthesiology and Pain Medicine 47
  • Neurology 79
  • Health Informatics 12
  • Anatomy 9
Replace Sebastián Fernández-Bussy with:
Sebastián Fernández-Bussy United States
Roberto F. Casal United States
David L. Spizarny United States
Douglas J. Minnich United States
Frederick P. Stitik United States
Heinrich D. Becker Germany
P L Choyke United States
Samuel V. Kemp United Kingdom
Ko Pen Wang United States
Demet Karnak Türkiye
Daniela Gompelmann relative to Sebastián Fernández-Bussy United States Sebastián Fernández-Bussy's profile →
Citations per field
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Sebastián Fernández-Bussy · 1×
Citations per year

Countries citing papers authored by Daniela Gompelmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gompelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2016132
3 2010115
4 2011102
5 200999
6 201098
7 201594
8 202087
9 201482
10 201479
11 201178
12 201075
13 201273
14 201156
15 201256
16 202155
17 201254
18 201351
19 201848
20 201744

About Daniela Gompelmann

Daniela Gompelmann is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Radiation, Oncology and Physiology, having authored 146 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (80 papers), Lung Cancer Diagnosis and Treatment (20 papers), Pleural and Pulmonary Diseases (9 papers), Tracheal and airway disorders (8 papers), Respiratory Support and Mechanisms (6 papers), Asthma and respiratory diseases (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.4k citations), Anesthesiology and Pain Medicine (47 citations), Neurology (79 citations), Health Informatics (12 citations) and Anatomy (9 citations). Daniela Gompelmann has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Felix J.F. Herth, Ralf Eberhardt, Armin Ernst, Claus Peter Heußel, Dirk‐Jan Slebos, Maren Schuhmann, Arschang Valipour, Manfred Wagner, Konstantina Kontogianni and Pallav L. Shah. Their work appears in journals such as Respiration, International Journal of COPD, European Respiratory Journal, ERJ Open Research and CHEST Journal.

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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