D. Ukena
- Physiology top 0.2%
- Adenosine and Purinergic Signaling 26
- Asthma and respiratory diseases 24
-
- Lung Cancer Diagnosis and Treatment 39
- Lung Cancer Treatments and Mutations 37
- Medical Imaging and Pathology Studies 11
- Respiratory and Cough-Related Research 10
- Physiology top 2%
- Adenosine and Purinergic Signaling 26
- Asthma and respiratory diseases 24
- Radiation top 5%
-
- Lung Cancer Research Studies 13
-
- Receptor Mechanisms and Signaling 10
- Co-authors
- John W. DalyGerhard W. SybrechtUlrich SchwabeD. HellwigWilliam L. PadgettKenneth A. JacobsonMartin J. LohseMah T. Shamim
- Journals
- Naunyn-Schmiedeberg s Archives of Pharmacology (9 papers)Lung Cancer (7 papers)Annals of Oncology (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
D. Ukena
126 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 124
- Physiology 846
- Pulmonary and Respiratory Medicine 1.6k
- Physiology 805
- Radiology, Nuclear Medicine and Imaging 682
- Radiation 223
Countries citing papers authored by D. Ukena
This map shows the geographic impact of D. Ukena'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 D. Ukena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ukena more than expected).
Fields of papers citing papers by D. Ukena
This network shows the impact of papers produced by D. Ukena. 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 D. Ukena. The network helps show where D. Ukena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Ukena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 7 | |
| 2 | 2017 | 62 | |
| 3 | 2015 | 1 | |
| 4 | 2012 | 1 | |
| 5 | 2006 | 8 | |
| 6 | 2005 | 2 | |
| 7 | 2001 | 10 | |
| 8 | 2001 | 4 | |
| 9 | 2000 | 5 | |
| 10 | 2000 | 3 | |
| 11 | 1997 | 109 | |
| 12 | 1997 | 2 | |
| 13 | 1997 | 13 | |
| 14 | 1997 | 1 | |
| 15 | 1996 | 8 | |
| 16 | 1995 | 5 | |
| 17 | 1991 | 83 | |
| 18 | 1989 | 39 | |
| 19 | 1989 | 63 | |
| 20 | 1988 | 49 |
About D. Ukena
D. Ukena is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Microbiology, having authored 133 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (39 papers), Lung Cancer Treatments and Mutations (37 papers), Adenosine and Purinergic Signaling (26 papers), Asthma and respiratory diseases (24 papers), Lung Cancer Research Studies (13 papers), Medical Imaging and Pathology Studies (11 papers), Respiratory and Cough-Related Research (10 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Physiology (846 citations), Pulmonary and Respiratory Medicine (1.6k citations) and Physiology (805 citations). D. Ukena has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include John W. Daly, Gerhard W. Sybrecht, Ulrich Schwabe, D. Hellwig, William L. Padgett, Kenneth A. Jacobson, Martin J. Lohse, Mah T. Shamim, Thomas Graeter and Peter J. Barnes. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Lung Cancer, Annals of Oncology, FEBS Letters and Journal of Medicinal Chemistry.
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.