T. E. Ukena
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Glycosylation and Glycoproteins Research
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
Papers in
-
- Cell Adhesion Molecules Research 2
- Co-authors
- Richard D. BerlinMorris J. KarnovskyR D BerlinJanet M. OliverElizabeth C. AndersonThomas DucibellaJoan Z. BorysenkoJosé M. Oliver
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Cell Biology (2 papers)Nature (2 papers)New England Journal of Medicine (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- United States
In The Last Decade
T. E. Ukena
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 311
- Molecular Biology 1.0k
- Immunology 270
- Physiology 267
- Immunology and Allergy 50
Countries citing papers authored by T. E. Ukena
This map shows the geographic impact of T. E. 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 T. E. Ukena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Ukena more than expected).
Fields of papers citing papers by T. E. Ukena
This network shows the impact of papers produced by T. E. 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 T. E. Ukena. The network helps show where T. E. Ukena may publish in the future.
Co-authors
The 25 scholars most cited alongside T. E. 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 | 2015 | 0 | |
| 2 | 2013 | 0 | |
| 3 | 1989 | 18 | |
| 4 | 1987 | 3 | |
| 5 | 1987 | 80 | |
| 6 | 1978 | 56 | |
| 7 | 1978 | 7 | |
| 8 | 1977 | 10 | |
| 9 | 1977 | 17 | |
| 10 | 1977 | 41 | |
| 11 | 1977 | 24 | |
| 12 | 1976 | 18 | |
| 13 | 1975 | 92 | |
| 14 | 1974 | 152 | |
| 15 | 1973 | 30 | |
| 16 | 1973 | 165 | |
| 17 | 1972 | 159 | |
| 18 | 1972 | 98 | |
| 19 | 1972 | 81 | |
| 20 | 1969 | 16 |
About T. E. Ukena
T. E. Ukena is a scholar working on Immunology and Allergy, Pharmacology, Molecular Biology, Hematology and Physiology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Glycosylation and Glycoproteins Research (5 papers), Erythrocyte Function and Pathophysiology (3 papers), RNA Interference and Gene Delivery (3 papers), Reproductive Biology and Fertility (3 papers), Blood properties and coagulation (3 papers), Cell Adhesion Molecules Research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Cell Biology (311 citations), Molecular Biology (1.0k citations), Immunology (270 citations), Physiology (267 citations) and Immunology and Allergy (50 citations). T. E. Ukena has collaborated with scholars based in United States. Frequent co-authors include Richard D. Berlin, Morris J. Karnovsky, R D Berlin, Janet M. Oliver, Elizabeth C. Anderson, Thomas Ducibella, Joan Z. Borysenko, José M. Oliver, Samuel E. Lux and K M John. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Nature, New England Journal of Medicine and Journal of Cell Science.
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.