D. E. Nitecki
Impact in
- Biophysics top 5%
- Electron Spin Resonance Studies
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
-
- T-cell and B-cell Immunology 5
-
- Chemical Synthesis and Analysis 6
- Polyamine Metabolism and Applications 1
- RNA Research and Splicing 1
- Co-authors
- B. Halpern (3 shared papers)Joel W. Goodman (2 shared papers)G K Lewis (1 shared paper)Raymond Ranken (1 shared paper)JOAN WRIGHT GOODMAN (4 shared papers)L. Dallas Tuck (1 shared paper)David R. Milich (1 shared paper)Hubert Erich Blum (1 shared paper)
- Journals
- The Journal of Experimental Medicine (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biopolymers (2 papers)Tetrahedron Letters (2 papers)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
D. E. Nitecki
18 papers receiving 566 citations
Peers
Comparison fields: 5 of 68
- Biophysics 77
- Immunology 150
- Physiology 17
- Molecular Biology 241
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by D. E. Nitecki
This map shows the geographic impact of D. E. Nitecki'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. E. Nitecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. E. Nitecki more than expected).
Fields of papers citing papers by D. E. Nitecki
This network shows the impact of papers produced by D. E. Nitecki. 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. E. Nitecki. The network helps show where D. E. Nitecki may publish in the future.
Co-authors
The 25 scholars most cited alongside D. E. Nitecki, 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 | 1983 | 145 | |
| 2 | 1982 | 111 | |
| 3 | 1976 | 81 | |
| 4 | 1976 | 71 | |
| 5 | 1985 | 56 | |
| 6 | 1967 | 55 | |
| 7 | 1972 | 24 | |
| 8 | 1996 | 24 | |
| 9 | 1977 | 18 | |
| 10 | 1978 | 18 | |
| 11 | 1989 | 18 | |
| 12 | 1971 | 16 | |
| 13 | 1976 | 13 | |
| 14 | 1967 | 7 | |
| 15 | 1976 | 4 | |
| 16 | 1977 | 3 | |
| 17 | 1982 | 3 | |
| 18 | 1969 | 1 | |
| 19 | Time sequence study of the cellular immune response to L-tyrosine–p-azobenzenearsonate in guinea-pigs | 1975 | 1 |
| 20 | 1979 | 0 |
About D. E. Nitecki
D. E. Nitecki is a scholar working on Immunology, Molecular Biology, Spectroscopy, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 669 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), T-cell and B-cell Immunology (5 papers), Advanced NMR Techniques and Applications (2 papers), Polyamine Metabolism and Applications (1 paper), Molecular spectroscopy and chirality (1 paper), RNA Research and Splicing (1 paper), Hepatitis B Virus Studies (1 paper) and Drug-Induced Adverse Reactions (1 paper). The work is most often cited by research in Biophysics (77 citations), Immunology (150 citations), Physiology (17 citations), Molecular Biology (241 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). D. E. Nitecki has collaborated with scholars based in United States and France. Frequent co-authors include B. Halpern, Joel W. Goodman, G K Lewis, Raymond Ranken, JOAN WRIGHT GOODMAN, L. Dallas Tuck, David R. Milich, Hubert Erich Blum, T N Tozer and Richard D. Williams. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Biopolymers, Tetrahedron Letters and Molecular Pharmacology.
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.