D. E. Nitecki

727 citations
20 papers · 671 · h-index 13

Impact in

  • Biophysics top 5%
    • Electron Spin Resonance Studies
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Chemical Synthesis and Analysis 4
    • Protein Hydrolysis and Bioactive Peptides 2
    • Biochemical and Structural Characterization 2
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3

D. E. Nitecki

18 papers receiving 575 citations

Peers

D. E. Nitecki
Comparison fields: 5 of 84
  • Biophysics 85
  • Immunology 190
  • Radiology, Nuclear Medicine and Imaging 144
  • Hepatology 45
  • Physiology 25
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Citations per field
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Citations per year

Countries citing papers authored by D. E. Nitecki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. E. Nitecki Line = papers co-authored together D. E. Nitecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1983143
2 1982110
3 197681
4 197672
5 198557
6 196755
7 199624
8 197224
9 198919
10 197819
11 197718
12 197116
13 197613
14 19677
15 19764
16 19773
17 19823
18
Time sequence study of the cellular immune response to L-tyrosine–p-azobenzenearsonate in guinea-pigs
19751
19 19791
20 19691

About D. E. Nitecki

D. E. Nitecki is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 671 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Chemical Synthesis and Analysis (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Analytical Chemistry and Chromatography (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Biophysics (85 citations), Immunology (190 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Hepatology (45 citations) and Physiology (25 citations). D. E. Nitecki has collaborated with scholars based in United States and France. Frequent co-authors include B. Halpern, Raymond Ranken, G K Lewis, J. W. Goodman, R C Brasch, L. Dallas Tuck, Girish N. Vyas, Richard D. Williams, T N Tozer and George Wesbey. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Tetrahedron Letters, Biopolymers and Clinical & Experimental Immunology.

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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