E.C. Nice

852 citations
21 papers · 650 · h-index 12

Impact in

    • Cell Adhesion Molecules Research
    • Glycosylation and Glycoproteins Research
    • Advanced biosensing and bioanalysis techniques
    • Advanced Biosensing Techniques and Applications

Papers in

E.C. Nice

21 papers receiving 613 citations

Peers

E.C. Nice
Comparison fields: 5 of 93
  • Immunology and Allergy 46
  • Molecular Biology 418
  • Spectroscopy 98
  • Radiology, Nuclear Medicine and Imaging 109
  • Oncology 110
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Christopher Bystroff United States
Patricia K. Lumma United States
John A. Sogn United States
Peter G. Ng France
Charles Wartchow United States
Parkash Jhurani United States
Henrik Rahbek-Nielsen Denmark
Lori Andrews United States
Yoshio Taniyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by E.C. Nice

Since Specialization
Citations

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

Fields of papers citing papers by E.C. Nice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.C. Nice. 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 E.C. Nice. The network helps show where E.C. Nice may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987132
2 1999128
3 197158
4 200548
5 200748
6 198641
7 201532
8 201531
9 199126
10 200122
11 199121
12 199718
13 198911
14 198310
15 20015
16 19905
17 20024
18 20164
19 19804
20
Application of short microbore HPLC 'guard' columns for the preparation of samples for protein microsequencing
19851

About E.C. Nice

E.C. Nice is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Oncology and Biomedical Engineering, having authored 21 papers that have together received 650 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Analytical Chemistry and Chromatography (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Computational Drug Discovery Methods (2 papers), Glycosylation and Glycoproteins Research (2 papers), Chemical Synthesis and Analysis (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Immunology and Allergy (46 citations), Molecular Biology (418 citations), Spectroscopy (98 citations), Radiology, Nuclear Medicine and Imaging (109 citations) and Oncology (110 citations). E.C. Nice has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Bruno Catimel, Antony W. Burgess, Kurt Wüthrich, G.T. Montelione, Harold A. Scheraga, E. Boyland, Kenneth Williams, Mark S. Baker, Richard J. Simpson and Janet Weinstock. Their work appears in journals such as Journal of Biological Chemistry, Electrophoresis, Cancer Research, TrAC Trends in Analytical Chemistry and Growth Factors.

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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