E.C. Nice

853 citations
22 papers · 713 · h-index 13

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

22 papers receiving 661 citations

Peers

E.C. Nice
Comparison fields: 5 of 97
  • Immunology and Allergy 49
  • Molecular Biology 443
  • Spectroscopy 107
  • Radiology, Nuclear Medicine and Imaging 113
  • Oncology 114
Replace Kathleen S. Molnar with:
Kathleen S. Molnar United States
Christopher Bystroff United States
Beat Wipf Switzerland
Chi‐Deu Chang United States
Peter G. Ng France
Margot G. Paulick United States
Charles Wartchow United States
Parkash Jhurani United States
Yoshio Taniyama Japan
Henrik Rahbek-Nielsen Denmark
E.C. Nice relative to Kathleen S. Molnar United States Kathleen S. Molnar's profile →
Citations per field
00.5×3.1×
Kathleen S. Molnar · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999141
2 1987140
3 197173
4 200555
5 200748
6 198644
7 201534
8 201534
9 199127
10 199124
11 200122
12 199720
13 198912
14 198310
15 20026
16 19806
17 20015
18 19905
19 20164
20 20161

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 22 papers that have together received 713 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Analytical Chemistry and Chromatography (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Immunology and Allergy (49 citations), Molecular Biology (443 citations), Spectroscopy (107 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Oncology (114 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, Harold A. Scheraga, G.T. Montelione, Kurt Wüthrich, E. Boyland, Kenneth Williams, Mark S. Baker, Richard J. Simpson and R Whitehead. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography A and Journal of Proteomics.

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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