Cynthia Ebert

2.3k citations
84 papers · 2k · h-index 22

Impact in

    • Enzyme Catalysis and Immobilization
    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • biodegradable polymer synthesis and properties

Papers in

Cynthia Ebert

83 papers receiving 1.9k citations

Peers

Cynthia Ebert
Comparison fields: 5 of 80
  • Molecular Biology 1.3k
  • Biomaterials 197
  • Biotechnology 79
  • Catalysis 56
  • Computational Theory and Mathematics 135
Replace Xianfu Lin with:
Xianfu Lin China
Yuri L. Khmelnitsky United States
Rui P. P. Neves Portugal
Alessandra Basso Italy
Shuke Wu Singapore
Tom D. Sheppard United Kingdom
Giancarlo Fantin Italy
Radka Šnajdrová Switzerland
Florin Dan Irimie Romania
Christoph K. Winkler Austria
Cynthia Ebert relative to Xianfu Lin China Xianfu Lin's profile →
Citations per field
00.5×2×4×6×8.4×
Xianfu Lin · 1×
Citations per year

Countries citing papers authored by Cynthia Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cynthia Ebert. 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 Cynthia Ebert. The network helps show where Cynthia Ebert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013415
2 1989102
3 201797
4 201568
5 201564
6 200751
7 201146
8 199444
9 201642
10 200941
11 201840
12 200539
13 201534
14 201934
15 201633
16 200032
17 200030
18 200630
19 199029
20 199624

About Cynthia Ebert

Cynthia Ebert is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Analytical Chemistry and Biomaterials, having authored 84 papers that have together received 2k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (53 papers), Computational Drug Discovery Methods (13 papers), Chemical Reaction Mechanisms (9 papers), Protein Structure and Dynamics (7 papers), biodegradable polymer synthesis and properties (4 papers), Chemical Synthesis and Analysis (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Structural and Chemical Analysis of Organic and Inorganic Compounds (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Biomaterials (197 citations), Biotechnology (79 citations), Catalysis (56 citations) and Computational Theory and Mathematics (135 citations). Cynthia Ebert has collaborated with scholars based in Italy, Germany and Austria. Frequent co-authors include Lucia Gardossi, Valerio Ferrario, Paolo Linda, Sara Cantone, Livia Corîci, Patrizia Spizzo, Alessandra Basso, Diana Fattor, Alessandro Pellis and Paolo Braiuca. Their work appears in journals such as Journal of Molecular Catalysis B Enzymatic, Advanced Synthesis & Catalysis, Tetrahedron Letters, Tetrahedron and Green Chemistry.

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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