Cornelia Bellamacina

1.3k citations
13 papers · 675 indexed · h-index 10
Topics
Protein Structure and Dynamics (4 papers)Enzyme Structure and Function (4 papers)Synthesis and biological activity (3 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

Cornelia Bellamacina

13 papers receiving 650 citations

Peers

Cornelia Bellamacina
Comparison fields: 5 of 73
  • Molecular Biology 511
  • Materials Chemistry 211
  • Computational Theory and Mathematics 153
  • Organic Chemistry 114
  • Oncology 73
Replace Mingyun Shen with:
Mingyun Shen China
Nicole Caspers United States
Valério Berdini United Kingdom
Masaichi Warizaya Japan
Marco Mazzorana Italy
Andrea Olland United States
Christine Rudolph Germany
Rock Breton Canada
James R. Gillig United States
Mark R. Southern United States
Cornelia Bellamacina relative to Mingyun Shen China Mingyun Shen's profile →
Citations per field
00.5×2.9×
Mingyun Shen · 1×
Citations per year

Countries citing papers authored by Cornelia Bellamacina

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Bellamacina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Bellamacina

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Bellamacina. A scholar is included among the top collaborators of Cornelia Bellamacina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cornelia Bellamacina. Cornelia Bellamacina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 13
3 14
4 47
5 26
6 122
7 13
8 22
9 44
10
Molecular interactions in crystal structures of potent inhibitors bound to the kinase domain of Tie-2
2
11 1
12 213
13 154

About Cornelia Bellamacina

Cornelia Bellamacina is a scholar working on Biological Psychiatry, Physiology and Virology, having authored 13 papers that have together received 675 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Molecular Biology (511 citations) and Biochemistry (41 citations). Cornelia Bellamacina has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Dagmar Ringe, Gregory A. Petsko, Carla Mattos, Karen N. Allen, Xiaochun Ding, Constance J. Jeffery, Ezra Peisach, Dennis Vitkup, Mika Lindvall and Wooseok Han. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and The Journal of Physical 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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