Vince J. LiCata

1.2k citations
41 papers · 962 indexed · h-index 19
Topics
Protein Structure and Dynamics (15 papers)DNA and Nucleic Acid Chemistry (14 papers)Hemoglobin structure and function (11 papers)
Partner nations
United StatesFrance

In The Last Decade

Vince J. LiCata

41 papers receiving 952 citations

Peers

Vince J. LiCata
Comparison fields: 5 of 100
  • Molecular Biology 797
  • Cell Biology 187
  • Materials Chemistry 137
  • Physiology 97
  • Genetics 93
Replace Ramaswamy Krishnamoorthi with:
Ramaswamy Krishnamoorthi United States
Teikichi Ikura Japan
Krzysztof Skowronek Poland
Margaret A. Daugherty United States
Guenther Schoellmann United States
Martin Brune Germany
P. Dokurno United Kingdom
Yves Dehouck Belgium
Neeti Sinha United States
Timothy Sharpe Switzerland
Vince J. LiCata relative to Ramaswamy Krishnamoorthi United States Ramaswamy Krishnamoorthi's profile →
Citations per field
00.5×2.7×
Ramaswamy Krishnamoorthi · 1×
Citations per year

Countries citing papers authored by Vince J. LiCata

Since Specialization
Citations

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

Fields of papers citing papers by Vince J. LiCata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vince J. LiCata. 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 Vince J. LiCata. The network helps show where Vince J. LiCata may publish in the future.

Co-authorship network of co-authors of Vince J. LiCata

This figure shows the co-authorship network connecting the top 25 collaborators of Vince J. LiCata. A scholar is included among the top collaborators of Vince J. LiCata 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 Vince J. LiCata. Vince J. LiCata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3 4
4 14
5 23
6 24
7 55
8 14
9 55
10 6
11 53
12 10
13 19
14 16
15 64
16 97
17 5
18 27
19 24
20 42

About Vince J. LiCata

Vince J. LiCata is a scholar working on Cell Biology, Molecular Biology and Biochemistry, having authored 41 papers that have together received 962 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), DNA and Nucleic Acid Chemistry (14 papers) and Hemoglobin structure and function (11 papers). The work is most often cited by research in Molecular Biology (797 citations), Cell Biology (187 citations) and Biochemistry (42 citations). Vince J. LiCata has collaborated with scholars based in United States and France. Frequent co-authors include Gary K. Ackers, Norma M. Allewell, Kausiki Datta, David Bernlohr, Chin‐Chi Liu, Natalie Ribarik Coe, Allison J. Richard, Melanie A. Simpson, Ermanna Rovida and Paula M. Dalessio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

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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