A.I. Liapis

135 total papers · 4.7k total citations
122 papers, 3.9k citations indexed

About

A.I. Liapis is a scholar working on Biomedical Engineering, Spectroscopy and Molecular Biology. According to data from OpenAlex, A.I. Liapis has authored 122 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Biomedical Engineering, 51 papers in Spectroscopy and 50 papers in Molecular Biology. Recurrent topics in A.I. Liapis's work include Protein purification and stability (50 papers), Analytical Chemistry and Chromatography (49 papers) and Microfluidic and Capillary Electrophoresis Applications (47 papers). A.I. Liapis is often cited by papers focused on Protein purification and stability (50 papers), Analytical Chemistry and Chromatography (49 papers) and Microfluidic and Capillary Electrophoresis Applications (47 papers). A.I. Liapis collaborates with scholars based in United States, Germany and United Kingdom. A.I. Liapis's co-authors include R. Bruttini, J.J Meyers, Brian A. Grimes, O. K. Crosser, Mark A. McCoy, Hasan Sadıkoğlu, D.W.T. Rippin, Paul Sheehan, Jingjing Wang and C. D. Holland and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of The Electrochemical Society.

In The Last Decade

A.I. Liapis

122 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A.I. Liapis 1.6k 1.6k 1.3k 725 609 122 3.9k
Peter York 841 0.5× 1.4k 0.9× 1.4k 1.1× 214 0.3× 857 1.4× 144 6.8k
J. M. Prausnitz 483 0.3× 2.4k 1.5× 749 0.6× 498 0.7× 177 0.3× 120 5.5k
Jerry Y. Y. Heng 622 0.4× 814 0.5× 872 0.7× 218 0.3× 273 0.4× 164 4.1k
Paul D. I. Fletcher 1.2k 0.7× 1.6k 1.0× 843 0.6× 232 0.3× 993 1.6× 170 7.6k
Xia Liu 867 0.5× 1.8k 1.2× 584 0.4× 268 0.4× 188 0.3× 160 6.2k
John Villadsen 4.0k 2.4× 2.4k 1.6× 382 0.3× 135 0.2× 644 1.1× 150 7.0k
J. Axel Zeitler 623 0.4× 2.6k 1.7× 2.2k 1.7× 418 0.6× 450 0.7× 266 9.6k
Hiromi Yamakawa 1.5k 0.9× 1.6k 1.0× 820 0.6× 166 0.2× 578 0.9× 188 9.2k
Graham Buckton 652 0.4× 490 0.3× 1.4k 1.1× 282 0.4× 1.2k 1.9× 174 5.5k
Magnus Nydén 489 0.3× 698 0.5× 389 0.3× 392 0.5× 299 0.5× 141 3.8k

Countries citing papers authored by A.I. Liapis

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Liapis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Liapis. 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 A.I. Liapis. The network helps show where A.I. Liapis may publish in the future.

Co-authorship network of co-authors of A.I. Liapis

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

All Works

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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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