Inga V. Leus

46 total papers · 984 total citations
28 papers, 637 citations indexed

About

Inga V. Leus is a scholar working on Molecular Medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Inga V. Leus has authored 28 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Medicine, 11 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in Inga V. Leus's work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). Inga V. Leus is often cited by papers focused on Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). Inga V. Leus collaborates with scholars based in United States, Italy and Türkiye. Inga V. Leus's co-authors include Helen I. Zgurskaya, Valentin V. Rybenkov, Jon W. Weeks, Ganesh Krishnamoorthy, David Wolloscheck, Vincent Bonifay, Lauren A. Smith, Justyna Adamiak, Mohammad Moniruzzaman and Edward Yu and has published in prestigious journals such as Chemical Reviews, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Inga V. Leus

26 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Inga V. Leus 447 230 164 119 102 28 637
Sabine Schuster 471 1.1× 307 1.3× 161 1.0× 108 0.9× 70 0.7× 20 735
Julia Vergalli 350 0.8× 268 1.2× 124 0.8× 168 1.4× 59 0.6× 24 734
JoAnn Dzink-Fox 258 0.6× 189 0.8× 117 0.7× 94 0.8× 84 0.8× 22 561
Yongchang Xu 500 1.1× 185 0.8× 92 0.6× 85 0.7× 155 1.5× 37 729
Rongsui Gao 353 0.8× 209 0.9× 111 0.7× 111 0.9× 131 1.3× 15 648
Hiroyuki Akama 336 0.8× 283 1.2× 91 0.6× 196 1.6× 98 1.0× 16 639
Elena López‐Camacho 293 0.7× 332 1.4× 71 0.4× 184 1.5× 85 0.8× 44 751
Roberta T. Mettus 558 1.2× 165 0.7× 184 1.1× 56 0.5× 182 1.8× 22 680
F. Bellido 356 0.8× 131 0.6× 263 1.6× 73 0.6× 67 0.7× 24 566
Jared A. Delmar 237 0.5× 287 1.2× 61 0.4× 141 1.2× 71 0.7× 23 738

Countries citing papers authored by Inga V. Leus

Since Specialization
Citations

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

Fields of papers citing papers by Inga V. Leus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inga V. Leus. 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 Inga V. Leus. The network helps show where Inga V. Leus may publish in the future.

Co-authorship network of co-authors of Inga V. Leus

This figure shows the co-authorship network connecting the top 25 collaborators of Inga V. Leus. A scholar is included among the top collaborators of Inga V. Leus 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 Inga V. Leus. Inga V. Leus 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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