Piet Swart

18 total papers · 539 total citations
17 papers, 421 citations indexed

About

Piet Swart is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Piet Swart has authored 17 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Oncology. Recurrent topics in Piet Swart's work include Pharmacogenetics and Drug Metabolism (6 papers), RNA Interference and Gene Delivery (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Piet Swart is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), RNA Interference and Gene Delivery (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Piet Swart collaborates with scholars based in Switzerland, United States and China. Piet Swart's co-authors include Joel A. Krauser, François Natt, Jürg Hunziker, Markus Walles, Thomas Faller, Eunju Hurh, Esther van de Kerkhof, Markus Zollinger, Yi Jin and Gian Camenisch and has published in prestigious journals such as PLoS ONE, Drug Discovery Today and Drug Metabolism and Disposition.

In The Last Decade

Piet Swart

17 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Piet Swart	221	86	53	33	31	17	421
Archie Thurston	165 0.7×	72 0.8×	123 2.3×	18 0.5×	47 1.5×	18	494
B. A. John	113 0.5×	41 0.5×	39 0.7×	12 0.4×	22 0.7×	19	445
Ingrid Påhlman	123 0.6×	73 0.8×	151 2.8×	26 0.8×	30 1.0×	19	455
Kathryn N. Ham	119 0.5×	71 0.8×	50 0.9×	14 0.4×	56 1.8×	23	461
Lakshmi Vasist	220 1.0×	55 0.6×	184 3.5×	24 0.7×	20 0.6×	17	475
Gregory L. Weber	188 0.9×	29 0.3×	68 1.3×	10 0.3×	59 1.9×	20	477
Qiaoli Shi	189 0.9×	55 0.6×	32 0.6×	7 0.2×	31 1.0×	22	381
Don C. Wood	130 0.6×	15 0.2×	27 0.5×	21 0.6×	22 0.7×	17	377
Lolita C. Rodriguez	173 0.8×	64 0.7×	37 0.7×	35 1.1×	30 1.0×	15	391
Min Lü	151 0.7×	56 0.7×	65 1.2×	4 0.1×	23 0.7×	22	467

Countries citing papers authored by Piet Swart

Since Specialization

Citations

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

Fields of papers citing papers by Piet Swart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piet Swart

This figure shows the co-authorship network connecting the top 25 collaborators of Piet Swart. A scholar is included among the top collaborators of Piet Swart 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 Piet Swart. Piet Swart 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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