Saskia Knies

59 total papers · 1.1k total citations
40 papers, 618 citations indexed

About

Saskia Knies is a scholar working on Economics and Econometrics, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Saskia Knies has authored 40 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Economics and Econometrics, 20 papers in General Health Professions and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Saskia Knies's work include Health Systems, Economic Evaluations, Quality of Life (32 papers), Healthcare cost, quality, practices (13 papers) and Pharmaceutical Economics and Policy (7 papers). Saskia Knies is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (32 papers), Healthcare cost, quality, practices (13 papers) and Pharmaceutical Economics and Policy (7 papers). Saskia Knies collaborates with scholars based in Netherlands, United Kingdom and Hungary. Saskia Knies's co-authors include Johan L. Severens, Silvia Evers, André J.H.A. Ament, M. Rita I. Young, Math J. J. M. Candel, Hendrik Koffijberg, Claire Rothery, Elisabeth Fenwick, James F. Murray and Anirban Basu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Health and Quality of Life Outcomes and Value in Health.

In The Last Decade

Saskia Knies

39 papers receiving 606 citations

Author Peers

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

Author						Papers	Cites
Saskia Knies	344	173	45	40	37	40	618
Hélène Chevrou‐Séverac	373 1.1×	144 0.8×	60 1.3×	43 1.1×	74 2.0×	28	685
Jonathan M. Ross	105 0.3×	176 1.0×	80 1.8×	28 0.7×	42 1.1×	29	594
Sabine Grimm	203 0.6×	102 0.6×	55 1.2×	13 0.3×	59 1.6×	50	506
Thomas Keeley	265 0.8×	193 1.1×	75 1.7×	19 0.5×	53 1.4×	20	650
Shelby D. Reed	344 1.0×	137 0.8×	57 1.3×	18 0.5×	64 1.7×	14	600
Nancy J.W. Lewis	228 0.7×	140 0.8×	60 1.3×	12 0.3×	57 1.5×	21	571
Rick A. Vreman	371 1.1×	80 0.5×	32 0.7×	25 0.6×	23 0.6×	53	662
Michael Chambers	234 0.7×	116 0.7×	36 0.8×	28 0.7×	70 1.9×	22	621
Eline van Overbeeke	320 0.9×	149 0.9×	44 1.0×	42 1.1×	11 0.3×	26	668
Hosein Ameri	268 0.8×	102 0.6×	46 1.0×	25 0.6×	23 0.6×	49	590

Countries citing papers authored by Saskia Knies

Since Specialization

Citations

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

Fields of papers citing papers by Saskia Knies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia Knies

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