Pim de Haan

81 total papers · 1.9k total citations
29 papers, 974 citations indexed

About

Pim de Haan is a scholar working on Biomedical Engineering, Pharmaceutical Science and Surgery. According to data from OpenAlex, Pim de Haan has authored 29 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Pharmaceutical Science and 3 papers in Surgery. Recurrent topics in Pim de Haan's work include 3D Printing in Biomedical Research (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Drug Solubulity and Delivery Systems (5 papers). Pim de Haan is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Drug Solubulity and Delivery Systems (5 papers). Pim de Haan collaborates with scholars based in Netherlands, United States and Switzerland. Pim de Haan's co-authors include Elisabeth Verpoorte, Yi‐Chin Toh, Zhu Chen, Noo Li Jeon, Michael L. Shuler, Chak Ming Leung, Kacey Ronaldson-Bouchard, Ge-Ah Kim, Jihoon Ko and Shuichi Takayama and has published in prestigious journals such as Scientific Reports, Chemistry - A European Journal and International Journal of Pharmaceutics.

In The Last Decade

Pim de Haan

26 papers receiving 946 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Pim de Haan	545	218	95	82	79	29	974
Brian C. Evans	320 0.6×	481 2.2×	65 0.7×	38 0.5×	68 0.9×	19	985
Laura Conti Devirgiliis	223 0.4×	331 1.5×	89 0.9×	76 0.9×	27 0.3×	50	1.1k
Xuhong Li	192 0.4×	216 1.0×	49 0.5×	188 2.3×	34 0.4×	52	998
Sravan Kumar Patel	167 0.3×	162 0.7×	64 0.7×	146 1.8×	71 0.9×	32	912
Nilesh Gupta	274 0.5×	263 1.2×	81 0.9×	209 2.5×	28 0.4×	41	1.1k
Nina Hobi	426 0.8×	187 0.9×	90 0.9×	14 0.2×	66 0.8×	32	945
Francesca Romana Bertani	487 0.9×	258 1.2×	153 1.6×	16 0.2×	45 0.6×	31	1.0k
Damian Marshall	446 0.8×	542 2.5×	129 1.4×	20 0.2×	31 0.4×	34	1.2k
Jeny Shklover	361 0.7×	441 2.0×	50 0.5×	46 0.6×	66 0.8×	31	1.1k
Kerong Chen	412 0.8×	283 1.3×	54 0.6×	39 0.5×	19 0.2×	44	921

Countries citing papers authored by Pim de Haan

Since Specialization

Citations

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

Fields of papers citing papers by Pim de Haan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pim de Haan. 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 Pim de Haan. The network helps show where Pim de Haan may publish in the future.

Co-authorship network of co-authors of Pim de Haan

This figure shows the co-authorship network connecting the top 25 collaborators of Pim de Haan. A scholar is included among the top collaborators of Pim de Haan 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 Pim de Haan. Pim de Haan 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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