Philip Lijnzaad

5.5k total citations · 1 hit paper
38 papers, 2.7k citations indexed

About

Philip Lijnzaad is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Philip Lijnzaad has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 7 papers in Materials Chemistry and 6 papers in Cell Biology. Recurrent topics in Philip Lijnzaad's work include Genomics and Chromatin Dynamics (9 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Philip Lijnzaad is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Philip Lijnzaad collaborates with scholars based in Netherlands, Germany and United Kingdom. Philip Lijnzaad's co-authors include Patrick Argos, Frank Eisenhaber, Michael E. Scharf, Chris Sander, Frank C. P. Holstege, Patrick Kemmeren, Dik van Leenen, Thanasis Margaritis, Herman J. C. Berendsen and Marian J.A. Groot Koerkamp and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Philip Lijnzaad

36 papers receiving 2.7k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The double cubic lattice method: Efficient approaches to numerical integration of surface area and volume and to dot surface contouring of molecular assemblies

1995 833 citations Philip Lijnzaad, Patrick Argos et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Philip Lijnzaad Netherlands	21	2.1k	360	207	194	150	38	2.7k
David Filpula United States	18	1.7k 0.8×	348 1.0×	328 1.6×	173 0.9×	143 1.0×	26	2.5k
Collin M. Stultz United States	28	1.4k 0.7×	494 1.4×	141 0.7×	180 0.9×	102 0.7×	79	2.7k
Ran Friedman Sweden	28	1.4k 0.7×	241 0.7×	204 1.0×	97 0.5×	142 0.9×	107	2.2k
Allan Chris M. Ferreon United States	24	1.7k 0.8×	419 1.2×	160 0.8×	82 0.4×	91 0.6×	47	3.3k
Jiří Novotný Czechia	29	2.3k 1.1×	410 1.1×	269 1.3×	105 0.5×	99 0.7×	91	3.2k
Timothy S. Harvey United States	25	2.2k 1.1×	246 0.7×	411 2.0×	172 0.9×	107 0.7×	39	3.2k
Yunyu Shi China	36	3.3k 1.6×	401 1.1×	263 1.3×	178 0.9×	126 0.8×	191	4.0k
Mark E. Girvin United States	29	2.5k 1.2×	235 0.7×	115 0.6×	103 0.5×	130 0.9×	60	2.9k
Franca Fraternali United Kingdom	38	2.8k 1.3×	515 1.4×	346 1.7×	163 0.8×	285 1.9×	155	4.2k

Countries citing papers authored by Philip Lijnzaad

Since Specialization

Citations

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

Fields of papers citing papers by Philip Lijnzaad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Lijnzaad

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

All Works

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20 of 20 papers shown

Lin, Lin, Johan H. van Es, Jay P. Slack, et al.. (2025). Organoid Modeling of Mouse Anterior Tongue Epithelium Reveals Regional and Cellular Identities. Advanced Science. 12(46). e06738–e06738.

Morales-Rodriguez, Francisco, Nhung Pham, Philip Lijnzaad, et al.. (2025). An engineered tumor organoid model reveals cellular identity and signaling trajectories underlying SFPQ-TFE3 driven translocation RCC. iScience. 28(4). 112122–112122.

Koopmans, Tim, et al.. (2023). An ERK-dependent molecular switch antagonizes fibrosis and promotes regeneration in spiny mice ( Acomys ). Science Advances. 9(17). eadf2331–eadf2331. 24 indexed citations

Harlaar, Laurike, C. A. M. dos Santos, Marianne Hoogeveen‐Westerveld, et al.. (2022). Lysosomal glycogen accumulation in Pompe disease results in disturbed cytoplasmic glycogen metabolism. Journal of Inherited Metabolic Disease. 46(1). 101–115. 16 indexed citations

Brok, Mariël, et al.. (2020). Genome‐wide off‐rates reveal how DNA binding dynamics shape transcription factor function. Molecular Systems Biology. 16(10). e9885–e9885. 12 indexed citations

Kanter, Jurrian K. de, Philip Lijnzaad, Tito Candelli, Thanasis Margaritis, & Frank C. P. Holstege. (2019). CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing. Nucleic Acids Research. 47(16). e95–e95. 163 indexed citations

Jacobsen, Annika, Olga Ivanova, Philip Lijnzaad, et al.. (2019). The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern. PLoS Computational Biology. 15(5). e1007061–e1007061. 4 indexed citations

O’Duibhir, Eoghan, Philip Lijnzaad, Dik van Leenen, et al.. (2016). Molecular mechanisms that distinguish TFIID housekeeping from regulatable SAGA promoters. The EMBO Journal. 36(3). 274–290. 29 indexed citations

Pijnappel, W.W.M. Pim, Daniel Esch, Marijke Baltissen, et al.. (2013). A central role for TFIID in the pluripotent transcription circuitry. Nature. 495(7442). 516–519. 64 indexed citations

10.

Pasch, Loes A. L. van de, Wilco Nijenhuis, Nathalie Brabers, et al.. (2013). Centromere Binding and a Conserved Role in Chromosome Stability for SUMO-Dependent Ubiquitin Ligases. PLoS ONE. 8(6). e65628–e65628. 26 indexed citations

11.

Lenstra, Tineke L., Joris J. Benschop, Tae Soo Kim, et al.. (2011). The Specificity and Topology of Chromatin Interaction Pathways in Yeast. Molecular Cell. 42(4). 536–549. 181 indexed citations

12.

Lenstra, Tineke L., Basma Yacoubi, Xipeng Liu, et al.. (2011). Gcn4 misregulation reveals a direct role for the evolutionary conserved EKC/KEOPS in the t6A modification of tRNAs. Nucleic Acids Research. 39(14). 6148–6160. 69 indexed citations

13.

Margaritis, Thanasis, Philip Lijnzaad, Dik van Leenen, et al.. (2009). Adaptable gene‐specific dye bias correction for two‐channel DNA microarrays. Molecular Systems Biology. 5(1). 266–266. 35 indexed citations

14.

Lijnzaad, Philip, K. Anton Feenstra, Jaap Heringa, & Frank C. P. Holstege. (2008). On defining the dynamics of hydrophobic patches on protein surfaces. Proteins Structure Function and Bioinformatics. 72(1). 105–114. 5 indexed citations

15.

Raje, Dhananjay V., et al.. (2006). Statistical analysis of counts and spacing of consistent repeating patterns in a set of homologous DNA sequences. Current Science. 91(6). 789–795. 1 indexed citations

16.

Roepman, Paul, Lodewyk F.A. Wessels, Nienke Kettelarij, et al.. (2005). An expression profile for diagnosis of lymph node metastases from primary head and neck squamous cell carcinomas. Nature Genetics. 37(2). 182–186. 361 indexed citations

17.

Barillot, Emmanuel, et al.. (1999). A proposal for a standard CORBA interface for genome maps.. Bioinformatics. 15(2). 157–169. 11 indexed citations

18.

Lijnzaad, Philip. (1998). The Radiation Hybrid Database. Nucleic Acids Research. 26(1). 102–105. 12 indexed citations

19.

Rodriguez‐Tomé, Patricia & Philip Lijnzaad. (1997). The Radiation Hybrid Database. Nucleic Acids Research. 25(1). 81–84. 8 indexed citations

20.

Lijnzaad, Philip, Herman J. C. Berendsen, & Patrick Argos. (1996). A method for detecting hydrophobic patches on protein surfaces. Proteins Structure Function and Bioinformatics. 26(2). 192–203. 43 indexed citations

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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