Peter Jan Hooikaas

662 total citations
8 papers, 332 citations indexed

About

Peter Jan Hooikaas is a scholar working on Cell Biology, Molecular Biology and Spectroscopy. According to data from OpenAlex, Peter Jan Hooikaas has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 3 papers in Molecular Biology and 2 papers in Spectroscopy. Recurrent topics in Peter Jan Hooikaas's work include Microtubule and mitosis dynamics (6 papers), Advanced NMR Techniques and Applications (2 papers) and Cellular transport and secretion (2 papers). Peter Jan Hooikaas is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Advanced NMR Techniques and Applications (2 papers) and Cellular transport and secretion (2 papers). Peter Jan Hooikaas collaborates with scholars based in Netherlands, France and China. Peter Jan Hooikaas's co-authors include Anna Akhmanova, Maud Martin, Ilya Grigoriev, Lukas C. Kapitein, Eugene A. Katrukha, Wilhelmina E. van Riel, Riccardo Stucchi, Casper C. Hoogenraad, Enzo Z. Poirier and Bryan C. Mounce and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Current Biology.

In The Last Decade

Peter Jan Hooikaas

8 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Jan Hooikaas Netherlands	7	195	182	41	36	28	8	332
Daniel J. Goetschius United States	8	144 0.7×	149 0.8×	33 0.8×	30 0.8×	48 1.7×	14	301
Bernhard Hampoelz Austria	11	181 0.9×	543 3.0×	27 0.7×	40 1.1×	21 0.8×	14	681
Jeffrey O. Spector United States	5	316 1.6×	326 1.8×	29 0.7×	26 0.7×	19 0.7×	8	478
Murielle Saade Spain	10	105 0.5×	219 1.2×	81 2.0×	68 1.9×	10 0.4×	16	376
Luke S. Ferro United States	8	169 0.9×	265 1.5×	9 0.2×	28 0.8×	48 1.7×	10	365
Edgar Morales‐Ríos Mexico	11	150 0.8×	548 3.0×	20 0.5×	48 1.3×	37 1.3×	18	645
Christian Straub Germany	5	149 0.8×	163 0.9×	15 0.4×	39 1.1×	13 0.5×	6	278
Silvia Monzani Italy	9	424 2.2×	525 2.9×	115 2.8×	27 0.8×	46 1.6×	9	661
Benjamin L. Timney United States	7	90 0.5×	556 3.1×	41 1.0×	35 1.0×	16 0.6×	8	626
Marnix Wieffer Germany	7	261 1.3×	303 1.7×	27 0.7×	23 0.6×	28 1.0×	9	573

Countries citing papers authored by Peter Jan Hooikaas

Since Specialization

Citations

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

Fields of papers citing papers by Peter Jan Hooikaas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Jan Hooikaas. 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 Peter Jan Hooikaas. The network helps show where Peter Jan Hooikaas may publish in the future.

Co-authorship network of co-authors of Peter Jan Hooikaas

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

All Works

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8 of 8 papers shown

Xiang, ShengQi, Alessandra Lucini Paioni, Peter Jan Hooikaas, et al.. (2021). Solid-State NMR Spectroscopy for Studying Microtubules and Microtubule-Associated Proteins. Methods in molecular biology. 2305. 193–201. 2 indexed citations

Hooikaas, Peter Jan, Wilhelmina E. van Riel, Maud Martin, et al.. (2020). Kinesin-4 KIF21B limits microtubule growth to allow rapid centrosome polarization in T cells. eLife. 9. 31 indexed citations

Hooikaas, Peter Jan, Amol Aher, Martijn J.M. Vromans, et al.. (2020). MKLP2 Is a Motile Kinesin that Transports the Chromosomal Passenger Complex during Anaphase. Current Biology. 30(13). 2628–2637.e9. 38 indexed citations

Xiang, ShengQi, Peter Jan Hooikaas, A. S. Jijumon, et al.. (2020). Direct observation of dynamic protein interactions involving human microtubules using solid-state NMR spectroscopy. Nature Communications. 11(1). 18–18. 24 indexed citations

Serra-Marques, Andrea, Maud Martin, Eugene A. Katrukha, et al.. (2020). Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends. eLife. 9. 51 indexed citations

Hooikaas, Peter Jan, Maud Martin, Tobias Mühlethaler, et al.. (2019). MAP7 family proteins regulate kinesin-1 recruitment and activation. The Journal of Cell Biology. 218(4). 1298–1318. 101 indexed citations

Pan, Xingxiu, Yujie Cao, Riccardo Stucchi, et al.. (2019). MAP7D2 Localizes to the Proximal Axon and Locally Promotes Kinesin-1-Mediated Cargo Transport into the Axon. Cell Reports. 26(8). 1988–1999.e6. 32 indexed citations

Poirier, Enzo Z., Bryan C. Mounce, Kathryn Rozen-Gagnon, et al.. (2015). Low-Fidelity Polymerases of Alphaviruses Recombine at Higher Rates To Overproduce Defective Interfering Particles. Journal of Virology. 90(5). 2446–2454. 53 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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