J. Boonstra

3.6k citations
78 papers · 3.1k · h-index 29

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 9
    • Fungal and yeast genetics research 8
    • HER2/EGFR in Cancer Research 10

J. Boonstra

77 papers receiving 3.0k citations

Peers

J. Boonstra
Comparison fields: 5 of 132
  • Cell Biology 692
  • Immunology and Allergy 187
  • Aging 54
  • Molecular Biology 2.0k
  • Oncology 508
Replace Michael Chinkers with:
Michael Chinkers United States
Yoshimi Homma Japan
Jill Meisenhelder United States
Kurumi Y. Horiuchi United States
Margit Pavelka Austria
Frank W. Hobbs United States
Shawn S.‐C. Li Canada
David K. Han United States
Thomas J. Lukas United States
Takashi Kudo Japan
J. Boonstra relative to Michael Chinkers United States Michael Chinkers's profile →
Citations per field
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Michael Chinkers · 1×
Citations per year

Countries citing papers authored by J. Boonstra

Since Specialization
Citations

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

Fields of papers citing papers by J. Boonstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Boonstra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Boonstra Line = papers co-authored together J. Boonstra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992251
2 1992219
3 1991179
4 1989169
5 1981141
6 1983127
7 1986121
8 1999116
9 1989107
10 200787
11 199183
12 199181
13 200076
14 200174
15 198973
16 198872
17 199751
18 199250
19 197550
20 201049

About J. Boonstra

J. Boonstra is a scholar working on Molecular Biology, Oncology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 78 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), HER2/EGFR in Cancer Research (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Fungal and yeast genetics research (8 papers), Spaceflight effects on biology (7 papers), Cellular Mechanics and Interactions (6 papers), Microtubule and mitosis dynamics (5 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Cell Biology (692 citations), Immunology and Allergy (187 citations), Aging (54 citations), Molecular Biology (2.0k citations) and Oncology (508 citations). J. Boonstra has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Arie J. Verkleij, Paul M.P. van Bergen en Henegouwen, Siegfried W. de Laat, Libert H.K. Defize, Wouter H. Moolenaar, Vincent A. Blomen, M Breton, Bernard Payrastre, Paul T. van der Saag and C. Theo Verrips. Their work appears in journals such as The Journal of Cell Biology, Cellular and Molecular Life Sciences, Journal of Biological Chemistry, Journal of Bacteriology and Experimental Cell Research.

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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