D. Bootsma

21.2k citations
167 papers · 16.9k indexed · 7 hit papers · h-index 62

D. Bootsma

166 papers receiving 16.1k citations

Hit Papers

Mammalian Cry1 and Cry2 are essential for mai...1.1k197520261992200950010001.5k

Peers

D. Bootsma
Comparison fields: 5 of 160
  • Cancer Research 3.5k
  • Aging 332
  • Molecular Biology 12.7k
  • Hematology 1.7k
  • Endocrine and Autonomic Systems 1.0k
Replace George Thomas with:
George Thomas Switzerland
Richard Treisman United Kingdom
Robert N. Eisenman United States
A. Ullrich Germany
Johji Inazawa Japan
Michael F. Seldin United States
Thomas Jenuwein Austria
Michael R. Green United States
Shunsuke Ishii Japan
Andrew J. Bannister United Kingdom
D. Bootsma relative to George Thomas Switzerland George Thomas's profile →
Citations per field
00.5×4.1×
George Thomas · 1×
Citations per year

Countries citing papers authored by D. Bootsma

Since Specialization
Citations

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

Fields of papers citing papers by D. Bootsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Bootsma, 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 D. Bootsma Line = papers co-authored together D. Bootsma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20090
2 1997110
3 1996141
4 1996325
5 199655
6 1994120
7 199252
8 199027
9
The cloned human DNA excision repair gene ERCC-1 fails to correct xeroderma pigmentosum complementation groups A through I.
198964
10 19826
11 197616
12
Human gene mapping 2 : Rotterdam Conference (1974)
19752
13 19753
14 197512
15 197413
16 197414
17 197337
18 1970130
19 197061
20 196843

About D. Bootsma

D. Bootsma is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 167 papers that have together received 16.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (99 papers), Carcinogens and Genotoxicity Assessment (38 papers), CRISPR and Genetic Engineering (35 papers), Biochemical and Molecular Research (13 papers), Genomics and Chromatin Dynamics (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Effects of Radiation Exposure (8 papers). The work is most often cited by research in Cancer Research (3.5k citations), Aging (332 citations) and Molecular Biology (12.7k citations). D. Bootsma has collaborated with scholars based in Netherlands, Japan and United Kingdom. Frequent co-authors include Jan H.J. Hoeijmakers, Jan de Wit, W. Keijzer, E.A. de Weerd-Kastelein, Wim Vermeulen, A. Westerveld, Christine Troelstra, Gerard C. Grosveld, John Groffen and Nora Heisterkamp. Their work appears in journals such as Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Experimental Cell Research, Molecular and Cellular Biology, Cytogenetic and Genome Research and Cell.

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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