Gerard C. P. Schaafsma

1.4k total citations · 1 hit paper
8 papers, 841 citations indexed

About

Gerard C. P. Schaafsma is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Gerard C. P. Schaafsma has authored 8 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Genetics. Recurrent topics in Gerard C. P. Schaafsma's work include Genomics and Rare Diseases (6 papers), Genomics and Phylogenetic Studies (4 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Gerard C. P. Schaafsma is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genomics and Phylogenetic Studies (4 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Gerard C. P. Schaafsma collaborates with scholars based in Sweden, Netherlands and Colombia. Gerard C. P. Schaafsma's co-authors include Peter E.M. Taschner, Johan T. den Dunnen, Jeroen F. J. Laros, Ivo F.A.C. Fokkema, Jacopo Celli, Mauno Vihinen, Smith Rjh, Rula Zain, Qing Wang and Anna Berglöf and has published in prestigious journals such as BMC Bioinformatics, Leukemia and Human Mutation.

In The Last Decade

Gerard C. P. Schaafsma

8 papers receiving 828 citations

Hit 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.

LOVD v.2.0: the next generation in gene variant databases

2011 694 citations Ivo F.A.C. Fokkema, Peter E.M. Taschner et al. Human Mutation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerard C. P. Schaafsma Sweden	6	477	391	144	100	92	8	841
Christopher DeBoever United States	14	596 1.2×	220 0.6×	114 0.8×	66 0.7×	90 1.0×	22	843
Huifei Liu United States	12	807 1.7×	135 0.3×	176 1.2×	58 0.6×	33 0.4×	29	1.2k
Camille Charbonnier France	12	371 0.8×	239 0.6×	190 1.3×	81 0.8×	50 0.5×	23	902
Simon G. Coetzee United States	14	607 1.3×	230 0.6×	175 1.2×	57 0.6×	24 0.3×	22	985
Sean Young Canada	13	261 0.5×	201 0.5×	143 1.0×	155 1.6×	55 0.6×	27	736
Michel Herranz Spain	14	1.0k 2.1×	157 0.4×	322 2.2×	111 1.1×	65 0.7×	16	1.2k
Jerzy Trojan France	17	586 1.2×	224 0.6×	246 1.7×	34 0.3×	101 1.1×	62	1.1k
Lucia Guidugli United States	14	531 1.1×	541 1.4×	147 1.0×	100 1.0×	15 0.2×	27	820
Marie-Claire Wagle United States	8	547 1.1×	143 0.4×	46 0.3×	49 0.5×	52 0.6×	13	790

Countries citing papers authored by Gerard C. P. Schaafsma

Since Specialization

Citations

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

Fields of papers citing papers by Gerard C. P. Schaafsma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard C. P. Schaafsma. 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 Gerard C. P. Schaafsma. The network helps show where Gerard C. P. Schaafsma may publish in the future.

Co-authorship network of co-authors of Gerard C. P. Schaafsma

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard C. P. Schaafsma. A scholar is included among the top collaborators of Gerard C. P. Schaafsma 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 Gerard C. P. Schaafsma. Gerard C. P. Schaafsma 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

1.

Schaafsma, Gerard C. P., Jouni Väliaho, Qing Wang, et al.. (2023). BTKbase, Bruton Tyrosine Kinase Variant Database in X-Linked Agammaglobulinemia: Looking Back and Ahead. Human Mutation. 2023. 1–12. 3 indexed citations

2.

Estupiñán, H. Yesid, Qing Wang, Anna Berglöf, et al.. (2021). BTK gatekeeper residue variation combined with cysteine 481 substitution causes super-resistance to irreversible inhibitors acalabrutinib, ibrutinib and zanubrutinib. Leukemia. 35(5). 1317–1329. 49 indexed citations

3.

Schaafsma, Gerard C. P. & Mauno Vihinen. (2018). Representativeness of variation benchmark datasets. BMC Bioinformatics. 19(1). 461–461. 15 indexed citations

4.

Schaafsma, Gerard C. P. & Mauno Vihinen. (2017). Large differences in proportions of harmful and benign amino acid substitutions between proteins and diseases. Human Mutation. 38(7). 839–848. 20 indexed citations

5.

Vihinen, Mauno, John M. Hancock, Donna Maglott, et al.. (2016). Human Variome Project Quality Assessment Criteria for Variation Databases. Human Mutation. 37(6). 549–558. 16 indexed citations

6.

Schaafsma, Gerard C. P. & Mauno Vihinen. (2016). VariOtator, a Software Tool for Variation Annotation with the Variation Ontology. Human Mutation. 37(4). 344–349. 4 indexed citations

7.

Schaafsma, Gerard C. P. & Mauno Vihinen. (2014). VariSNP, A Benchmark Database for Variations From dbSNP. Human Mutation. 36(2). 161–166. 40 indexed citations

8.

Fokkema, Ivo F.A.C., Peter E.M. Taschner, Gerard C. P. Schaafsma, et al.. (2011). LOVD v.2.0: the next generation in gene variant databases. Human Mutation. 32(5). 557–563. 694 indexed citations breakdown →

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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