Caitlyn Vlasschaert

2.0k citations
46 papers · 699 indexed · 1 hit paper · h-index 13
Topics
Acute Myeloid Leukemia Research (20 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers)Hemoglobinopathies and Related Disorders (8 papers)

In The Last Decade

Caitlyn Vlasschaert

39 papers receiving 689 citations

Hit Papers

Prediction of Risk for Myeloid Malignancy in Clonal Hemat...202320262024202520234080120

Peers

Caitlyn Vlasschaert
Comparison fields: 5 of 94
  • Hematology 329
  • Genetics 240
  • Molecular Biology 232
  • Cancer Research 92
  • Immunology 75
Replace Isabelle Luquet with:
Isabelle Luquet France
Xingxin Li China
Hyeoung Joon Kim South Korea
Jeremy P. Wood United States
Ivan Pašić Canada
Shamim Mollah United States
M Schaafsma Netherlands
Marina Díaz‐Beyá Spain
Bent Pedersen Denmark
K Takeyama Japan
Caitlyn Vlasschaert relative to Isabelle Luquet France Isabelle Luquet's profile →
Citations per field
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Isabelle Luquet · 1×
Citations per year

Countries citing papers authored by Caitlyn Vlasschaert

Since Specialization
Citations

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

Fields of papers citing papers by Caitlyn Vlasschaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlyn Vlasschaert

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 6
4 0
5 3
6 16
7 9
8 19
9 4
10 0
11 74
12 10
13 1
14 1
15 21
16 61
17 4
18 7
19 11
20 6

About Caitlyn Vlasschaert

Caitlyn Vlasschaert is a scholar working on Genetics, Hematology and Health Informatics, having authored 46 papers that have together received 699 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers) and Hemoglobinopathies and Related Disorders (8 papers). The work is most often cited by research in Hematology (329 citations), Genetics (240 citations) and Cancer Research (92 citations). Caitlyn Vlasschaert has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Michael J. Rauh, Douglas A. Gray, Xuhua Xia, Alexander G. Bick, Pradeep Natarajan, Matthew B. Lanktree, Josée Coulombe, Md Mesbah Uddin, Christopher J. Gibson and Benjamin L. Ebert. Their work appears in journals such as Nucleic Acids Research, Circulation and Journal of Clinical Investigation.

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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