Saskia Langemeijer

3.5k citations
51 papers · 1.9k indexed · 2 hit papers · h-index 16
Topics
Complement system in diseases (24 papers)Acute Myeloid Leukemia Research (14 papers)Blood groups and transfusion (11 papers)

In The Last Decade

Saskia Langemeijer

48 papers receiving 1.9k citations

Hit Papers

Acquired mutations in TET2 are common in myelodysplastic ...200920262014202020092010100200300400500

Peers

Saskia Langemeijer
Comparison fields: 5 of 89
  • Molecular Biology 976
  • Hematology 877
  • Immunology 578
  • Genetics 445
  • Nephrology 280
Replace Beth McGee with:
Beth McGee United States
Elaine M. Majerus United States
Ara Metjian United States
Marcin W. Włodarski United States
María Luz Sánchez Spain
Rens de Groot United Kingdom
D Raum United States
Susan A. Boackle United States
G. Tertian France
Ghislaine Bernard France
Saskia Langemeijer relative to Beth McGee United States Beth McGee's profile →
Citations per field
00.5×3.8×
Beth McGee · 1×
Citations per year

Countries citing papers authored by Saskia Langemeijer

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Langemeijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia Langemeijer

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia Langemeijer. A scholar is included among the top collaborators of Saskia Langemeijer 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 Saskia Langemeijer. Saskia Langemeijer 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 4
2 0
3 1
4 2
5 5
6 5
7 3
8 6
9 34
10 93
11 8
12 2
13 256
14 15
15 35
16
Acquired mutations in TET2 are common in myelodysplastic syndromesbreakdown →
548
17 26
18 47
19 49
20 15

About Saskia Langemeijer

Saskia Langemeijer is a scholar working on Hematology, Physiology and Genetics, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complement system in diseases (24 papers), Acute Myeloid Leukemia Research (14 papers) and Blood groups and transfusion (11 papers). The work is most often cited by research in Hematology (877 citations), Genetics (445 citations) and Nephrology (280 citations). Saskia Langemeijer has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Joop H. Jansen, Théo de Witte, Bert A. van der Reijden, Ruth Knops, Marion Massop, Peter Vandenberghe, Roland P. Kuiper, Gorica Nikoloski, Mariam G. Aslanyan and Patricia van den Hoogen. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Clinical Oncology.

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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