Machteld Oudshoorn

7.3k citations
120 papers · 4.1k indexed · 1 hit paper · h-index 34

Machteld Oudshoorn

119 papers receiving 4.0k citations

Hit Papers

High-resolution donor-recipient HLA matching contributes ...8862007202620132019250500750

Peers

Machteld Oudshoorn
Comparison fields: 5 of 95
  • Transplantation 858
  • Hematology 2.9k
  • Immunology 2.7k
  • Genetics 298
  • Public Health, Environmental and Occupational Health 469
Replace Lee Ann Baxter‐Lowe with:
Lee Ann Baxter‐Lowe United States
Michelle Setterholm United States
Michael Haagenson United States
Eric Mickelson United States
Yoshihisa Kodera Japan
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Citations per field
00.5×1.6×
Lee Ann Baxter‐Lowe · 1×
Citations per year

Countries citing papers authored by Machteld Oudshoorn

Since Specialization
Citations

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

Fields of papers citing papers by Machteld Oudshoorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201914
2 201618
3
AGE DEPENDENT IMMUNOGENETIC PROFILES OF THE ISRAELI POPULATION: IMPACT ON HEMATOPOETIC STEM CELL DONOR SELECTION
20141
4
ENHANCED ALLOREACTIVITY TO BI-DIRECTIONAL NON-PERMISSIVE HLA-DPB1 MISMATCHES SUPPORTS NON-HIERARCHICAL T-CELL EPITOPE GROUP DIVERSITY AS UNDERLYING BIOLOGICAL MECHANISM
20131
5 201336
6
MIXED LYMPHOCYTE CULTURE TYPING REVISITED: THE STRENGTH OF PROLIFERATIVE ALLORESPONSES TO HLA-DP REFLECTS THE PRESENCE OR ABSENCE OF NON-PERMISSIVE T CELL EPITOPE GROUP MISMATCHES
20121
7 201218
8 201220
9 201246
10 20129
11 201020
12 20093
13 200860
14 200717
15 200710
16 200247
17 200114
18 19987
19 199752
20 198911

About Machteld Oudshoorn

Machteld Oudshoorn is a scholar working on Transplantation, Hematology and Immunology, having authored 120 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (79 papers), T-cell and B-cell Immunology (72 papers), Immune Cell Function and Interaction (47 papers), Renal Transplantation Outcomes and Treatments (30 papers), Immunotherapy and Immune Responses (14 papers), Diabetes and associated disorders (9 papers), Transplantation: Methods and Outcomes (8 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Transplantation (858 citations), Hematology (2.9k citations) and Immunology (2.7k citations). Machteld Oudshoorn has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Carolyn Katovich Hurley, Stephen R. Spellman, Effie W. Petersdorf, Michelle Setterholm, Mary M. Horowitz, Michael Haagenson, Claudio Anasetti, Stephanie J. Lee, Marcelo Fernández-Viña and Dennis L. Confer. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

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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