Henk Wind

858 citations
11 papers · 599 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Henk Wind

11 papers receiving 575 citations

Peers

Henk Wind
Comparison fields: 5 of 57
  • Hematology 298
  • Genetics 117
  • Immunology 164
  • Pathology and Forensic Medicine 91
  • Oncology 92
Replace Janet Hayden with:
Janet Hayden United Kingdom
W.-D. Ludwig Germany
John Liu Yin United Kingdom
Françoise Accard France
Anne Stidsholt Roug Denmark
G Castoldi Italy
Kelly S. Chien United States
S Stass United States
Ana Sureda Spain
B. Stollmann-Gibbels Germany
Henk Wind relative to Janet Hayden United Kingdom Janet Hayden's profile →
Citations per field
00.5×2.8×
Janet Hayden · 1×
Citations per year

Countries citing papers authored by Henk Wind

Since Specialization
Citations

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

Fields of papers citing papers by Henk Wind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004243
2 2015156
3 200664
4 201358
5 200336
6 199919
7
Three-color flowcytometric analysis of mature and immature hematological malignancies. A guideline of the Dutch Foundation for Immunophenotyping of Hematological Malignancies (SIHON).
20057
8
Flow cytometric screening for HLA-B27 on peripheral blood lymphocytes.
20035
9 20134
10 20054
11 20083

About Henk Wind

Henk Wind is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Molecular Biology and Dermatology, having authored 11 papers that have together received 599 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (298 citations), Genetics (117 citations), Immunology (164 citations), Pathology and Forensic Medicine (91 citations) and Oncology (92 citations). Henk Wind has collaborated with scholars based in Netherlands, Spain and United Kingdom. Frequent co-authors include Jacques J. M. van Dongen, Vincent H. J. van der Velden, Jeroen G. te Marvelde, Ellen G. van Lochem, N. A. C. Westerdaal, Juan Flores‐Montero, Sebastian Böttcher, Quentin Lécrevisse, Alberto Órfão and Noemí Puig. Their work appears in journals such as Cytometry Part B Clinical Cytometry, British Journal of Haematology, Leukemia, Current Protocols in Cytometry and Blood Cancer Journal.

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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