M. H. van Oers

2.2k citations
29 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Chronic Lymphocytic Leukemia Research (10 papers)Lymphoma Diagnosis and Treatment (6 papers)Immunodeficiency and Autoimmune Disorders (5 papers)

In The Last Decade

M. H. van Oers

28 papers receiving 1.4k citations

Hit Papers

Marked elevation of plasma chitotriosidase activity. A no...19942026200420151994200400600

Peers

M. H. van Oers
Comparison fields: 5 of 97
  • Molecular Biology 704
  • Physiology 482
  • Immunology 437
  • Epidemiology 300
  • Oncology 247
Replace Bruno Iannascoli with:
Bruno Iannascoli France
Tan Jinquan China
Jörn Elsner Germany
R. B. Nussenblatt United States
Sachiko Suematsu Japan
Nancy M. Lepak United States
Michael J. Pinkoski United States
M F Luciani France
Junichi Yata Japan
Joel Martin United States
M. H. van Oers relative to Bruno Iannascoli France Bruno Iannascoli's profile →
Citations per field
00.5×1.5×2.3×
Bruno Iannascoli · 1×
Citations per year

Countries citing papers authored by M. H. van Oers

Since Specialization
Citations

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

Fields of papers citing papers by M. H. van Oers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. H. van Oers. 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 M. H. van Oers. The network helps show where M. H. van Oers may publish in the future.

Co-authorship network of co-authors of M. H. van Oers

This figure shows the co-authorship network connecting the top 25 collaborators of M. H. van Oers. A scholar is included among the top collaborators of M. H. van Oers 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 M. H. van Oers. M. H. van Oers 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 7
2 16
3 13
4 3
5 12
6 15
7 30
8 4
9 44
10 19
11 43
12
[Diagnostics for classification of anemia].
0
13 67
14
Behandeling van de ziekte van Gaucher in Nederland met enzymvervangingstherapie
1
15 73
16 44
17 30
18
Marked elevation of plasma chitotriosidase activity. A novel hallmark of Gaucher disease.breakdown →
740
19
[HIV-related non-Hodgkin lymphoma in 45 patients; a retrospective analysis].
1
20 8

About M. H. van Oers

M. H. van Oers is a scholar working on Genetics, Virology and Immunology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Immunology (437 citations), Physiology (482 citations) and Transplantation (35 citations). M. H. van Oers has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include Carla E. M. Hollak, Johannes M. F. G. Aerts, Sonja van Weely, Alexandra Heyden, LA Aarden, Frank Miedema, Marie José Kersten, René A. W. van Lier, Kiki Tesselaar and Susanne M.A. Lens. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

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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