Jan Jacob Schuringa

7.0k citations
150 papers · 4.1k · h-index 40

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 83
    • Hematopoietic Stem Cell Transplantation 21
    • Chronic Myeloid Leukemia Treatments 12
    • Epigenetics and DNA Methylation 23
    • Protein Degradation and Inhibitors 11

Jan Jacob Schuringa

144 papers receiving 4.1k citations

Peers

Jan Jacob Schuringa
Comparison fields: 5 of 112
  • Hematology 1.7k
  • Genetics 525
  • Immunology 854
  • Cancer Research 511
  • Oncology 791
Replace Gerwin Huls with:
Gerwin Huls Netherlands
Ulrich Steidl United States
Gerald Wulf Germany
A. Kate Sasser United States
Thoas Fioretos Sweden
Jérôme Moreaux France
Paola Ballerini France
Hui Yang United States
Boris K. Lin United States
Johan Richter Sweden
Jan Jacob Schuringa relative to Gerwin Huls Netherlands Gerwin Huls's profile →
Citations per field
00.5×1.5×1.8×
Gerwin Huls · 1×
Citations per year

Countries citing papers authored by Jan Jacob Schuringa

Since Specialization
Citations

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

Fields of papers citing papers by Jan Jacob Schuringa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Jacob Schuringa. 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 Jan Jacob Schuringa. The network helps show where Jan Jacob Schuringa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002409
2 2009111
3 2015110
4 2004109
5 200786
6 201084
7 200779
8 200179
9 200679
10 201774
11 201172
12 200771
13 201070
14 201269
15 201669
16 201066
17 200866
18 201265
19 201562
20 201862

About Jan Jacob Schuringa

Jan Jacob Schuringa is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Genetics, having authored 150 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (83 papers), Epigenetics and DNA Methylation (23 papers), Hematopoietic Stem Cell Transplantation (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers), Chronic Myeloid Leukemia Treatments (12 papers), Immune cells in cancer (11 papers), Protein Degradation and Inhibitors (11 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (525 citations), Immunology (854 citations), Cancer Research (511 citations) and Oncology (791 citations). Jan Jacob Schuringa has collaborated with scholars based in Netherlands, Brazil and United Kingdom. Frequent co-authors include Edo Vellenga, Albertus T.J. Wierenga, W. Kruijer, Giovanni Morrone, Hein Schepers, Malcolm A.S. Moore, Aleksandra Rizo, Jean‐Christophe Renauld, Laure Dumoutier and Diane Lejeune. Their work appears in journals such as Blood, Experimental Hematology, Blood Advances, PLoS ONE and Haematologica.

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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