Jesper Jurlander

3.8k citations
44 papers · 2.2k indexed · h-index 27

Impact in

Papers in

Jesper Jurlander

44 papers receiving 2.2k citations

Peers

Jesper Jurlander
Comparison fields: 5 of 94
  • Genetics 822
  • Pathology and Forensic Medicine 988
  • Immunology 765
  • Hematology 277
  • Oncology 520
Replace Barbara Bigerna with:
Barbara Bigerna Italy
Eva Giné Spain
András Matolcsy Hungary
Amanda F. Cashen United States
Roberta Pacini Italy
Alessandra Stacchini Italy
Nilanjan Ghosh United States
Irina Bonzheim Germany
Robert Coupland Canada
Emma C. Scott United States
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Citations per field
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Citations per year

Countries citing papers authored by Jesper Jurlander

Since Specialization
Citations

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

Fields of papers citing papers by Jesper Jurlander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201314
2 20122
3 201173
4 201136
5 201114
6 201028
7 201030
8 201029
9 201025
10
Large but not small copy-number alterations correlate to high-risk genomic aberrations and survival in chronic lymphocytic leukemia: A high-resolution genomic screening in newly diagnosed patients
20091
11 20093
12 200985
13 200890
14 20075
15 200625
16
Radioimmunoterapi ved non-Hodgkins lymfom
20051
17 199830
18 199726
19 199684
20 199449

About Jesper Jurlander

Jesper Jurlander is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Hematology and Orthopedics and Sports Medicine, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (28 papers), Lymphoma Diagnosis and Treatment (21 papers), Immunodeficiency and Autoimmune Disorders (14 papers), Immune Cell Function and Interaction (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Genetics (822 citations), Pathology and Forensic Medicine (988 citations), Immunology (765 citations), Hematology (277 citations) and Oncology (520 citations). Jesper Jurlander has collaborated with scholars based in Denmark, Sweden and United States. Frequent co-authors include Pia Klausen, Anne Mette Buhl, Christian H. Geisler, Susanne Keiding, Mads Hansen, Lena Specht, Anne Kiil Berthelsen, Simon Buus, Annika Loft and Martin Hutchings. Their work appears in journals such as Blood, Haematologica, British Journal of Haematology, Leukemia Research and European Journal Of Haematology.

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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