Christer Sundström

19.4k citations
270 papers · 12.3k indexed · 3 hit papers · h-index 54

Christer Sundström

268 papers receiving 11.9k citations

Hit Papers

Association of chronic inflammat...667197420261991200850010001.5k2.0k

Peers

Christer Sundström
Comparison fields: 5 of 142
  • Genetics 3.1k
  • Pathology and Forensic Medicine 5.0k
  • Immunology 3.8k
  • Oncology 3.8k
  • Hematology 1.2k
Replace Giorgio Cattoretti with:
Giorgio Cattoretti Italy
Marco Chilosi Italy
Amy Chadburn United States
Bernd Dörken Germany
Gianpietro Semenzato Italy
Jonathan Said United States
Stephan Dirnhofer Switzerland
Michael Hummel Germany
Jordan U. Gutterman United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Christer Sundström

Since Specialization
Citations

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

Fields of papers citing papers by Christer Sundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202113
3 20212
4 202119
5 202027
6 202033
7 202012
8 201830
9
[Core needle biopsies for lymphoma diagnosis seriously affect diagnostics, treatment development and research].
20172
10 201662
11 2012386
12 201141
13 201073
14
Dose-dense induction followed by autologous stem cell transplant (ASCT) leads to sustained remissions in a large fraction of patients with previously untreated peripheral t-cell lymphomas (PTCLS) - overall and subtype-specific results of a phase II study from the nordic lymphoma group
200920
15
Vascular density in childhood acute lymphoblastic leukemia correlates to biological factors and outcome
20080
16
V(a)3-21 gene utilizing chronic lymphocytic leukemias display restricted V lambda 2-14 gene usage and homologous CDR3s.
20024
17 20027
18 199512
19 198913
20 198223

About Christer Sundström

Christer Sundström is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 270 papers that have together received 12.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (147 papers), Chronic Lymphocytic Leukemia Research (100 papers), Viral-associated cancers and disorders (48 papers), Immunodeficiency and Autoimmune Disorders (26 papers), Acute Myeloid Leukemia Research (23 papers), Immune Cell Function and Interaction (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and CNS Lymphoma Diagnosis and Treatment (18 papers). The work is most often cited by research in Genetics (3.1k citations), Pathology and Forensic Medicine (5.0k citations) and Immunology (3.8k citations). Christer Sundström has collaborated with scholars based in Sweden, Denmark and Finland. Frequent co-authors include Kenneth Nilsson, Gunilla Enblad, Bengt Glimelius, Richard Rosenquist, Carin Backlin, Hans Hagberg, Göran Roos, Eva Baecklund, Lars Klareskog and Johan Askling. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

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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