Sverker Hasselblom

29 total papers · 670 total citations
25 papers, 495 citations indexed

About

Sverker Hasselblom is a scholar working on Pathology and Forensic Medicine, Oncology and Neurology. According to data from OpenAlex, Sverker Hasselblom has authored 25 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 6 papers in Neurology. Recurrent topics in Sverker Hasselblom's work include Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (8 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Sverker Hasselblom is often cited by papers focused on Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (8 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Sverker Hasselblom collaborates with scholars based in Sweden. Sverker Hasselblom's co-authors include Per‐Ola Andersson, Herman Nilsson‐Ehle, Börje Ridell, Ulrika Hansson, Margrét Sigurðardóttir, Anders Bergström, Tor Ekman, Hans Wedel, Klas Norrby and Annika Linde and has published in prestigious journals such as Blood, British Journal of Haematology and Journal of Internal Medicine.

In The Last Decade

Sverker Hasselblom

24 papers receiving 483 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sverker Hasselblom 321 209 145 115 103 25 495
Jiaqin Yan 337 1.0× 310 1.5× 197 1.4× 59 0.5× 118 1.1× 39 533
Huiqiang Huang 294 0.9× 266 1.3× 90 0.6× 147 1.3× 100 1.0× 20 453
Manuel F. Rosado 333 1.0× 248 1.2× 86 0.6× 97 0.8× 58 0.6× 14 491
Chengfeng Bi 324 1.0× 256 1.2× 95 0.7× 87 0.8× 159 1.5× 29 530
Iván Dlouhy 430 1.3× 307 1.5× 146 1.0× 130 1.1× 99 1.0× 26 549
G. Brittinger 311 1.0× 236 1.1× 161 1.1× 165 1.4× 69 0.7× 26 540
Darius Juškevičius 422 1.3× 272 1.3× 96 0.7× 168 1.5× 72 0.7× 32 552
Nadia Khan 201 0.6× 151 0.7× 100 0.7× 113 1.0× 83 0.8× 37 430
Peter Kamper 345 1.1× 265 1.3× 190 1.3× 49 0.4× 65 0.6× 41 529
Matthew J. Ahearne 257 0.8× 264 1.3× 193 1.3× 117 1.0× 85 0.8× 25 498

Countries citing papers authored by Sverker Hasselblom

Since Specialization
Citations

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

Fields of papers citing papers by Sverker Hasselblom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sverker Hasselblom

This figure shows the co-authorship network connecting the top 25 collaborators of Sverker Hasselblom. A scholar is included among the top collaborators of Sverker Hasselblom 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 Sverker Hasselblom. Sverker Hasselblom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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