Hans Hägglund

87 total papers · 3.1k total citations
57 papers, 1.9k citations indexed

About

Hans Hägglund is a scholar working on Hematology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hans Hägglund has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 17 papers in Oncology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hans Hägglund's work include Hematopoietic Stem Cell Transplantation (33 papers), Acute Lymphoblastic Leukemia research (11 papers) and Acute Myeloid Leukemia Research (9 papers). Hans Hägglund is often cited by papers focused on Hematopoietic Stem Cell Transplantation (33 papers), Acute Lymphoblastic Leukemia research (11 papers) and Acute Myeloid Leukemia Research (9 papers). Hans Hägglund collaborates with scholars based in Sweden, United States and Finland. Hans Hägglund's co-authors include Per Ljungman, Olle Ringdén, Mats Remberger, Maciej Machaczka, Monika Klimkowska, Jonas Mattsson, Katarina Le Blanc, B Lönnqvist, Holger Karbach and Sven Klaesson and has published in prestigious journals such as Blood, Cancer and Clinical Infectious Diseases.

In The Last Decade

Hans Hägglund

56 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Hans Hägglund 1.1k 481 406 381 272 57 1.9k
William E. Beschorner 1.2k 1.1× 663 1.4× 609 1.5× 303 0.8× 242 0.9× 44 2.6k
Andrew Daly 944 0.9× 413 0.9× 361 0.9× 381 1.0× 347 1.3× 76 1.7k
Claire Galambrun 1.3k 1.2× 494 1.0× 392 1.0× 484 1.3× 253 0.9× 79 2.5k
Iskra Pusic 1.7k 1.6× 652 1.4× 444 1.1× 441 1.2× 207 0.8× 76 2.5k
Margit Mitterbauer 1.1k 1.0× 462 1.0× 298 0.7× 224 0.6× 221 0.8× 67 1.7k
Michael Schleuning 1.3k 1.2× 470 1.0× 353 0.9× 259 0.7× 209 0.8× 58 1.8k
A.H. Filipovich 1.2k 1.2× 921 1.9× 520 1.3× 283 0.7× 297 1.1× 47 2.0k
Gwynn D. Long 1.2k 1.1× 541 1.1× 758 1.9× 403 1.1× 212 0.8× 83 2.0k
Franco Locatelli 1.9k 1.7× 704 1.5× 438 1.1× 826 2.2× 199 0.7× 46 2.5k
Anne Parker 1.0k 1.0× 568 1.2× 1.1k 2.8× 435 1.1× 459 1.7× 54 2.6k

Countries citing papers authored by Hans Hägglund

Since Specialization
Citations

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

Fields of papers citing papers by Hans Hägglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Hägglund

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Hägglund. A scholar is included among the top collaborators of Hans Hägglund 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 Hans Hägglund. Hans Hägglund 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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