Jonas Ungerbäck

1.5k citations
31 papers · 999 · h-index 18

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 4
    • Genomics and Chromatin Dynamics 4

Jonas Ungerbäck

30 papers receiving 995 citations

Peers

Jonas Ungerbäck
Comparison fields: 5 of 77
  • Immunology 405
  • Hematology 119
  • Cancer Research 114
  • Molecular Biology 510
  • Oncology 183
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Justine E. Roderick United States
S. Fakharzadeh United States
Dorothy J. Park United States
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Maria Askmyr Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Jonas Ungerbäck

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Ungerbäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012123
2 201591
3 201884
4 201883
5 201961
6 201860
7 201156
8 201547
9 202040
10 202240
11 200836
12 201933
13 201532
14 201529
15 201329
16 202128
17 201822
18 201319
19 201916
20 201614

About Jonas Ungerbäck

Jonas Ungerbäck is a scholar working on Immunology, Molecular Biology, Hematology, Public Health, Environmental and Occupational Health and Oncology, having authored 31 papers that have together received 999 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (6 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), Genomics and Chromatin Dynamics (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Immunology (405 citations), Hematology (119 citations), Cancer Research (114 citations), Molecular Biology (510 citations) and Oncology (183 citations). Jonas Ungerbäck has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Mikael Sigvardsson, Ellen V. Rothenberg, Hiroyuki Hosokawa, Rajesh Somasundaram, Peter Söderkvist, Nils Elander, Tobias Strid, Mats Fredrikson, Xun Wang and Keiichi I. Nakayama. Their work appears in journals such as Blood, The Journal of Experimental Medicine, The Journal of Immunology, Immunity and Biochemical and Biophysical Research Communications.

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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