Hans‐Gustaf Ljunggren
- Immunology top 0.02%
- Immune Cell Function and Interaction 202
- T-cell and B-cell Immunology 133
- Immunotherapy and Immune Responses 68
- IL-33, ST2, and ILC Pathways 20
- Reproductive System and Pregnancy 20
- Hematology top 0.5%
- Oncology top 0.2%
- CAR-T cell therapy research 39
- Virology top 1%
- Hepatology top 1%
-
- Viral Infections and Vectors 23
-
- Cytomegalovirus and herpesvirus research 18
- Co-authors
- Klas KärreYenan T. BrycesonKarl‐Johan MalmbergNiklas K. BjörkströmEric O. LongJakob MichaëlssonCyril FauriatBenedict J. Chambers
- Cited by
- ImmunologyHematologyOncology
- Journals
- The Journal of Immunology (49 papers)European Journal of Immunology (27 papers)Blood (15 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Hans‐Gustaf Ljunggren
293 papers receiving 23.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 19.3k
- Hematology 2.0k
- Oncology 5.0k
- Virology 642
- Hepatology 720
Countries citing papers authored by Hans‐Gustaf Ljunggren
This map shows the geographic impact of Hans‐Gustaf Ljunggren'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‐Gustaf Ljunggren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Gustaf Ljunggren more than expected).
Fields of papers citing papers by Hans‐Gustaf Ljunggren
This network shows the impact of papers produced by Hans‐Gustaf Ljunggren. 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‐Gustaf Ljunggren. The network helps show where Hans‐Gustaf Ljunggren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans‐Gustaf Ljunggren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 7 | |
| 5 | Natural killer cells in antiviral immunitybreakdown → | 2021 | 296 |
| 6 | 2021 | 49 | |
| 7 | 2019 | 64 | |
| 8 | 2018 | 141 | |
| 9 | 2018 | 64 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 26 | |
| 12 | 2017 | 55 | |
| 13 | 2015 | 199 | |
| 14 | 2013 | 396 | |
| 15 | Regulation of human NK-cell cytokine and chemokine production by target cell recognitionbreakdown → | 2009 | 657 |
| 16 | 2009 | 222 | |
| 17 | 2007 | 189 | |
| 18 | 2004 | 247 | |
| 19 | 2001 | 147 | |
| 20 | 2001 | 72 |
About Hans‐Gustaf Ljunggren
Hans‐Gustaf Ljunggren is a scholar working on Immunology, Infectious Diseases and Oncology, having authored 297 papers that have together received 23.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (202 papers), T-cell and B-cell Immunology (133 papers), Immunotherapy and Immune Responses (68 papers), CAR-T cell therapy research (39 papers), Viral Infections and Vectors (23 papers), IL-33, ST2, and ILC Pathways (20 papers), Reproductive System and Pregnancy (20 papers) and Cytomegalovirus and herpesvirus research (18 papers). The work is most often cited by research in Immunology (19.3k citations), Hematology (2.0k citations) and Oncology (5.0k citations). Hans‐Gustaf Ljunggren has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Klas Kärre, Yenan T. Bryceson, Karl‐Johan Malmberg, Niklas K. Björkström, Eric O. Long, Jakob Michaëlsson, Cyril Fauriat, Benedict J. Chambers, Robert P. A. Wallin and Fu‐Dong Shi. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Blood, The Journal of Experimental Medicine and International Journal of Cancer.
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.