Elisa ten Hacken
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 31
- Chronic Lymphocytic Leukemia Research 31
- Immunology 19
- Immunodeficiency and Autoimmune Disorders 12
- Phagocytosis and Immune Regulation 3
- Co-authors
- Jan A. Burger (10 shared papers)Paolo Ghia (12 shared papers)Federico Caligaris‐Cappio (11 shared papers)Cristina Scielzo (11 shared papers)Maria Teresa Sabrina Bertilaccio (7 shared papers)Catherine J. Wu (16 shared papers)Benedetta Apollonio (6 shared papers)Lydia Scarfò (6 shared papers)
- Journals
- Blood (16 papers)Leukemia (5 papers)Clinical Cancer Research (2 papers)Genome biology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Elisa ten Hacken
34 papers receiving 951 citations
Peers
Comparison fields: 5 of 64
- Genetics 652
- Pathology and Forensic Medicine 322
- Immunology 385
- Hematology 127
- Oncology 207
Countries citing papers authored by Elisa ten Hacken
This map shows the geographic impact of Elisa ten Hacken'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 Elisa ten Hacken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa ten Hacken more than expected).
Fields of papers citing papers by Elisa ten Hacken
This network shows the impact of papers produced by Elisa ten Hacken. 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 Elisa ten Hacken. The network helps show where Elisa ten Hacken may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa ten Hacken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2016 | 82 | |
| 3 | 2010 | 70 | |
| 4 | 2013 | 67 | |
| 5 | 2013 | 64 | |
| 6 | 2014 | 51 | |
| 7 | 2016 | 49 | |
| 8 | 2013 | 48 | |
| 9 | 2019 | 46 | |
| 10 | 2018 | 44 | |
| 11 | 2011 | 33 | |
| 12 | 2012 | 33 | |
| 13 | 2016 | 31 | |
| 14 | 2020 | 26 | |
| 15 | 2016 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 19 | |
| 19 | 2010 | 14 | |
| 20 | 2021 | 10 |
About Elisa ten Hacken
Elisa ten Hacken is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 36 papers that have together received 958 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Lymphoma Diagnosis and Treatment (12 papers), CAR-T cell therapy research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Genetics (652 citations), Pathology and Forensic Medicine (322 citations), Immunology (385 citations), Hematology (127 citations) and Oncology (207 citations). Elisa ten Hacken has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Jan A. Burger, Paolo Ghia, Federico Caligaris‐Cappio, Cristina Scielzo, Maria Teresa Sabrina Bertilaccio, Catherine J. Wu, Benedetta Apollonio, Lydia Scarfò, Marta Muzio and Maurilio Ponzoni. Their work appears in journals such as Blood, Leukemia, Clinical Cancer Research, Genome biology and JCI Insight.
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.