Daniela Lakomy
Impact in
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immune cells in cancer
- Hematology top 10%
- Blood groups and transfusion
Papers in
- Immunology 11
- Immunodeficiency and Autoimmune Disorders 5
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Co-authors
- Bernard Bonnotte (14 shared papers)Sylvain Audia (11 shared papers)Emmanuel Katsanis (3 shared papers)Nicolas Larmonier (3 shared papers)Jennifer Fraszczak (3 shared papers)M. Samson (7 shared papers)Éric Solary (3 shared papers)Laurent Lagrost (3 shared papers)
- Journals
- European Journal of Internal Medicine (3 papers)The Journal of Immunology (2 papers)PLoS ONE (1 paper)Blood (1 paper)Circulation Research (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Daniela Lakomy
23 papers receiving 391 citations
Peers
Comparison fields: 5 of 65
- Immunology 194
- Hematology 88
- Genetics 46
- Physiology 80
- Biochemistry 22
Countries citing papers authored by Daniela Lakomy
This map shows the geographic impact of Daniela Lakomy'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 Daniela Lakomy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lakomy more than expected).
Fields of papers citing papers by Daniela Lakomy
This network shows the impact of papers produced by Daniela Lakomy. 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 Daniela Lakomy. The network helps show where Daniela Lakomy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Lakomy, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 80 | |
| 2 | 2010 | 57 | |
| 3 | 2018 | 55 | |
| 4 | 2009 | 45 | |
| 5 | 2010 | 26 | |
| 6 | 2011 | 22 | |
| 7 | 2009 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2014 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2019 | 6 | |
| 12 | 2010 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2011 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2008 | 2 |
About Daniela Lakomy
Daniela Lakomy is a scholar working on Immunology, Molecular Biology, Genetics, Hematology and Pathology and Forensic Medicine, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immunotherapy and Immune Responses (4 papers), Multiple Myeloma Research and Treatments (4 papers), T-cell and B-cell Immunology (3 papers), Blood disorders and treatments (3 papers), Systemic Sclerosis and Related Diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (194 citations), Hematology (88 citations), Genetics (46 citations), Physiology (80 citations) and Biochemistry (22 citations). Daniela Lakomy has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Bernard Bonnotte, Sylvain Audia, Emmanuel Katsanis, Nicolas Larmonier, Jennifer Fraszczak, M. Samson, Éric Solary, Laurent Lagrost, Malika Trad and Philippe Gambert. Their work appears in journals such as European Journal of Internal Medicine, The Journal of Immunology, PLoS ONE, Blood and Circulation Research.
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.