Katia Beider
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 2%
- Chemokine receptors and signaling
- CAR-T cell therapy research
Papers in
- Oncology 34
- Chemokine receptors and signaling 22
- CAR-T cell therapy research 7
- Immunology 29
- Immunotherapy and Immune Responses 18
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 6
- Co-authors
- Amnon Peled (36 shared papers)Eithan Galun (22 shared papers)Arnon Nagler (48 shared papers)Hanna Wald (25 shared papers)Michal Abraham (25 shared papers)Ori Wald (16 shared papers)Ido D. Weiss (15 shared papers)Evelyne Zeira (5 shared papers)
- Journals
- Blood (16 papers)Clinical Cancer Research (4 papers)Cells (4 papers)Leukemia (3 papers)PLoS ONE (3 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Katia Beider
60 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 92
- Immunology 1.1k
- Oncology 1.2k
- Hematology 473
- Immunology and Allergy 79
- Hepatology 94
Countries citing papers authored by Katia Beider
This map shows the geographic impact of Katia Beider'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 Katia Beider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Beider more than expected).
Fields of papers citing papers by Katia Beider
This network shows the impact of papers produced by Katia Beider. 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 Katia Beider. The network helps show where Katia Beider may publish in the future.
Co-authors
The 25 scholars most cited alongside Katia Beider, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 354 | |
| 2 | 2014 | 134 | |
| 3 | 2004 | 97 | |
| 4 | 2003 | 93 | |
| 5 | 2017 | 86 | |
| 6 | 2014 | 85 | |
| 7 | 2010 | 80 | |
| 8 | 2006 | 77 | |
| 9 | 2010 | 72 | |
| 10 | 2013 | 70 | |
| 11 | 2018 | 69 | |
| 12 | 2011 | 68 | |
| 13 | 2009 | 64 | |
| 14 | 2013 | 59 | |
| 15 | 2012 | 56 | |
| 16 | 2014 | 51 | |
| 17 | 2017 | 48 | |
| 18 | 2013 | 48 | |
| 19 | 2017 | 41 | |
| 20 | 2020 | 38 |
About Katia Beider
Katia Beider is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Cell Biology, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (22 papers), Immunotherapy and Immune Responses (18 papers), Multiple Myeloma Research and Treatments (17 papers), Immune Cell Function and Interaction (12 papers), CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.2k citations), Hematology (473 citations), Immunology and Allergy (79 citations) and Hepatology (94 citations). Katia Beider has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Amnon Peled, Eithan Galun, Arnon Nagler, Hanna Wald, Michal Abraham, Ori Wald, Ido D. Weiss, Evelyne Zeira, Eli Pikarsky and Merav Darash‐Yahana. Their work appears in journals such as Blood, Clinical Cancer Research, Cells, Leukemia and PLoS ONE.
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.