A. Karolina Palucka
- Immunology top 0.1%
- Oncology top 1%
- Molecular Biology top 5%
- Rheumatology top 1%
- Epidemiology top 5%
- Co-authors
- Jacques BanchereauVirginia PascualLisa M. CoussensLaurence ZitvogelPatrick BlancoJoseph W. FayMichelle A. GillHideki Ueno
- Topics
- Immunotherapy and Immune Responses (41 papers)T-cell and B-cell Immunology (28 papers)Immune Cell Function and Interaction (14 papers)
- Cited by
- ImmunologyOncologyRheumatology
- Journals
- ScienceCellThe Lancet
- Partner nations
- United StatesFranceIsrael
In The Last Decade
A. Karolina Palucka
45 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 7.5k
- Oncology 2.6k
- Molecular Biology 2.3k
- Rheumatology 953
- Epidemiology 842
Countries citing papers authored by A. Karolina Palucka
This map shows the geographic impact of A. Karolina Palucka'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 A. Karolina Palucka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Karolina Palucka more than expected).
Fields of papers citing papers by A. Karolina Palucka
This network shows the impact of papers produced by A. Karolina Palucka. 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 A. Karolina Palucka. The network helps show where A. Karolina Palucka may publish in the future.
Co-authorship network of co-authors of A. Karolina Palucka
This figure shows the co-authorship network connecting the top 25 collaborators of A. Karolina Palucka. A scholar is included among the top collaborators of A. Karolina Palucka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Karolina Palucka. A. Karolina Palucka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Induction of ICOS + CXCR3 + CXCR5 + T H Cells Correlates with Antibody Responses to Influenza Vaccinationbreakdown → | 443 |
| 3 | Neutralizing Tumor-Promoting Chronic Inflammation: A Magic Bullet?breakdown → | 856 |
| 4 | Molecular signatures of antibody responses derived from a systems biology study of five human vaccinesbreakdown → | 462 |
| 5 | 141 | |
| 6 | 63 | |
| 7 | 56 | |
| 8 | 413 | |
| 9 | 160 | |
| 10 | 90 | |
| 11 | 190 | |
| 12 | Dendritic cells as therapeutic vaccines against cancerbreakdown → | 966 |
| 13 | 9 | |
| 14 | 112 | |
| 15 | 239 | |
| 16 | 52 | |
| 17 | Plasmacytoid Dendritic Cells Induce Plasma Cell Differentiation through Type I Interferon and Interleukin 6breakdown → | 826 |
| 18 | 42 | |
| 19 | 175 | |
| 20 | 324 |
About A. Karolina Palucka
A. Karolina Palucka is a scholar working on Immunology, Oncology and Rheumatology, having authored 46 papers that have together received 9.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (41 papers), T-cell and B-cell Immunology (28 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Immunology (7.5k citations), Oncology (2.6k citations) and Rheumatology (953 citations). A. Karolina Palucka has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Jacques Banchereau, Virginia Pascual, Lisa M. Coussens, Laurence Zitvogel, Patrick Blanco, Joseph W. Fay, Michelle A. Gill, Hideki Ueno, Gaëtan Jégo and Cécile Chalouni. Their work appears in journals such as Science, Cell and The Lancet.
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.