Frank Cichocki
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 64
- Immune Cell Function and Interaction 61
- T-cell and B-cell Immunology 24
- Reproductive System and Pregnancy 5
- Immune cells in cancer 5
- Oncology 29
- CAR-T cell therapy research 28
- Co-authors
- Jeffrey S. MillerBruce R. BlazarYenan T. BrycesonMartin FelicesHeinrich SchlumsMichael R. VernerisBin ZhangKarl‐Johan Malmberg
- Journals
- Blood (24 papers)Cancer Research (6 papers)The Journal of Immunology (5 papers)Biology of Blood and Marrow Transplantation (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesSwedenNorway
In The Last Decade
Frank Cichocki
67 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 2.3k
- Oncology 1.0k
- Hematology 330
- Virology 67
- Cancer Research 172
Countries citing papers authored by Frank Cichocki
This map shows the geographic impact of Frank Cichocki'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 Frank Cichocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Cichocki more than expected).
Fields of papers citing papers by Frank Cichocki
This network shows the impact of papers produced by Frank Cichocki. 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 Frank Cichocki. The network helps show where Frank Cichocki may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Cichocki, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 34 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 59 | |
| 12 | 2018 | 93 | |
| 13 | 2018 | 58 | |
| 14 | 2016 | 157 | |
| 15 | 2015 | 48 | |
| 16 | Cytomegalovirus Infection Drives Adaptive Epigenetic Diversification of NK Cells with Altered Signaling and Effector Function Hit paper breakdown → | 2015 | 551 |
| 17 | 2014 | 43 | |
| 18 | 2011 | 26 | |
| 19 | 2010 | 53 | |
| 20 | 2009 | 28 |
About Frank Cichocki
Frank Cichocki is a scholar working on Immunology, Oncology, Hematology, Epidemiology and Biological Psychiatry, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (61 papers), CAR-T cell therapy research (28 papers), T-cell and B-cell Immunology (24 papers), Cytomegalovirus and herpesvirus research (14 papers), CRISPR and Genetic Engineering (5 papers), Reproductive System and Pregnancy (5 papers), Immune cells in cancer (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Immunology (2.3k citations), Oncology (1.0k citations), Hematology (330 citations), Virology (67 citations) and Cancer Research (172 citations). Frank Cichocki has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include Jeffrey S. Miller, Bruce R. Blazar, Yenan T. Bryceson, Martin Felices, Heinrich Schlums, Michael R. Verneris, Bin Zhang, Karl‐Johan Malmberg, Valarie McCullar and Hans‐Gustaf Ljunggren. Their work appears in journals such as Blood, Cancer Research, The Journal of Immunology, Biology of Blood and Marrow Transplantation and Frontiers in Immunology.
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.