Janna Michaeli
Impact in
- Immunology top 2%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- Chemokine receptors and signaling
Papers in
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- Immune cells in cancer 5
- Immune Response and Inflammation 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
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- Antibiotic Resistance in Bacteria 2
- Co-authors
- Liran Levy (5 shared papers)Inbal Mishalian (5 shared papers)Zvi Gregorio Fridlender (4 shared papers)Zvi Granot (4 shared papers)Lida Zolotarov (3 shared papers)Avi‐Hai Hovav (2 shared papers)Ronit Vogt Sionov (2 shared papers)Lola Polyansky (2 shared papers)
- Journals
- OncoImmunology (2 papers)International Journal of Cancer (1 paper)Cancer Immunology Immunotherapy (1 paper)Cell Reports (1 paper)Antibiotics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Janna Michaeli
8 papers receiving 1.6k citations
Janna Michaeli's Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.2k
- Oncology 592
- Immunology and Allergy 49
- Cancer Research 93
- Neurology 45
Countries citing papers authored by Janna Michaeli
This map shows the geographic impact of Janna Michaeli'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 Janna Michaeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janna Michaeli more than expected).
Fields of papers citing papers by Janna Michaeli
This network shows the impact of papers produced by Janna Michaeli. 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 Janna Michaeli. The network helps show where Janna Michaeli may publish in the future.
Co-authors
The 25 scholars most cited alongside Janna Michaeli, 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 | Phenotypic Diversity and Plasticity in Circulating Neutrophil Subpopulations in Cancer Hit paper breakdown → | 2015 | 686 |
| 2 | 2013 | 296 | |
| 3 | 2014 | 226 | |
| 4 | 2018 | 177 | |
| 5 | 2017 | 136 | |
| 6 | 2015 | 52 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 11 |
About Janna Michaeli
Janna Michaeli is a scholar working on Immunology, Molecular Medicine, Microbiology, Applied Microbiology and Biotechnology and Sensory Systems, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Antimicrobial Peptides and Activities (2 papers), Antibiotic Resistance in Bacteria (2 papers), S100 Proteins and Annexins (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Magnesium in Health and Disease (1 paper). The work is most often cited by research in Immunology (1.2k citations), Oncology (592 citations), Immunology and Allergy (49 citations), Cancer Research (93 citations) and Neurology (45 citations). Janna Michaeli has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Liran Levy, Inbal Mishalian, Zvi Gregorio Fridlender, Zvi Granot, Lida Zolotarov, Avi‐Hai Hovav, Ronit Vogt Sionov, Lola Polyansky, Amiram Ariel and Erik Henke. Their work appears in journals such as OncoImmunology, International Journal of Cancer, Cancer Immunology Immunotherapy, Cell Reports and Antibiotics.
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.