Julia Tornack
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
- Biophysics top 5%
Papers in
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- IL-33, ST2, and ILC Pathways 2
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- Zebrafish Biomedical Research Applications 3
- Co-authors
- Fritz Melchers (6 shared papers)Stefan H. E. Kaufmann (2 shared papers)Stephen T. Reece (2 shared papers)Georg Stingl (2 shared papers)Alexis Vogelzang (2 shared papers)Wolfgang Michael Bauer (2 shared papers)Ulrike Zedler (2 shared papers)Silke Bandermann (1 shared paper)
In The Last Decade
Julia Tornack
11 papers receiving 1.7k citations
Julia Tornack's Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 887
- Biophysics 74
- Infectious Diseases 182
- Oncology 218
- Molecular Biology 472
Countries citing papers authored by Julia Tornack
This map shows the geographic impact of Julia Tornack'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 Julia Tornack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Tornack more than expected).
Fields of papers citing papers by Julia Tornack
This network shows the impact of papers produced by Julia Tornack. 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 Julia Tornack. The network helps show where Julia Tornack may publish in the future.
Co-authors
The 17 scholars most cited alongside Julia Tornack, 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 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) Hit paper breakdown → | 2019 | 799 |
| 2 | 2017 | 463 | |
| 3 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) Hit paper breakdown → | 2021 | 345 |
| 4 | 2017 | 56 | |
| 5 | 2018 | 18 | |
| 6 | 2016 | 6 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 5 | |
| 9 | 2012 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2014 | 2 |
About Julia Tornack
Julia Tornack is a scholar working on Immunology, Cell Biology, Hematology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Zebrafish Biomedical Research Applications (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Neonatal Respiratory Health Research (2 papers), CRISPR and Genetic Engineering (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). The work is most often cited by research in Immunology (887 citations), Biophysics (74 citations), Infectious Diseases (182 citations), Oncology (218 citations) and Molecular Biology (472 citations). Julia Tornack has collaborated with scholars based in Germany, Japan and Austria. Frequent co-authors include Fritz Melchers, Stefan H. E. Kaufmann, Stephen T. Reece, Georg Stingl, Alexis Vogelzang, Wolfgang Michael Bauer, Ulrike Zedler, Silke Bandermann, Motokazu Tsuneto and Yohei Kawano. Their work appears in journals such as European Journal of Immunology, Immunology Letters, PLoS ONE and The Journal of Infectious Diseases.
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.