Judith Gits
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immunodeficiency and Autoimmune Disorders
- Immune cells in cancer
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Immunology 12
- Immune Response and Inflammation 4
- Immunodeficiency and Autoimmune Disorders 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Immune Cell Function and Interaction 3
- Oncology 9
- Cytokine Signaling Pathways and Interactions 5
- Neutropenia and Cancer Infections 3
- Co-authors
- Ivo P. Touw (14 shared papers)Alister C. Ward (5 shared papers)Lambertus H.J. Aarts (3 shared papers)Onno Roovers (6 shared papers)Gert‐Jan M. van de Geijn (2 shared papers)Stefan J. Erkeland (4 shared papers)Daphne van Leeuwen (2 shared papers)Claudia Heijmans‐Antonissen (1 shared paper)
- Journals
- Leukemia (2 papers)Blood (2 papers)The EMBO Journal (2 papers)Traffic (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- NetherlandsAustraliaUnited States
In The Last Decade
Judith Gits
15 papers receiving 536 citations
Peers
Comparison fields: 5 of 49
- Immunology 247
- Hematology 119
- Oncology 220
- Genetics 183
- Genetics 40
Countries citing papers authored by Judith Gits
This map shows the geographic impact of Judith Gits'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 Judith Gits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Gits more than expected).
Fields of papers citing papers by Judith Gits
This network shows the impact of papers produced by Judith Gits. 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 Judith Gits. The network helps show where Judith Gits may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Gits, 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 | 2003 | 76 | |
| 2 | 2007 | 73 | |
| 3 | 1999 | 69 | |
| 4 | 2004 | 63 | |
| 5 | 2011 | 48 | |
| 6 | 2006 | 33 | |
| 7 | 2000 | 33 | |
| 8 | 2004 | 29 | |
| 9 | 2009 | 29 | |
| 10 | 2009 | 24 | |
| 11 | 2006 | 23 | |
| 12 | 2006 | 23 | |
| 13 | 2008 | 10 | |
| 14 | 2007 | 9 | |
| 15 | 2009 | 1 |
About Judith Gits
Judith Gits is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Hematology, having authored 15 papers that have together received 543 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Blood disorders and treatments (5 papers), Immune Response and Inflammation (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune Cell Function and Interaction (3 papers), Neutropenia and Cancer Infections (3 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Immunology (247 citations), Hematology (119 citations), Oncology (220 citations), Genetics (183 citations) and Genetics (40 citations). Judith Gits has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Ivo P. Touw, Alister C. Ward, Lambertus H.J. Aarts, Onno Roovers, Gert‐Jan M. van de Geijn, Stefan J. Erkeland, Daphne van Leeuwen, Claudia Heijmans‐Antonissen, Mirjam H. A. Hermans and Melvin H. Freedman. Their work appears in journals such as Leukemia, Blood, The EMBO Journal, Traffic and The Journal of Experimental Medicine.
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.