G Boltz-Nitulescu
- Immunology top 10%
- Molecular Biology
- Genetics top 10%
- Immunology and Allergy top 5%
- Physiology
- Co-authors
- Peter ValentWolfgang R. SperrKlaus LechnerAndreas SchedleWolfgang FürederMartin WillheimAdolf EllingerPuchit Samorapoompichit
- Topics
- Transplantation: Methods and Outcomes (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)RNA Interference and Gene Delivery (3 papers)
- Partner nations
- AustriaUnited StatesSlovakia
In The Last Decade
G Boltz-Nitulescu
20 papers receiving 637 citations
Peers
Comparison fields: 5 of 101
- Immunology 284
- Molecular Biology 139
- Genetics 104
- Immunology and Allergy 104
- Physiology 91
Countries citing papers authored by G Boltz-Nitulescu
This map shows the geographic impact of G Boltz-Nitulescu'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 G Boltz-Nitulescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Boltz-Nitulescu more than expected).
Fields of papers citing papers by G Boltz-Nitulescu
This network shows the impact of papers produced by G Boltz-Nitulescu. 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 G Boltz-Nitulescu. The network helps show where G Boltz-Nitulescu may publish in the future.
Co-authorship network of co-authors of G Boltz-Nitulescu
This figure shows the co-authorship network connecting the top 25 collaborators of G Boltz-Nitulescu. A scholar is included among the top collaborators of G Boltz-Nitulescu 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 G Boltz-Nitulescu. G Boltz-Nitulescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 170 | |
| 10 | 73 | |
| 11 | 106 | |
| 12 | 58 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | Increased expression of the IgE Fc receptors on rat macrophages induced by elevated serum IgE levels. | 9 |
| 16 | Characterization of the IgE Fc receptors on monocytes and macrophages. | 28 |
| 17 | 34 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | Antigenic differences between alveolar and peritoneal macrophages of the rat. Lack of population-specific determinants. | 20 |
About G Boltz-Nitulescu
G Boltz-Nitulescu is a scholar working on Transplantation, Immunology and Immunology and Allergy, having authored 20 papers that have together received 669 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology and Allergy (104 citations), Immunology (284 citations) and Genetics (104 citations). G Boltz-Nitulescu has collaborated with scholars based in Austria, United States and Slovakia. Frequent co-authors include Peter Valent, Wolfgang R. Sperr, Klaus Lechner, Andreas Schedle, Wolfgang Füreder, Martin Willheim, Adolf Ellinger, Puchit Samorapoompichit, R Slavicek and Alexander Franz. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and Journal of Dental Research.
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.