Hidde J. Haisma
- Molecular Biology top 1%
- Oncology top 1%
- Genetics top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Immunology top 5%
- Co-authors
- Gert StormAmir K. VarkouhiFrank J. DekkerHerbert M. PinedoEpie BovenWinald R. GerritsenDavid T. CurielVictor W. van Beusechem
- Topics
- Virus-based gene therapy research (51 papers)Monoclonal and Polyclonal Antibodies Research (44 papers)CAR-T cell therapy research (30 papers)
- Cited by
- Molecular BiologyOncologyGenetics
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Hidde J. Haisma
167 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 4.4k
- Oncology 1.7k
- Genetics 1.6k
- Radiology, Nuclear Medicine and Imaging 990
- Immunology 830
Countries citing papers authored by Hidde J. Haisma
This map shows the geographic impact of Hidde J. Haisma'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 Hidde J. Haisma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidde J. Haisma more than expected).
Fields of papers citing papers by Hidde J. Haisma
This network shows the impact of papers produced by Hidde J. Haisma. 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 Hidde J. Haisma. The network helps show where Hidde J. Haisma may publish in the future.
Co-authorship network of co-authors of Hidde J. Haisma
This figure shows the co-authorship network connecting the top 25 collaborators of Hidde J. Haisma. A scholar is included among the top collaborators of Hidde J. Haisma 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 Hidde J. Haisma. Hidde J. Haisma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 281 | |
| 3 | 16 | |
| 4 | 43 | |
| 5 | Endosomal escape pathways for delivery of biologicals | 1 |
| 6 | Poly I prevents adenoviral vector clearance by Kupffer cells and increases efficiency in gene therapy applications | 2 |
| 7 | 109 | |
| 8 | 8 | |
| 9 | A platform for constucting infectivity-enhanced fiber-mosaic adenoviruses genetically modified to express two fiber types | 6 |
| 10 | 28 | |
| 11 | 52 | |
| 12 | 122 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | High yield production of pure 89Zr; A positron emitter for labelling of proteins | 2 |
| 16 | 41 | |
| 17 | 21 | |
| 18 | 21 | |
| 19 | IMMUNE-COMPLEXES OF OC125-CA125 FOLLOWING INTRAVENOUS-INJECTION OF THE RADIOLABELED MONOCLONAL-ANTIBODY INTO OVARIAN-CANCER PATIENTS | 2 |
| 20 | IODINATION OF MONOCLONAL-ANTIBODIES FOR DIAGNOSIS AND RADIOTHERAPY USING A CONVENIENT ONE VIAL METHOD | 4 |
About Hidde J. Haisma
Hidde J. Haisma is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 171 papers that have together received 7.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (51 papers), Monoclonal and Polyclonal Antibodies Research (44 papers) and CAR-T cell therapy research (30 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Oncology (1.7k citations) and Genetics (1.6k citations). Hidde J. Haisma has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gert Storm, Amir K. Varkouhi, Frank J. Dekker, Herbert M. Pinedo, Epie Boven, Winald R. Gerritsen, David T. Curiel, Victor W. van Beusechem, Massimo Ghizzoni and Bin Liu. Their work appears in journals such as Nucleic Acids Research, Blood and The Journal of 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.