Diënne G. Elferink
- Immunology top 5%
- Infectious Diseases top 5%
- Epidemiology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Tom H. M. OttenhoffRené R. P. de VriesInez-Anne HaagenFrédéric AltarePeter J.C. van Breda VriesmanTjitske de BoerJaap T. van DisselPeter Kabel
- Topics
- T-cell and B-cell Immunology (15 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Immune Cell Function and Interaction (8 papers)
- Partner nations
- NetherlandsCzechiaCuracao
In The Last Decade
Diënne G. Elferink
25 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Immunology 888
- Infectious Diseases 492
- Epidemiology 486
- Molecular Biology 197
- Radiology, Nuclear Medicine and Imaging 135
Countries citing papers authored by Diënne G. Elferink
This map shows the geographic impact of Diënne G. Elferink'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 Diënne G. Elferink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diënne G. Elferink more than expected).
Fields of papers citing papers by Diënne G. Elferink
This network shows the impact of papers produced by Diënne G. Elferink. 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 Diënne G. Elferink. The network helps show where Diënne G. Elferink may publish in the future.
Co-authorship network of co-authors of Diënne G. Elferink
This figure shows the co-authorship network connecting the top 25 collaborators of Diënne G. Elferink. A scholar is included among the top collaborators of Diënne G. Elferink 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 Diënne G. Elferink. Diënne G. Elferink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | Severe Mycobacterial and Salmonella Infections in Interleukin-12 Receptor-Deficient Patientsbreakdown → | 640 |
| 5 | 16 | |
| 6 | 25 | |
| 7 | 84 | |
| 8 | 3 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 12 | |
| 13 | Deficiency of immunity to Mycobacterium avium that can be restored by allogeneic lymphocytes. | 5 |
| 14 | 43 | |
| 15 | 101 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 65 | |
| 19 | 5 | |
| 20 | 7 |
About Diënne G. Elferink
Diënne G. Elferink is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Immunology (888 citations), Infectious Diseases (492 citations) and Epidemiology (486 citations). Diënne G. Elferink has collaborated with scholars based in Netherlands, Czechia and Curacao. Frequent co-authors include Tom H. M. Ottenhoff, René R. P. de Vries, Inez-Anne Haagen, Frédéric Altare, Peter J.C. van Breda Vriesman, Tjitske de Boer, Jaap T. van Dissel, Peter Kabel, Frank P. Kroon and Jean‐Laurent Casanova. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.