Tim Kievits
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- Advanced biosensing and bioanalysis techniques 6
- CRISPR and Genetic Engineering 4
- Ecology 7
- Bacteriophages and microbial interactions 7
- Co-authors
- Bob van Gemen (7 shared papers)Peter Devilee (5 shared papers)Peter Lens (4 shared papers)P. Pearson (5 shared papers)Dianne van Strijp (3 shared papers)Roy Sooknanan (2 shared papers)R Schukkink (2 shared papers)Suzanne Jurriaans (3 shared papers)
- Journals
- Cytogenetic and Genome Research (3 papers)Genomics (2 papers)Cancers (1 paper)AIDS (1 paper)Cytometry (1 paper)
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Tim Kievits
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Virology 394
- Infectious Diseases 419
- Genetics 406
- Molecular Biology 705
- Cancer Research 143
Countries citing papers authored by Tim Kievits
This map shows the geographic impact of Tim Kievits'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 Tim Kievits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kievits more than expected).
Fields of papers citing papers by Tim Kievits
This network shows the impact of papers produced by Tim Kievits. 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 Tim Kievits. The network helps show where Tim Kievits may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kievits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 320 | |
| 2 | Detection of chromosome aneuploidy in interphase nuclei from human primary breast tumors using chromosome-specific repetitive DNA probes. | 1988 | 207 |
| 3 | 1994 | 177 | |
| 4 | 1990 | 137 | |
| 5 | 1988 | 114 | |
| 6 | 1993 | 106 | |
| 7 | 1988 | 99 | |
| 8 | Frequent somatic imbalance of marker alleles for chromosome 1 in human primary breast carcinoma. | 1991 | 91 |
| 9 | 1993 | 62 | |
| 10 | 1990 | 53 | |
| 11 | 1995 | 51 | |
| 12 | 1990 | 51 | |
| 13 | 2001 | 37 | |
| 14 | 1996 | 36 | |
| 15 | 1995 | 33 | |
| 16 | 1989 | 15 | |
| 17 | 1995 | 13 | |
| 18 | Activation of the mas oncogene involves coupling to human alphoid sequences. | 1993 | 11 |
| 19 | 1990 | 6 | |
| 20 | 1995 | 4 |
About Tim Kievits
Tim Kievits is a scholar working on Molecular Biology, Ecology, Virology, Genetics and Infectious Diseases, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), HIV Research and Treatment (6 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related Molecular Pathways (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (394 citations), Infectious Diseases (419 citations), Genetics (406 citations), Molecular Biology (705 citations) and Cancer Research (143 citations). Tim Kievits has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Bob van Gemen, Peter Devilee, Peter Lens, P. Pearson, Dianne van Strijp, Roy Sooknanan, R Schukkink, Suzanne Jurriaans, Rinie van Beuningen and Henriëtte Adriaanse. Their work appears in journals such as Cytogenetic and Genome Research, Genomics, Cancers, AIDS and Cytometry.
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.