Peter Haima
Impact in
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Biotechnology top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Fungal and yeast genetics research 4
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Microbial metabolism and enzyme function 2
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Marten Veenhuis (5 shared papers)Gerard Venema (4 shared papers)Klaas Nico Faber (4 shared papers)Wim Harder (3 shared papers)Geert AB (2 shared papers)W. Harder (3 shared papers)Vladimir I. Titorenko (3 shared papers)Sierd Bron (5 shared papers)
- Journals
- Gene (2 papers)Current Genetics (2 papers)Yeast (1 paper)The Journal of Cell Biology (1 paper)FEBS Letters (1 paper)
- Partner nations
- NetherlandsRussiaUnited States
In The Last Decade
Peter Haima
14 papers receiving 866 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 777
- Biotechnology 78
- Genetics 233
- Ecology 155
- Cell Biology 71
Countries citing papers authored by Peter Haima
This map shows the geographic impact of Peter Haima'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 Peter Haima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Haima more than expected).
Fields of papers citing papers by Peter Haima
This network shows the impact of papers produced by Peter Haima. 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 Peter Haima. The network helps show where Peter Haima may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Haima, 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 | 1994 | 234 | |
| 2 | 1987 | 183 | |
| 3 | 1994 | 182 | |
| 4 | 1992 | 60 | |
| 5 | 1994 | 49 | |
| 6 | 1991 | 47 | |
| 7 | 1990 | 46 | |
| 8 | 1990 | 30 | |
| 9 | 1995 | 20 | |
| 10 | 1990 | 14 | |
| 11 | 1985 | 12 | |
| 12 | 1992 | 10 | |
| 13 | 1993 | 10 | |
| 14 | 1988 | 3 |
About Peter Haima
Peter Haima is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Biotechnology, having authored 14 papers that have together received 900 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Fungal and yeast genetics research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial metabolism and enzyme function (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Molecular Biology (777 citations), Biotechnology (78 citations), Genetics (233 citations), Ecology (155 citations) and Cell Biology (71 citations). Peter Haima has collaborated with scholars based in Netherlands, Russia and United States. Frequent co-authors include Marten Veenhuis, Gerard Venema, Klaas Nico Faber, Wim Harder, Geert AB, W. Harder, Vladimir I. Titorenko, Sierd Bron, Hans R. Waterham and J M Cregg. Their work appears in journals such as Gene, Current Genetics, Yeast, The Journal of Cell Biology and FEBS Letters.
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.