Peter Haima

1.0k citations
15 papers · 941 · h-index 12

Impact in

    • Peroxisome Proliferator-Activated Receptors
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Bacterial Genetics and Biotechnology 8
    • Bacteriophages and microbial interactions 7

Peter Haima

15 papers receiving 904 citations

Peers

Peter Haima
Comparison fields: 5 of 64
  • Molecular Biology 792
  • Biotechnology 80
  • Genetics 234
  • Ecology 152
  • Biochemistry 33
Replace Ronald G. Schoner with:
Ronald G. Schoner United States
J.Lawrence Marsh United States
Geneviève Gonzy-Tréboul France
Dennis M. Burns Australia
Noushin Mirjalili United States
S A Boylan United States
Jinnie M. Garrett United States
Cornelis P. Hollenberg Germany
Alex Ter Beek Netherlands
G A Rufo United States
Peter Haima relative to Ronald G. Schoner United States Ronald G. Schoner's profile →
Citations per field
00.5×1.5×1.8×
Ronald G. Schoner · 1×
Citations per year

Countries citing papers authored by Peter Haima

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Haima Line = papers co-authored together Peter Haima links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1994246
2 1994188
3 1987185
4 199263
5 199453
6 199147
7 199046
8 199031
9 199521
10 198516
11 199014
12 199212
13 199311
14 19885
15 19883

About Peter Haima

Peter Haima is a scholar working on Genetics, Ecology, Molecular Biology, Biotechnology and Oncology, having authored 15 papers that have together received 941 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Fungal and yeast genetics research (4 papers), Bacterial biofilms and quorum sensing (2 papers), Microbial metabolism and enzyme function (2 papers), RNA and protein synthesis mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Biology (792 citations), Biotechnology (80 citations), Genetics (234 citations), Ecology (152 citations) and Biochemistry (33 citations). Peter Haima has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Sierd Bron, Marten Veenhuis, Gerard Venema, Klaas Nico Faber, Wim Harder, Geert AB, W. Harder, Hans R. Waterham, Vladimir I. Titorenko and James M. Cregg. Their work appears in journals such as Gene, Current Genetics, Research in Microbiology, 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.

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