Daniel P. Haeusser
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 5
- Fungal and yeast genetics research 3
- DNA Repair Mechanisms 2
- Protein Structure and Dynamics 2
- Genetics 12
- Bacterial Genetics and Biotechnology 12
- Co-authors
- William Margolin (8 shared papers)Petra Anne Levin (7 shared papers)Amy Huei‐Yi Lee (2 shared papers)Norbert S. Hill (1 shared paper)Rachel Schwartz (1 shared paper)Alison M. Smith (1 shared paper)Veronica W. Rowlett (1 shared paper)Donald L. Court (2 shared papers)
- Journals
- Molecular Microbiology (4 papers)Journal of Bacteriology (4 papers)Current Biology (1 paper)Genetics (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Daniel P. Haeusser
16 papers receiving 957 citations
Peers
Comparison fields: 5 of 82
- Genetics 579
- Molecular Medicine 93
- Ecology 368
- Endocrinology 71
- Molecular Biology 692
Countries citing papers authored by Daniel P. Haeusser
This map shows the geographic impact of Daniel P. Haeusser'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 Daniel P. Haeusser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Haeusser more than expected).
Fields of papers citing papers by Daniel P. Haeusser
This network shows the impact of papers produced by Daniel P. Haeusser. 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 Daniel P. Haeusser. The network helps show where Daniel P. Haeusser may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Haeusser, 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 | 2007 | 276 | |
| 2 | 2016 | 240 | |
| 3 | 2004 | 107 | |
| 4 | 2014 | 67 | |
| 5 | 2008 | 64 | |
| 6 | 2016 | 51 | |
| 7 | 2007 | 38 | |
| 8 | 2009 | 38 | |
| 9 | 2015 | 36 | |
| 10 | 2002 | 27 | |
| 11 | 2023 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2004 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2012 | 2 | |
| 16 | 2019 | 1 |
About Daniel P. Haeusser
Daniel P. Haeusser is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Cell Biology, having authored 16 papers that have together received 979 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (10 papers), RNA and protein synthesis mechanisms (5 papers), Fungal and yeast genetics research (3 papers), DNA Repair Mechanisms (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Genetics (579 citations), Molecular Medicine (93 citations), Ecology (368 citations), Endocrinology (71 citations) and Molecular Biology (692 citations). Daniel P. Haeusser has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include William Margolin, Petra Anne Levin, Amy Huei‐Yi Lee, Norbert S. Hill, Rachel Schwartz, Alison M. Smith, Veronica W. Rowlett, Donald L. Court, Lynn C. Thomason and Anna I. Weaver. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Current Biology, Genetics and PLoS Genetics.
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.