Daniel Perlman
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
Papers in
-
- DNA and Nucleic Acid Chemistry 4
- Fungal and yeast genetics research 3
- Advanced biosensing and bioanalysis techniques 2
- Oncology 4
- Polyomavirus and related diseases 2
- Neutropenia and Cancer Infections 2
- Co-authors
- Harlyn O. Halvorson (5 shared papers)James E. Hopper (1 shared paper)Joel A. Huberman (2 shared papers)R H Rownd (1 shared paper)K. C. Hayes (1 shared paper)Andrzej Prończuk (1 shared paper)Sean W. Pawlowski (4 shared papers)Bryan Knepper (4 shared papers)
- Journals
- Cell (3 papers)Analytical Biochemistry (2 papers)Molecular Imaging and Biology (1 paper)Blood (1 paper)The American Journal of Emergency Medicine (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Daniel Perlman
20 papers receiving 1.5k citations
Daniel Perlman's Hit Papers
Peers
Comparison fields: 5 of 103
- Biotechnology 187
- Molecular Biology 1.0k
- Genetics 393
- Cell Biology 158
- Endocrinology 48
Countries citing papers authored by Daniel Perlman
This map shows the geographic impact of Daniel Perlman'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 Perlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Perlman more than expected).
Fields of papers citing papers by Daniel Perlman
This network shows the impact of papers produced by Daniel Perlman. 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 Perlman. The network helps show where Daniel Perlman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Perlman, 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 | A putative signal peptidase recognition site and sequence in eukaryotic and prokaryotic signal peptides Hit paper breakdown → | 1983 | 1077 |
| 2 | 1981 | 137 | |
| 3 | 1979 | 112 | |
| 4 | 1977 | 71 | |
| 5 | 2001 | 49 | |
| 6 | 1976 | 47 | |
| 7 | 2014 | 39 | |
| 8 | 2009 | 30 | |
| 9 | Human Volunteer Studies with Campylobacter jejuni | 1993 | 27 |
| 10 | 2014 | 23 | |
| 11 | 2015 | 21 | |
| 12 | 1984 | 21 | |
| 13 | 1977 | 19 | |
| 14 | 1987 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 1987 | 12 | |
| 17 | 1986 | 12 | |
| 18 | 2007 | 8 | |
| 19 | 1990 | 3 | |
| 20 | 2008 | 1 |
About Daniel Perlman
Daniel Perlman is a scholar working on Molecular Biology, Oncology, Ecology, Nutrition and Dietetics and Plant Science, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Fungal and yeast genetics research (3 papers), Bacteriophages and microbial interactions (3 papers), Plant nutrient uptake and metabolism (2 papers), Polyomavirus and related diseases (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Biotechnology (187 citations), Molecular Biology (1.0k citations), Genetics (393 citations), Cell Biology (158 citations) and Endocrinology (48 citations). Daniel Perlman has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Harlyn O. Halvorson, James E. Hopper, Joel A. Huberman, R H Rownd, K. C. Hayes, Andrzej Prończuk, Sean W. Pawlowski, Bryan Knepper, Sarah Moore and Timothy C Jenkins. Their work appears in journals such as Cell, Analytical Biochemistry, Molecular Imaging and Biology, Blood and The American Journal of Emergency Medicine.
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.