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
-
- Bacterial Identification and Susceptibility Testing 4
-
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Harlyn O. HalvorsonJames E. HopperJoel A. HubermanR H RowndAndrzej PrończukK. C. HayesSean W. PawlowskiTimothy C Jenkins
- Journals
- Cell (3 papers)Analytical Biochemistry (2 papers)Gene (1 paper)Cancer (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Daniel Perlman
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Biotechnology 180
- Molecular Biology 1.0k
- Genetics 388
- Cell Biology 148
- Endocrinology 46
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-authorship network
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 | 2016 | 13 | |
| 2 | 2015 | 19 | |
| 3 | 2014 | 38 | |
| 4 | 2014 | 22 | |
| 5 | 2009 | 30 | |
| 6 | 2008 | 1 | |
| 7 | 2007 | 7 | |
| 8 | 2001 | 44 | |
| 9 | Human Volunteer Studies with Campylobacter jejuni | 1993 | 25 |
| 10 | 1990 | 3 | |
| 11 | 1987 | 12 | |
| 12 | 1987 | 14 | |
| 13 | 1986 | 12 | |
| 14 | 1984 | 21 | |
| 15 | A putative signal peptidase recognition site and sequence in eukaryotic and prokaryotic signal peptides Hit paper breakdown → | 1983 | 1035 |
| 16 | 1981 | 128 | |
| 17 | 1979 | 105 | |
| 18 | 1977 | 19 | |
| 19 | 1977 | 64 | |
| 20 | 1976 | 41 |
About Daniel Perlman
Daniel Perlman is a scholar working on Clinical Biochemistry, Infectious Diseases, Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Endocrinology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Streptococcal Infections and Treatments (4 papers), Bacteriophages and microbial interactions (3 papers), Microbial Metabolites in Food Biotechnology (3 papers), Fungal and yeast genetics research (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Biotechnology (180 citations), Molecular Biology (1.0k citations), Genetics (388 citations), Cell Biology (148 citations) and Endocrinology (46 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, Andrzej Prończuk, K. C. Hayes, Sean W. Pawlowski, Timothy C Jenkins, William J. Burman and Bryan Knepper. Their work appears in journals such as Cell, Analytical Biochemistry, Gene, Cancer and American Journal of Clinical Nutrition.
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.