Laszlo Hackler
Impact in
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- Neuropeptides and Animal Physiology
- Physiology top 2%
- Pain Mechanisms and Treatments
Papers in
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- Neuropeptides and Animal Physiology 16
- Food Science 16
- Proteins in Food Systems 7
- Co-authors
- James E. Zadina (12 shared papers)Lin-Jun Ge (6 shared papers)Abba J. Kastin (2 shared papers)Abba J. Kastin (16 shared papers)K. H. Steinkraus (13 shared papers)Abba J. Kastin (5 shared papers)Mahmood Hasan Khan (1 shared paper)Victoria L. Akerstrom (6 shared papers)
- Journals
- Journal of Food Science (10 papers)Journal of Nutrition (6 papers)Peptides (5 papers)Journal of Agricultural and Food Chemistry (5 papers)American Journal of Enology and Viticulture (4 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Laszlo Hackler
65 papers receiving 3.2k citations
Laszlo Hackler's Hit Papers
Peers
Comparison fields: 5 of 136
- Cellular and Molecular Neuroscience 1.8k
- Physiology 911
- Endocrine and Autonomic Systems 218
- Nutrition and Dietetics 507
- Food Science 530
Countries citing papers authored by Laszlo Hackler
This map shows the geographic impact of Laszlo Hackler'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 Laszlo Hackler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laszlo Hackler more than expected).
Fields of papers citing papers by Laszlo Hackler
This network shows the impact of papers produced by Laszlo Hackler. 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 Laszlo Hackler. The network helps show where Laszlo Hackler may publish in the future.
Co-authors
The 25 scholars most cited alongside Laszlo Hackler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A potent and selective endogenous agonist for the µ-opiate receptor Hit paper breakdown → | 1997 | 1156 |
| 2 | 1997 | 167 | |
| 3 | 1980 | 150 | |
| 4 | 1983 | 150 | |
| 5 | 1981 | 118 | |
| 6 | 1999 | 117 | |
| 7 | 1980 | 95 | |
| 8 | 2015 | 80 | |
| 9 | 1977 | 78 | |
| 10 | 1983 | 69 | |
| 11 | 1997 | 66 | |
| 12 | 1965 | 65 | |
| 13 | 1962 | 56 | |
| 14 | 1997 | 53 | |
| 15 | 1998 | 51 | |
| 16 | 1994 | 51 | |
| 17 | 1984 | 47 | |
| 18 | 2000 | 47 | |
| 19 | 2001 | 37 | |
| 20 | 1993 | 36 |
About Laszlo Hackler
Laszlo Hackler is a scholar working on Cellular and Molecular Neuroscience, Food Science, Nutrition and Dietetics, Animal Science and Zoology and Plant Science, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (10 papers), Macrophage Migration Inhibitory Factor (8 papers), Phytase and its Applications (8 papers), Pain Mechanisms and Treatments (7 papers), Proteins in Food Systems (7 papers), Food composition and properties (7 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Physiology (911 citations), Endocrine and Autonomic Systems (218 citations), Nutrition and Dietetics (507 citations) and Food Science (530 citations). Laszlo Hackler has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include James E. Zadina, Lin-Jun Ge, Abba J. Kastin, Abba J. Kastin, K. H. Steinkraus, Abba J. Kastin, Mahmood Hasan Khan, Victoria L. Akerstrom, Jerry M. Rivers and B.A. Lewis. Their work appears in journals such as Journal of Food Science, Journal of Nutrition, Peptides, Journal of Agricultural and Food Chemistry and American Journal of Enology and Viticulture.
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.