Amy Zuckerman
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Pharmacological Receptor Mechanisms and Effects
Papers in
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- Neuropeptides and Animal Physiology 9
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- Receptor Mechanisms and Signaling 7
- Pharmacological Receptor Mechanisms and Effects 4
- Co-authors
- Gavril W. Pasternak (7 shared papers)Albert Chang (3 shared papers)Jin Xu (4 shared papers)Ying‐Xian Pan (4 shared papers)Michael A. King (2 shared papers)Wendy Su (1 shared paper)Elizabeth Bolan (3 shared papers)Grace C. Rossi (4 shared papers)
- Journals
- Molecular Pharmacology (2 papers)Brain Research (2 papers)Cellular and Molecular Neurobiology (2 papers)Journal of Neurochemistry (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Amy Zuckerman
11 papers receiving 621 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 371
- Molecular Biology 405
- Anesthesiology and Pain Medicine 25
- Physiology 124
- Oncology 101
Countries citing papers authored by Amy Zuckerman
This map shows the geographic impact of Amy Zuckerman'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 Amy Zuckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Zuckerman more than expected).
Fields of papers citing papers by Amy Zuckerman
This network shows the impact of papers produced by Amy Zuckerman. 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 Amy Zuckerman. The network helps show where Amy Zuckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Zuckerman, 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 | 1999 | 176 | |
| 2 | 2001 | 163 | |
| 3 | 1998 | 131 | |
| 4 | 1998 | 42 | |
| 5 | 1999 | 28 | |
| 6 | 2000 | 26 | |
| 7 | 2002 | 23 | |
| 8 | 1999 | 19 | |
| 9 | 1999 | 13 | |
| 10 | 2006 | 7 | |
| 11 | 2005 | 3 |
About Amy Zuckerman
Amy Zuckerman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Organic Chemistry and Surgery, having authored 11 papers that have together received 631 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (7 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Pain Mechanisms and Treatments (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Synthesis and Biological Evaluation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (371 citations), Molecular Biology (405 citations), Anesthesiology and Pain Medicine (25 citations), Physiology (124 citations) and Oncology (101 citations). Amy Zuckerman has collaborated with scholars based in United States and Denmark. Frequent co-authors include Gavril W. Pasternak, Albert Chang, Jin Xu, Ying‐Xian Pan, Michael A. King, Wendy Su, Elizabeth Bolan, Grace C. Rossi, Catherine Abbadie and Jianfeng Mei. Their work appears in journals such as Molecular Pharmacology, Brain Research, Cellular and Molecular Neurobiology, Journal of Neurochemistry and Experimental Hematology.
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.