Phyllis S. Goldman
- Molecular Biology
- Immunology top 10%
- Agronomy and Crop Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Richard H. GoodmanVăn Khanh TrầnNeil M. NathansonSusan J. MarriottMegan E. LauranceLaurie M. ConnorHsiu‐Ming ShihRoland P.S. Kwok
- Topics
- Receptor Mechanisms and Signaling (9 papers)Ion channel regulation and function (5 papers)Neuropeptides and Animal Physiology (4 papers)
- Partner nations
- United States
In The Last Decade
Phyllis S. Goldman
14 papers receiving 757 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 468
- Immunology 266
- Agronomy and Crop Science 177
- Ecology, Evolution, Behavior and Systematics 171
- Cellular and Molecular Neuroscience 145
Countries citing papers authored by Phyllis S. Goldman
This map shows the geographic impact of Phyllis S. Goldman'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 Phyllis S. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phyllis S. Goldman more than expected).
Fields of papers citing papers by Phyllis S. Goldman
This network shows the impact of papers produced by Phyllis S. Goldman. 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 Phyllis S. Goldman. The network helps show where Phyllis S. Goldman may publish in the future.
Co-authorship network of co-authors of Phyllis S. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of Phyllis S. Goldman. A scholar is included among the top collaborators of Phyllis S. Goldman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phyllis S. Goldman. Phyllis S. Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | The multifunctional role of the co-activator CBP in transcriptional regulation. | 162 |
| 5 | 29 | |
| 6 | 313 | |
| 7 | 81 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 66 | |
| 14 | 30 | |
| 15 | 4 |
About Phyllis S. Goldman
Phyllis S. Goldman is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 15 papers that have together received 772 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (5 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Agronomy and Crop Science (177 citations), Immunology (266 citations) and Ecology, Evolution, Behavior and Systematics (171 citations). Phyllis S. Goldman has collaborated with scholars based in United States. Frequent co-authors include Richard H. Goodman, Văn Khanh Trần, Neil M. Nathanson, Susan J. Marriott, Megan E. Laurance, Laurie M. Connor, Hsiu‐Ming Shih, Roland P.S. Kwok, James R. Lundblad and Kathleen M. Tietje. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.