Phyllis S. Goldman

16 total papers · 917 total citations
15 papers, 772 citations indexed

About

Phyllis S. Goldman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Phyllis S. Goldman has authored 15 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Phyllis S. Goldman's work include Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (5 papers) and Neuropeptides and Animal Physiology (4 papers). Phyllis S. Goldman is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (5 papers) and Neuropeptides and Animal Physiology (4 papers). Phyllis S. Goldman collaborates with scholars based in United States. Phyllis S. Goldman's co-authors include Richard H. Goodman, Văn Khanh Trần, Neil M. Nathanson, Roland P.S. Kwok, Laurie M. Connor, James R. Lundblad, Hsiu‐Ming Shih, Susan J. Marriott, Megan E. Laurance and Kathleen M. Tietje and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Phyllis S. Goldman

14 papers receiving 756 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Phyllis S. Goldman	468	266	177	171	145	15	772
Kenneth G. Low	257 0.5×	285 1.1×	204 1.2×	205 1.2×	185 1.3×	14	681
M Muramatsu	553 1.2×	175 0.7×	111 0.6×	109 0.6×	36 0.2×	15	796
Ryozo Moriuchi	540 1.2×	287 1.1×	204 1.2×	193 1.1×	24 0.2×	25	869
Jean‐Denis Franssen	251 0.5×	370 1.4×	87 0.5×	53 0.3×	79 0.5×	15	745
Lori B. Christerson	551 1.2×	256 1.0×	83 0.5×	70 0.4×	37 0.3×	9	796
M Bailly	515 1.1×	158 0.6×	61 0.3×	67 0.4×	36 0.2×	14	699
Luc d’Auriol	303 0.6×	165 0.6×	80 0.5×	60 0.4×	37 0.3×	14	701
Felix J. Kim	430 0.9×	179 0.7×	67 0.4×	61 0.4×	144 1.0×	18	672
Mitsuhiro Osame	148 0.3×	653 2.5×	343 1.9×	355 2.1×	101 0.7×	18	893
Shenghuan Sun	333 0.7×	447 1.7×	160 0.9×	137 0.8×	22 0.2×	18	828

Countries citing papers authored by Phyllis S. Goldman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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