Diane C. Waters

15 total papers · 675 total citations
13 papers, 532 citations indexed

About

Diane C. Waters is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Diane C. Waters has authored 13 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Diane C. Waters's work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Diane C. Waters is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Diane C. Waters collaborates with scholars based in United States and Canada. Diane C. Waters's co-authors include Bruce D. Gitter, J. Jeffry Howbert, Robert F. Bruns, Norman R. Mason, James A. Nixon, D. Regoli, Kevin R. Steidley, Andrew L. Glasebrook, Linda K. Simmons and J. Thomas Hjelle and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Diane C. Waters

13 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Diane C. Waters	287	281	200	43	39	13	532
David N. Hammond	235 0.8×	247 0.9×	58 0.3×	37 0.9×	16 0.4×	12	509
Eszter Banki	234 0.8×	209 0.7×	93 0.5×	76 1.8×	45 1.2×	17	495
Melanie Watson	113 0.4×	174 0.6×	259 1.3×	79 1.8×	59 1.5×	16	501
Yanqing Kan	277 1.0×	170 0.6×	74 0.4×	92 2.1×	41 1.1×	11	527
Koteswara R. Chundu	121 0.4×	232 0.8×	339 1.7×	81 1.9×	23 0.6×	8	607
T Dam	225 0.8×	254 0.9×	71 0.4×	26 0.6×	45 1.2×	16	605
Y Saitoh	126 0.4×	290 1.0×	119 0.6×	85 2.0×	18 0.5×	25	554
Olivier Muntaner	199 0.7×	405 1.4×	64 0.3×	25 0.6×	17 0.4×	13	584
Jonathon S. Dunn	107 0.4×	149 0.5×	126 0.6×	60 1.4×	27 0.7×	10	587
Qingquan Lian	98 0.3×	149 0.5×	70 0.3×	48 1.1×	112 2.9×	15	508

Countries citing papers authored by Diane C. Waters

Since Specialization

Citations

This map shows the geographic impact of Diane C. Waters'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 Diane C. Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane C. Waters more than expected).

Fields of papers citing papers by Diane C. Waters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane C. Waters. 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 Diane C. Waters. The network helps show where Diane C. Waters may publish in the future.

Co-authorship network of co-authors of Diane C. Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Diane C. Waters. A scholar is included among the top collaborators of Diane C. Waters 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 Diane C. Waters. Diane C. Waters 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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