Dianne Agarwal

10 total papers · 444 total citations
8 papers, 343 citations indexed

About

Dianne Agarwal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Dianne Agarwal has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Rheumatology. Recurrent topics in Dianne Agarwal's work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Dianne Agarwal is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Dianne Agarwal collaborates with scholars based in United States. Dianne Agarwal's co-authors include David G. Jackson, Kanji Kawai, Virginia Urquidi, Steve Goodison, Dominic G. Spinella, Valérie Montel, Jeanine Kleeman, Benjamin Nicholson, Jay A. Glasel and Derek D. Sloan and has published in prestigious journals such as Cancer Research, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Dianne Agarwal

7 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Dianne Agarwal	193	178	154	50	34	8	343
Nancy C.M. Caterina	184 1.0×	112 0.6×	263 1.7×	55 1.1×	12 0.4×	9	353
Robert L. Hills	97 0.5×	111 0.6×	122 0.8×	86 1.7×	145 4.3×	9	395
Hun-Taek Kim	128 0.7×	161 0.9×	110 0.7×	26 0.5×	6 0.2×	6	337
Mark D. Roycik	135 0.7×	150 0.8×	167 1.1×	27 0.5×	11 0.3×	10	368
Timothy C. Jensen	80 0.4×	200 1.1×	64 0.4×	31 0.6×	44 1.3×	10	337
Astrid Escudero‐Esparza	94 0.5×	192 1.1×	106 0.7×	17 0.3×	16 0.5×	9	396
Mattia R. Bordoli	56 0.3×	203 1.1×	143 0.9×	21 0.4×	12 0.4×	12	333
Karine Regazzoni	79 0.4×	209 1.2×	62 0.4×	21 0.4×	15 0.4×	8	372
Eric Shi	73 0.4×	133 0.7×	51 0.3×	15 0.3×	65 1.9×	8	307
Christina Manetopoulos	110 0.6×	277 1.6×	75 0.5×	11 0.2×	6 0.2×	8	377

Countries citing papers authored by Dianne Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Dianne Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianne Agarwal. 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 Dianne Agarwal. The network helps show where Dianne Agarwal may publish in the future.

Co-authorship network of co-authors of Dianne Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Dianne Agarwal. A scholar is included among the top collaborators of Dianne Agarwal 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 Dianne Agarwal. Dianne Agarwal 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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