Dana C. Hammell

55 total papers · 1.9k total citations
45 papers, 1.5k citations indexed

About

Dana C. Hammell is a scholar working on Pharmaceutical Science, Dermatology and Pharmacology. According to data from OpenAlex, Dana C. Hammell has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pharmaceutical Science, 14 papers in Dermatology and 11 papers in Pharmacology. Recurrent topics in Dana C. Hammell's work include Advancements in Transdermal Drug Delivery (22 papers), Dermatology and Skin Diseases (13 papers) and Cannabis and Cannabinoid Research (11 papers). Dana C. Hammell is often cited by papers focused on Advancements in Transdermal Drug Delivery (22 papers), Dermatology and Skin Diseases (13 papers) and Cannabis and Cannabinoid Research (11 papers). Dana C. Hammell collaborates with scholars based in United States, Egypt and Thailand. Dana C. Hammell's co-authors include Audra L. Stinchcomb, Satyanarayana Valiveti, Kalpana S. Paudel, S.T. Franklin, Sabrina L. McIlwrath, Liping Zhang, Peter A. Crooks, Karin N. Westlund, Fang Ma and Sarah M. Abshire and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Controlled Release and Journal of Dairy Science.

In The Last Decade

Dana C. Hammell

45 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Dana C. Hammell	619	463	233	228	173	45	1.5k
Kalpana S. Paudel	187 0.3×	649 1.4×	75 0.3×	307 1.3×	148 0.9×	31	1.1k
Paolo De Caprariis	130 0.2×	206 0.4×	93 0.4×	72 0.3×	459 2.7×	70	1.6k
Attila Oláh	482 0.8×	80 0.2×	154 0.7×	519 2.3×	235 1.4×	47	1.4k
Douglas Ormrod	329 0.5×	65 0.1×	107 0.5×	60 0.3×	359 2.1×	61	1.8k
Lucia Pötsch	328 0.5×	59 0.1×	139 0.6×	115 0.5×	153 0.9×	50	1.3k
Marcel Henrique Marcondes Sari	87 0.1×	184 0.4×	45 0.2×	117 0.5×	184 1.1×	81	1.1k
Benjamin P. Ross	242 0.4×	185 0.4×	88 0.4×	31 0.1×	550 3.2×	58	1.7k
Iwona Jarocka-Karpowicz	614 1.0×	44 0.1×	94 0.4×	107 0.5×	266 1.5×	37	1.3k
Rhun Yian Koh	161 0.3×	86 0.2×	93 0.4×	48 0.2×	653 3.8×	83	1.7k
Cecilia Rustichelli	106 0.2×	424 0.9×	199 0.9×	15 0.1×	349 2.0×	73	1.6k

Countries citing papers authored by Dana C. Hammell

Since Specialization

Citations

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

Fields of papers citing papers by Dana C. Hammell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana C. Hammell

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