Huckaby Lewis

49 total papers · 2.3k total citations
21 papers, 1.8k citations indexed

About

Huckaby Lewis is a scholar working on Dermatology, Pharmacology and Epidemiology. According to data from OpenAlex, Huckaby Lewis has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Dermatology, 4 papers in Pharmacology and 4 papers in Epidemiology. Recurrent topics in Huckaby Lewis's work include Drug-Induced Adverse Reactions (3 papers), Heart Failure Treatment and Management (3 papers) and Membrane-based Ion Separation Techniques (2 papers). Huckaby Lewis is often cited by papers focused on Drug-Induced Adverse Reactions (3 papers), Heart Failure Treatment and Management (3 papers) and Membrane-based Ion Separation Techniques (2 papers). Huckaby Lewis collaborates with scholars based in United Kingdom, Iceland and Switzerland. Huckaby Lewis's co-authors include Stephen O’Rahilly, Vivion Crowley, T D M Williams, Maria A. Soos, Krishna Chatterjee, Alan J. Schafer, Maura Agostini, John W. R. Schwabe, Mark Gurnell and Inês Barroso and has published in prestigious journals such as Nature, Diabetes and Human Molecular Genetics.

In The Last Decade

Huckaby Lewis

21 papers receiving 1.7k citations

Hit Papers

Dominant negative mutatio... 1999 2026 2008 2017 1999 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Huckaby Lewis 948 500 310 267 236 21 1.8k
Irena Nowak 601 0.6× 468 0.9× 768 2.5× 107 0.4× 282 1.2× 18 2.1k
Vinícius Andrade‐Oliveira 844 0.9× 434 0.9× 328 1.1× 168 0.6× 510 2.2× 38 2.1k
Ariel Werman 1.2k 1.3× 549 1.1× 430 1.4× 310 1.2× 487 2.1× 14 2.0k
Ilaria Spadoni 878 0.9× 428 0.9× 658 2.1× 159 0.6× 474 2.0× 12 2.0k
Sébastien Fleury 362 0.4× 594 1.2× 323 1.0× 110 0.4× 634 2.7× 27 1.7k
Victòria Ceperuelo‐Mallafré 1.0k 1.1× 778 1.6× 504 1.6× 147 0.6× 302 1.3× 46 2.3k
Nima M. Gharavi 807 0.9× 219 0.4× 278 0.9× 71 0.3× 486 2.1× 45 1.9k
Juanita A. Archer 804 0.8× 464 0.9× 148 0.5× 337 1.3× 79 0.3× 16 1.8k
Fabia Gamboni-Robertson 751 0.8× 186 0.4× 204 0.7× 148 0.6× 1.0k 4.4× 31 2.1k
Lutgart Overbergh 338 0.4× 395 0.8× 245 0.8× 350 1.3× 711 3.0× 23 1.9k

Countries citing papers authored by Huckaby Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Huckaby Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huckaby Lewis

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