Kimberly Lewis

75 total papers · 913 total citations
34 papers, 562 citations indexed

About

Kimberly Lewis is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Kimberly Lewis has authored 34 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Clinical Psychology, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Molecular Biology. Recurrent topics in Kimberly Lewis's work include COVID-19 and Mental Health (5 papers), Long-Term Effects of COVID-19 (4 papers) and Cancer-related molecular mechanisms research (3 papers). Kimberly Lewis is often cited by papers focused on COVID-19 and Mental Health (5 papers), Long-Term Effects of COVID-19 (4 papers) and Cancer-related molecular mechanisms research (3 papers). Kimberly Lewis collaborates with scholars based in United States, Canada and Saudi Arabia. Kimberly Lewis's co-authors include Sharon A. Brown, Shelli R. Kesler, Ashley M. Henneghan, Alison E. Harvey, Stephen D. Hursting, Susan M. Fischer, Laura M. Lashinger, Lawrence Mbuagbaw, Bin Du and Bram Rochwerg and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Kimberly Lewis

32 papers receiving 546 citations

Hit Papers

Corticosteroids in COVID-... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Kimberly Lewis 103 100 82 78 77 34 562
Gail Stewart 93 0.9× 61 0.6× 49 0.6× 49 0.6× 61 0.8× 32 685
Wil Van Cleve 122 1.2× 35 0.3× 60 0.7× 51 0.7× 51 0.7× 28 690
Liangying Hou 60 0.6× 50 0.5× 71 0.9× 34 0.4× 48 0.6× 44 558
Elizabeth McNamara 95 0.9× 60 0.6× 42 0.5× 57 0.7× 64 0.8× 35 633
Xiaorong Wang 43 0.4× 187 1.9× 61 0.7× 82 1.1× 131 1.7× 41 645
Raden Ayu Tuty Kuswardhani 71 0.7× 138 1.4× 82 1.0× 35 0.4× 40 0.5× 44 595
Fang‐Wen Hu 145 1.4× 128 1.3× 49 0.6× 45 0.6× 54 0.7× 49 593
Andrea R. Levine 146 1.4× 66 0.7× 34 0.4× 61 0.8× 56 0.7× 37 673
Pasquale Buonanno 38 0.4× 47 0.5× 42 0.5× 53 0.7× 47 0.6× 57 634
Alberto Zucchelli 201 2.0× 61 0.6× 146 1.8× 83 1.1× 27 0.4× 40 631

Countries citing papers authored by Kimberly Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Lewis

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