Michelle S. Lewis

1.3k citations
11 papers · 1.0k indexed · h-index 9
Topics
Chromosomal and Genetic Variations (4 papers)CRISPR and Genetic Engineering (3 papers)Diabetes Treatment and Management (3 papers)
Partner nations
United StatesPortugal

In The Last Decade

Michelle S. Lewis

11 papers receiving 997 citations

Peers

Michelle S. Lewis
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 652
  • Molecular Biology 465
  • Plant Science 281
  • Surgery 249
  • Pharmacology 152
Replace Hideaki Inoue with:
Hideaki Inoue Japan
Ellen Dempsey United States
G. Thomas France
G. F. Weinbauer India
Leslie Abrams United States
Eugênio Gonçalves de Araújo Brazil
Tomoko Mikami Japan
Toshihiko Suzuki Japan
Ria B. Oonk Netherlands
Ji-liang Zhao United States
Michelle S. Lewis relative to Hideaki Inoue Japan Hideaki Inoue's profile →
Citations per field
00.5×10×15×19×
Hideaki Inoue · 1×
Citations per year

Countries citing papers authored by Michelle S. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Michelle S. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle S. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle S. Lewis. A scholar is included among the top collaborators of Michelle S. 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 Michelle S. Lewis. Michelle S. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 80
2 423
3 102
4 89
5 21
6 4
7 23
8 219
9 42
10 30
11 4

About Michelle S. Lewis

Michelle S. Lewis is a scholar working on Endocrinology, Diabetes and Metabolism, Plant Science and Microbiology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (652 citations), Pharmacology (152 citations) and Plant Science (281 citations). Michelle S. Lewis has collaborated with scholars based in United States and Portugal. Frequent co-authors include Leonard C. Glass, Richard M. Bergenstal, Craig S. Pikaard, Anita Y. M. Kwan, Byron J. Hoogwerf, Cory R. Heilmann, Julio Rosenstock, John B. Buse, Yongming Qu and Luca Comai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and PLoS ONE.

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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