T. Lewis

7.4k total citations · 3 hit papers
61 papers, 5.7k citations indexed

About

T. Lewis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Statistics and Probability. According to data from OpenAlex, T. Lewis has authored 61 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Statistics and Probability. Recurrent topics in T. Lewis's work include Ion channel regulation and function (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Nicotinic Acetylcholine Receptors Study (14 papers). T. Lewis is often cited by papers focused on Ion channel regulation and function (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Nicotinic Acetylcholine Receptors Study (14 papers). T. Lewis collaborates with scholars based in Australia, United Kingdom and United States. T. Lewis's co-authors include V. Barnett, Anthony C. Atkinson, N. I. Fisher, B. J. J. Embleton, Peter E. Jupp, Peter R. Schofield, Ian H. Langford, David Colquhoun, Lucia G. Sivilotti and Nathan L. Absalom and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

T. Lewis

61 papers receiving 5.1k citations

Hit Papers

Outliers in Statistical Data 1979 2026 1994 2010 1979 1995 1988 500 1000 1.5k 2.0k

Peers

T. Lewis
Comparison fields: 5 of 210
  • Artificial Intelligence 1.5k
  • Statistics and Probability 1.1k
  • Molecular Biology 1.0k
  • Statistics, Probability and Uncertainty 526
  • Computer Networks and Communications 426
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Citations per field, relative to T. Lewis
T. Lewis · 1×
Citations per year, relative to T. Lewis
T. Lewis · 1×

Countries citing papers authored by T. Lewis

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lewis more than expected).

Fields of papers citing papers by T. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Lewis

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 4
3 11
4 9
5 3
6 16
7 18
8 49
9 5
10 40
11 66
12 38
13
A transient hyperekplexia phenotype associated with compound heterozygote mutations in the human beta-subunit of the inhibitory glycine receptor (GLRB)
2
14 9
15 91
16 107
17 100
18 20
19 37
20 12

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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