Sharon D. Langley

1.1k total citations
30 papers, 944 citations indexed

About

Sharon D. Langley is a scholar working on Molecular Biology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sharon D. Langley has authored 30 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Clinical Biochemistry and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sharon D. Langley's work include Metabolism and Genetic Disorders (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Amino Acid Enzymes and Metabolism (6 papers). Sharon D. Langley is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Amino Acid Enzymes and Metabolism (6 papers). Sharon D. Langley collaborates with scholars based in United States and Canada. Sharon D. Langley's co-authors include Louis J. Elsas, Lawrence N. Hjelm, Philip P. Dembure, Nicola Longo, Kent Lai, Robert H. Staat, R.J. Doyle, Rani H. Singh, Robert C. Shuster and Nancy Ramsey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sharon D. Langley

30 papers receiving 890 citations

Peers

Sharon D. Langley
Comparison fields: 5 of 84
  • Clinical Biochemistry 442
  • Molecular Biology 400
  • Biochemistry 275
  • Pediatrics, Perinatology and Child Health 272
  • Genetics 101
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Citations per field, relative to Sharon D. Langley
Sharon D. Langley · 1×
Citations per year, relative to Sharon D. Langley
Sharon D. Langley · 1×

Countries citing papers authored by Sharon D. Langley

Since Specialization
Citations

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

Fields of papers citing papers by Sharon D. Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon D. Langley. 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 Sharon D. Langley. The network helps show where Sharon D. Langley may publish in the future.

Co-authorship network of co-authors of Sharon D. Langley

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon D. Langley. A scholar is included among the top collaborators of Sharon D. Langley 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 Sharon D. Langley. Sharon D. Langley 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 7
2 38
3 38
4 6
5 30
6 2
7 49
8 90
9 6
10 46
11 18
12
A common mutation associated with the Duarte galactosemia allele.
76
13 19
14
Reduced mRNA and a nonsense mutation in the insulin-receptor gene produce heritable severe insulin resistance.
50
15
Molecular genetics of severe insulin resistance.
11
16 24
17 2
18
Comparison of the insulin receptor gene and insulin binding in families with severe insulin resistance.
2
19 13
20 87

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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