S. L. Chew

15 total papers · 726 total citations
11 papers, 527 citations indexed

About

S. L. Chew is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, S. L. Chew has authored 11 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in S. L. Chew's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). S. L. Chew is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). S. L. Chew collaborates with scholars based in United Kingdom, Singapore and United States. S. L. Chew's co-authors include Ashley Grossman, G. M. Besser, John P. Monson, Paul J. Jenkins, Gregory Kaltsas, Rosemary Foley, Márta Korbonits, Jagat J. Mukherjee, Rodney H. Reznek and P Jenkins and has published in prestigious journals such as Nucleic Acids Research, The Journal of Clinical Endocrinology & Metabolism and Journal of Endocrinology.

In The Last Decade

S. L. Chew

10 papers receiving 510 citations

Author Peers

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

Author						Papers	Cites
S. L. Chew	326	192	122	121	102	11	527
Paolo Dalino Ciaramella	268 0.8×	142 0.7×	210 1.7×	90 0.7×	82 0.8×	21	525
Anthony L. Barbato	238 0.7×	81 0.4×	90 0.7×	46 0.4×	67 0.7×	10	501
H. H. Hansen	220 0.7×	180 0.9×	100 0.8×	72 0.6×	158 1.5×	11	585
Gabriel Spergel	137 0.4×	87 0.5×	107 0.9×	56 0.5×	74 0.7×	18	506
Ji Hun Choi	294 0.9×	147 0.8×	151 1.2×	27 0.2×	74 0.7×	16	496
M Nocaudie	404 1.2×	135 0.7×	200 1.6×	100 0.8×	94 0.9×	16	543
John A. Scarlett	379 1.2×	118 0.6×	178 1.5×	49 0.4×	23 0.2×	14	588
AB Grossman	216 0.7×	213 1.1×	78 0.6×	103 0.9×	96 0.9×	10	475
Dorota Dworakowska	265 0.8×	134 0.7×	73 0.6×	86 0.7×	93 0.9×	17	464
Francisca Caimari	283 0.9×	76 0.4×	161 1.3×	53 0.4×	17 0.2×	20	491

Countries citing papers authored by S. L. Chew

Since Specialization

Citations

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

Fields of papers citing papers by S. L. Chew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. L. Chew

This figure shows the co-authorship network connecting the top 25 collaborators of S. L. Chew. A scholar is included among the top collaborators of S. L. Chew 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 S. L. Chew. S. L. Chew 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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