C.S. Teng

20 total papers · 709 total citations
19 papers, 569 citations indexed

About

C.S. Teng is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics. According to data from OpenAlex, C.S. Teng has authored 19 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in C.S. Teng's work include Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). C.S. Teng is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). C.S. Teng collaborates with scholars based in China, Hong Kong and United Kingdom. C.S. Teng's co-authors include ROSE T. T. YEUNG, Bernard Rees Smith, R. Hall, P P Yeo, Terry F. Davies, W. M. Ross, D C Evered, Sandra M. McLachlan, F. CLARK and R Hall and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Metabolism.

In The Last Decade

C.S. Teng

19 papers receiving 515 citations

Author Peers

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

Author						Papers	Cites
C.S. Teng	378	201	85	85	79	19	569
Lara Frommer	398 1.1×	197 1.0×	38 0.4×	239 2.8×	39 0.5×	25	682
G Kahaly	352 0.9×	279 1.4×	117 1.4×	78 0.9×	27 0.3×	18	496
James W. Gigantelli	282 0.7×	478 2.4×	183 2.2×	23 0.3×	74 0.9×	17	675
Roshini Fernando	306 0.8×	382 1.9×	40 0.5×	30 0.4×	52 0.7×	24	556
Ming Hui Lee	126 0.3×	155 0.8×	46 0.5×	32 0.4×	20 0.3×	17	521
Maria Gisele Matheus	58 0.2×	105 0.5×	165 1.9×	44 0.5×	257 3.3×	16	655
Benjamin Schrijver	63 0.2×	89 0.4×	31 0.4×	68 0.8×	91 1.2×	29	539
Haruo Tamaki	483 1.3×	91 0.5×	13 0.2×	96 1.1×	39 0.5×	26	664
Concetta Coronella	513 1.4×	75 0.4×	74 0.9×	121 1.4×	25 0.3×	14	658
R K Desai	222 0.6×	74 0.4×	20 0.2×	87 1.0×	110 1.4×	29	686

Countries citing papers authored by C.S. Teng

Since Specialization

Citations

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

Fields of papers citing papers by C.S. Teng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.S. Teng

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