Chia‐Chen Teng

73 total papers · 701 total citations
43 papers, 492 citations indexed

About

Chia‐Chen Teng is a scholar working on Rheumatology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Chia‐Chen Teng has authored 43 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Epidemiology. Recurrent topics in Chia‐Chen Teng's work include Rheumatoid Arthritis Research and Therapies (11 papers), Diabetes Treatment and Management (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Chia‐Chen Teng is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (11 papers), Diabetes Treatment and Management (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Chia‐Chen Teng collaborates with scholars based in United States, Canada and United Kingdom. Chia‐Chen Teng's co-authors include Brian C. Sauer, Grant W. Cannon, Ted R. Mikuls, Jianwei Leng, Jeffrey R. Curtis, Edward J. Kimball, Carol Hope, Joshua F. Baker, Mary C. Mone and Raminder Nirula and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Chia‐Chen Teng

38 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Chia‐Chen Teng	151	104	75	67	55	43	492
Maureen A. Seckel	126 0.8×	86 0.8×	74 1.0×	49 0.7×	81 1.5×	39	463
Clare Proudfoot	127 0.8×	176 1.7×	174 2.3×	139 2.1×	47 0.9×	36	542
Tae Sun Ha	123 0.8×	47 0.5×	19 0.3×	21 0.3×	31 0.6×	32	427
Armelle Gentric	36 0.2×	41 0.4×	82 1.1×	13 0.2×	38 0.7×	49	421
Tobias Schlesinger	22 0.1×	80 0.8×	59 0.8×	56 0.8×	21 0.4×	31	523
Jesper Mølgaard	78 0.5×	20 0.2×	113 1.5×	100 1.5×	9 0.2×	39	534
Rashmi Dhital	70 0.5×	13 0.1×	89 1.2×	9 0.1×	47 0.9×	56	532
Nurettin Ünal	18 0.1×	38 0.4×	94 1.3×	29 0.4×	21 0.4×	59	475
Steven Menez	51 0.3×	54 0.5×	43 0.6×	5 0.1×	34 0.6×	46	450
Ebru Ünal Akoğlu	33 0.2×	22 0.2×	50 0.7×	10 0.1×	40 0.7×	55	466

Countries citing papers authored by Chia‐Chen Teng

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Chen Teng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Chen 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 Chia‐Chen Teng. The network helps show where Chia‐Chen Teng may publish in the future.

Co-authorship network of co-authors of Chia‐Chen Teng

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