Tsung‐Lang Chiu

39 total papers · 700 total citations
32 papers, 544 citations indexed

About

Tsung‐Lang Chiu is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, Tsung‐Lang Chiu has authored 32 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Tsung‐Lang Chiu's work include Glioma Diagnosis and Treatment (5 papers), Traditional Chinese Medicine Analysis (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Tsung‐Lang Chiu is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Traditional Chinese Medicine Analysis (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Tsung‐Lang Chiu collaborates with scholars based in Taiwan, United States and Japan. Tsung‐Lang Chiu's co-authors include Chin‐Cheng Su, San‐Yuan Chen, Shang‐Hsiu Hu, You‐Yin Chen, Jen‐Hung Fang, Yen‐Ho Lai, Sheng‐Chun Chiu, Cheng‐Yoong Pang, Chin Cheng Su and C.-C. Su and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Stem Cells.

In The Last Decade

Tsung‐Lang Chiu

30 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Tsung‐Lang Chiu	240	141	114	102	57	32	544
Tingfang Wang	200 0.8×	99 0.7×	130 1.1×	32 0.3×	16 0.3×	46	580
Aastha Singh	190 0.8×	56 0.4×	40 0.4×	35 0.3×	91 1.6×	27	581
Haiying Hua	236 1.0×	104 0.7×	74 0.6×	27 0.3×	20 0.4×	43	571
Mehdi Sanati	235 1.0×	120 0.9×	121 1.1×	36 0.4×	24 0.4×	35	591
Maria Antonietta Oliva	340 1.4×	63 0.4×	47 0.4×	23 0.2×	111 1.9×	28	613
Lina Zhou	254 1.1×	52 0.4×	32 0.3×	38 0.4×	23 0.4×	48	588
Tongming Zhu	178 0.7×	66 0.5×	101 0.9×	17 0.2×	56 1.0×	29	497
Li Guan	253 1.1×	35 0.2×	69 0.6×	37 0.4×	20 0.4×	36	591
Yingjia Yao	326 1.4×	61 0.4×	50 0.4×	37 0.4×	15 0.3×	22	611
Jin Yu	178 0.7×	42 0.3×	148 1.3×	56 0.5×	31 0.5×	21	502

Countries citing papers authored by Tsung‐Lang Chiu

Since Specialization

Citations

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

Fields of papers citing papers by Tsung‐Lang Chiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung‐Lang Chiu. 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 Tsung‐Lang Chiu. The network helps show where Tsung‐Lang Chiu may publish in the future.

Co-authorship network of co-authors of Tsung‐Lang Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Lang Chiu. A scholar is included among the top collaborators of Tsung‐Lang Chiu 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 Tsung‐Lang Chiu. Tsung‐Lang Chiu 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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