Chang-Te Lin

498 citations
30 papers · 345 · h-index 11

Impact in

Papers in

Chang-Te Lin

28 papers receiving 328 citations

Peers

Chang-Te Lin
Comparison fields: 5 of 76
  • Urology 49
  • Pediatrics, Perinatology and Child Health 134
  • Obstetrics and Gynecology 45
  • Nephrology 40
  • Pulmonary and Respiratory Medicine 182
Replace Jun Ouyang with:
Jun Ouyang China
Yunkai Zhu China
Weijie Zhu China
Jennifer Linehan United States
Viktoria Stühler Germany
Guangcheng Dai China
Youkyoung Lee South Korea
Shuqiu Chen China
David Slosky United States
Salvatore Parisi Italy
Chang-Te Lin relative to Jun Ouyang China Jun Ouyang's profile →
Citations per field
00.5×6.4×
Jun Ouyang · 1×
Citations per year

Countries citing papers authored by Chang-Te Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Te Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Te Lin. 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 Chang-Te Lin. The network helps show where Chang-Te Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Chang-Te Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chang-Te Lin Line = papers co-authored together Chang-Te Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200448
2 201537
3 200428
4 200926
5 200623
6
The correlation between TWIST, E-cadherin, and beta-catenin in human bladder cancer.
201222
7 200521
8 201619
9 200717
10 201013
11 200913
12 201610
13 20128
14 19987
15 20096
16 20086
17
A simple means of making the differential diagnosis of ureterouterine and vesicouterine fistula.
19986
18 20096
19 20075
20 20125

About Chang-Te Lin

Chang-Te Lin is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Archeology, Obstetrics and Gynecology and Surgery, having authored 30 papers that have together received 345 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (14 papers), Pediatric Urology and Nephrology Studies (12 papers), Paleopathology and ancient diseases (6 papers), Ureteral procedures and complications (5 papers), Urinary Bladder and Prostate Research (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer-related gene regulation (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Urology (49 citations), Pediatrics, Perinatology and Child Health (134 citations), Obstetrics and Gynecology (45 citations), Nephrology (40 citations) and Pulmonary and Respiratory Medicine (182 citations). Chang-Te Lin has collaborated with scholars based in Taiwan. Frequent co-authors include Yeong‐Chin Jou, Pi-Che Chen, Ming-Chin Cheng, Cheng‐Huang Shen, Deching Chang, Hsiao‐Yen Hsieh, Cheng‐Da Hsu, Yi‐Wen Liu, Shu-Fen Wu and Shumei Lin. Their work appears in journals such as Urology, Journal of Endourology, Colloid & Polymer Science, Journal of Dispersion Science and Technology and BMC Nephrology.

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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