Chia Lin Chang

1.3k total citations
33 papers, 909 citations indexed

About

Chia Lin Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chia Lin Chang has authored 33 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chia Lin Chang's work include Neuropeptides and Animal Physiology (10 papers), Reproductive Biology and Fertility (6 papers) and Receptor Mechanisms and Signaling (5 papers). Chia Lin Chang is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Reproductive Biology and Fertility (6 papers) and Receptor Mechanisms and Signaling (5 papers). Chia Lin Chang collaborates with scholars based in Taiwan, United States and Australia. Chia Lin Chang's co-authors include Sheau Yu Hsu, Jaesook Roh, Cynthia Klein, Jae‐Il Park, Chin‐Jung Wang, Y K Soong, Hsin‐Shih Wang, Yung‐Kuei Soong, James J. Cai and Wei Yi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chia Lin Chang

30 papers receiving 898 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia Lin Chang Taiwan 15 448 428 139 128 125 33 909
Barry G. Kasson United States 22 253 0.6× 373 0.9× 224 1.6× 329 2.6× 327 2.6× 40 1.2k
Fiona C. Britton United States 21 384 0.9× 1.0k 2.5× 75 0.5× 29 0.2× 59 0.5× 31 1.5k
María Leiza Vitale Canada 17 96 0.2× 325 0.8× 49 0.4× 121 0.9× 184 1.5× 29 647
Kanako Morohaku Japan 10 122 0.3× 433 1.0× 226 1.6× 86 0.7× 171 1.4× 18 767
Haruhiko Kanasaki Japan 22 301 0.7× 550 1.3× 248 1.8× 315 2.5× 997 8.0× 122 1.7k
Yow‐Jiun Jeng United States 13 125 0.3× 182 0.4× 57 0.4× 61 0.5× 58 0.5× 20 570
Neslihan Önenli Mungan Türkiye 15 120 0.3× 511 1.2× 57 0.4× 231 1.8× 631 5.0× 97 1.4k
Patrizia M. Germano United States 17 246 0.5× 221 0.5× 17 0.1× 64 0.5× 62 0.5× 36 695
Lisa M. Halvorson United States 23 208 0.5× 624 1.5× 403 2.9× 571 4.5× 604 4.8× 53 1.9k
Aki Oride Japan 16 193 0.4× 243 0.6× 100 0.7× 137 1.1× 498 4.0× 85 781

Countries citing papers authored by Chia Lin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia Lin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia Lin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia Lin Chang. A scholar is included among the top collaborators of Chia Lin Chang 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 Lin Chang. Chia Lin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Chia‐Jung, et al.. (2023). Progestin Primed Ovarian Stimulation (PPOS) protocol yields lower euploidy rate in older patients undergoing IVF. Reproductive Biology and Endocrinology. 21(1). 72–72. 23 indexed citations
2.
Chang, Chia Lin, et al.. (2023). Stable adrenomedullin analog mitigates placental ischemia-induced hypertension and fetal growth restriction in rats. Journal of Hypertension. 41(7). 1127–1141.
3.
Chang, Chia Lin, et al.. (2023). A gel-forming α-MSH analog promotes lasting melanogenesis. European Journal of Pharmacology. 958. 176008–176008. 1 indexed citations
4.
Chang, Chia Lin. (2023). Facilitation of Ovarian Response by Mechanical Force—Latest Insight on Fertility Improvement in Women with Poor Ovarian Response or Primary Ovarian Insufficiency. International Journal of Molecular Sciences. 24(19). 14751–14751. 7 indexed citations
5.
Chang, Chia Lin, et al.. (2022). Gel-forming antagonist provides a lasting effect on CGRP-induced vasodilation. Frontiers in Pharmacology. 13. 1040951–1040951. 2 indexed citations
6.
Chang, Chia Lin, et al.. (2022). Sustained Activation of CLR/RAMP Receptors by Gel-Forming Agonists. International Journal of Molecular Sciences. 23(21). 13408–13408. 9 indexed citations
7.
Chang, Chia Lin & Sheau Yu Hsu. (2019). Development of chimeric and bifunctional antagonists for CLR/RAMP receptors. PLoS ONE. 14(5). e0216996–e0216996. 20 indexed citations
8.
Soong, Y K, et al.. (2019). Obstetric and perinatal outcomes of pregnancy in patients with repeated implantation failure. Taiwanese Journal of Obstetrics and Gynecology. 58(4). 487–491. 5 indexed citations
9.
Chang, Chia Lin, et al.. (2017). Detection of SEA-type α-thalassemia in embryo biopsies by digital PCR. Taiwanese Journal of Obstetrics and Gynecology. 56(4). 487–494. 7 indexed citations
10.
Wang, Chin‐Jung, et al.. (2011). Site-specific endometrial injury improves implantation and pregnancy in patients with repeated implantation failures. Reproductive Biology and Endocrinology. 9(1). 140–140. 44 indexed citations
11.
Chang, Chia Lin, et al.. (2010). Adaptive selection of an incretin gene in Eurasian populations. Genome Research. 21(1). 21–32. 12 indexed citations
12.
Chang, Chia Lin, Jae‐Il Park, & Sheau Yu Hsu. (2009). Activation of Calcitonin Receptor and Calcitonin Receptor-like Receptor by Membrane-anchored Ligands. Journal of Biological Chemistry. 285(2). 1075–1080. 5 indexed citations
13.
Park, Jae‐Il, et al.. (2008). GPCR Genes Are Preferentially Retained after Whole Genome Duplication. PLoS ONE. 3(4). e1903–e1903. 18 indexed citations
14.
Park, Jae‐Il, et al.. (2008). Regulation of Receptor Signaling by Relaxin A Chain Motifs. Journal of Biological Chemistry. 283(46). 32099–32109. 31 indexed citations
15.
Chang, Chia Lin, et al.. (2008). Radical Divergence of CEACAM Family Genes in Mammals.. Biology of Reproduction. 78(Suppl_1). 194–194.
16.
Chang, Chia Lin, Jaesook Roh, Jae‐Il Park, et al.. (2005). Intermedin Functions as a Pituitary Paracrine Factor Regulating Prolactin Release. Molecular Endocrinology. 19(11). 2824–2838. 30 indexed citations
17.
Park, Jae‐Il, Chia Lin Chang, & Sheau Yu Hsu. (2005). New Insights into Biological Roles of Relaxin and Relaxin-related Peptides. Reviews in Endocrine and Metabolic Disorders. 6(4). 291–296. 28 indexed citations
18.
Chang, Chia Lin & Sheau Yu Hsu. (2004). Ancient evolution of stress-regulating peptides in vertebrates. Peptides. 25(10). 1681–1688. 58 indexed citations
19.
20.
Carethers, John M., Frank B. Furnari, Marilyn C. Jones, et al.. (1998). Absence of PTEN/MMAC1 germ-line mutations in sporadic Bannayan-Riley-Ruvalcaba syndrome.. PubMed. 58(13). 2724–6. 23 indexed citations

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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