Fung-Wei Chang

422 total citations
19 papers, 316 citations indexed

About

Fung-Wei Chang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Fung-Wei Chang has authored 19 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Surgery. Recurrent topics in Fung-Wei Chang's work include Dermatological diseases and infestations (7 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers) and Maternal and Perinatal Health Interventions (3 papers). Fung-Wei Chang is often cited by papers focused on Dermatological diseases and infestations (7 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers) and Maternal and Perinatal Health Interventions (3 papers). Fung-Wei Chang collaborates with scholars based in Taiwan, China and United Kingdom. Fung-Wei Chang's co-authors include Jui‐Ming Liu, Ren‐Jun Hsu, Kuan-Chen Cheng, Her‐Young Su, Yu-Chi Wang, Jah-Yao Liu, Chi‐Huang Chen, Cheng‐Ping Yu, Jar‐Yi Ho and Yi‐Chun Lin and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Affective Disorders.

In The Last Decade

Fung-Wei Chang

17 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fung-Wei Chang Taiwan 10 81 77 65 34 30 19 316
Irawan Yusuf Indonesia 11 87 1.1× 78 1.0× 111 1.7× 34 1.0× 53 1.8× 87 481
Torfinn Støve Madssen Norway 10 21 0.3× 107 1.4× 75 1.2× 43 1.3× 9 0.3× 15 317
Tanja Jankovic‐Karasoulos Australia 14 45 0.6× 102 1.3× 115 1.8× 53 1.6× 18 0.6× 33 518
Paola Serafini Italy 7 41 0.5× 65 0.8× 23 0.4× 13 0.4× 16 0.5× 12 254
Alexandria N. Young United States 11 17 0.2× 166 2.2× 60 0.9× 26 0.8× 21 0.7× 19 340
Ana Paula Ferreira Costa Brazil 9 47 0.6× 28 0.4× 60 0.9× 25 0.7× 26 0.9× 39 341
Majid Khalili Iran 11 63 0.8× 62 0.8× 18 0.3× 7 0.2× 45 1.5× 39 375
S. Lemerle France 13 79 1.0× 103 1.3× 146 2.2× 36 1.1× 8 0.3× 37 594
Reena Yadav India 11 64 0.8× 61 0.8× 92 1.4× 17 0.5× 50 1.7× 53 378
Haley L. Cash United States 9 24 0.3× 155 2.0× 48 0.7× 4 0.1× 27 0.9× 31 351

Countries citing papers authored by Fung-Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Fung-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fung-Wei Chang

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

All Works

19 of 19 papers shown
1.
2.
Liu, Jui‐Ming, et al.. (2021). Preterm Labor Using Tocolysis as a Possible Risk Factor for Postpartum Depression: A 14-Year Population-Based Study in Taiwan. International Journal of Environmental Research and Public Health. 18(13). 7211–7211. 3 indexed citations
3.
Liu, Jui‐Ming, et al.. (2018). Antepartum urinary tract infection and postpartum depression in Taiwan – a nationwide population-based study. BMC Pregnancy and Childbirth. 18(1). 79–79. 6 indexed citations
4.
Liu, Jui‐Ming, et al.. (2018). Increased risk of psoriasis following scabies infection: A nationwide population‐based matched‐cohort study. The Journal of Dermatology. 45(3). 302–308. 9 indexed citations
5.
Chang, Fung-Wei, Hueng‐Chuen Fan, Jui‐Ming Liu, et al.. (2017). Estrogen Enhances the Expression of the Multidrug Transporter Gene ABCG2—Increasing Drug Resistance of Breast Cancer Cells through Estrogen Receptors. International Journal of Molecular Sciences. 18(1). 163–163. 40 indexed citations
6.
Hsu, Ren‐Jun, et al.. (2017). The association between scabies and myasthenia gravis: A nationwide population-based cohort study. Journal of Clinical Neuroscience. 45. 115–120. 4 indexed citations
7.
Liu, Jui‐Ming, Ren‐Jun Hsu, Fung-Wei Chang, et al.. (2017). Increase the risk of intellectual disability in children with scabies. Medicine. 96(23). e7108–e7108. 10 indexed citations
8.
Liu, Jui‐Ming, et al.. (2017). The climate impact on female acute pyelonephritis in Taiwan: A population-based study. Taiwanese Journal of Obstetrics and Gynecology. 56(4). 437–441. 6 indexed citations
9.
Lin, Chien‐Yu, Fung-Wei Chang, Chun-Hung Chang, et al.. (2017). Increased risk of bipolar disorder in patients with scabies: A nationwide population-based matched-cohort study. Psychiatry Research. 257. 14–20. 8 indexed citations
10.
Liu, Jui‐Ming, et al.. (2017). Incidence of autoimmune diseases in patients with scabies: a nationwide population-based study in Taiwan. Rheumatology International. 37(7). 1125–1134. 8 indexed citations
11.
Liu, Jui‐Ming, Te‐Wei Ho, Fung-Wei Chang, et al.. (2017). Patients with Epididymo-Orchitis and Meteorological Impact in Taiwan: A Nationwide Population-Based Study. Canadian Journal of Infectious Diseases and Medical Microbiology. 2017. 1–7. 4 indexed citations
12.
Chang, Fung-Wei, Jui‐Ming Liu, Her‐Young Su, et al.. (2017). An association between rheumatoid arthritis and scabies infection: A population-based study in Taiwan. Journal of Medical Sciences. 37(2). 50–50.
13.
Chang, Fung-Wei, Wen‐Ying Lee, Kuan-Chen Cheng, et al.. (2016). The relationship between economic conditions and postpartum depression in Taiwan: a nationwide population-based study. Journal of Affective Disorders. 204. 174–179. 27 indexed citations
14.
Liu, Jui‐Ming, et al.. (2016). The effects of climate factors on scabies. A 14-year population-based study in Taiwan. Parasite. 23. 54–54. 57 indexed citations
15.
Ho, Jar‐Yi, Fung-Wei Chang, Jui‐Ming Liu, et al.. (2016). Estrogen Enhances the Cell Viability and Motility of Breast Cancer Cells through the ERα-ΔNp63-Integrin β4 Signaling Pathway. PLoS ONE. 11(2). e0148301–e0148301. 17 indexed citations
16.
Hsu, Ren‐Jun, Jyh-Cherng Yu, Fung-Wei Chang, et al.. (2015). The triterpenoids of Hibiscus syriacus induce apoptosis and inhibit cell migration in breast cancer cells. BMC Complementary and Alternative Medicine. 15(1). 65–65. 52 indexed citations
17.
Lin, Yun, et al.. (2015). EphA2 is a biomarker of hMSCs derived from human placenta and umbilical cord. Taiwanese Journal of Obstetrics and Gynecology. 54(6). 749–756. 10 indexed citations
18.
Lai, Hung‐Cheng, et al.. (2007). Laparoscopy-assisted Robotic Myomectomy Using the DA Vinci System. Taiwanese Journal of Obstetrics and Gynecology. 46(2). 174–176. 11 indexed citations
19.
Wang, Yu-Chi, Her‐Young Su, Jah-Yao Liu, Fung-Wei Chang, & Chi‐Huang Chen. (2005). Maternal and female fetal virilization caused by pregnancy luteomas. Fertility and Sterility. 84(2). 509.e15–509.e17. 44 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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