Shao-Chun Chang

3.1k total citations · 3 hit papers
7 papers, 2.2k citations indexed

About

Shao-Chun Chang is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Shao-Chun Chang has authored 7 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Shao-Chun Chang's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cellular transport and secretion (2 papers) and Lipid metabolism and biosynthesis (2 papers). Shao-Chun Chang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cellular transport and secretion (2 papers) and Lipid metabolism and biosynthesis (2 papers). Shao-Chun Chang collaborates with scholars based in United States, Japan and South Korea. Shao-Chun Chang's co-authors include William Dowhan, Philip Heacock, Eugenia Mileykovskaya, Dennis R. Voelker, Do‐Youn Oh, Yin Yang, Weijing Sun, Daniel J. Renouf, Pilar García‐Alfonso and Allen Lee Cohn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Lancet Oncology.

In The Last Decade

Shao-Chun Chang

7 papers receiving 2.1k citations

Hit Papers

Ramucirumab versus placebo in combination with second-lin... 2015 2026 2018 2022 2015 2015 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao-Chun Chang United States 7 1.2k 676 637 448 349 7 2.2k
Sara Toffanin United States 14 515 0.4× 890 1.3× 1.2k 1.9× 266 0.6× 793 2.3× 18 2.3k
Zhaoshi Zeng United States 27 1.3k 1.1× 415 0.6× 1.0k 1.6× 397 0.9× 897 2.6× 37 2.6k
Zhong‐Zhe Lin Taiwan 22 740 0.6× 498 0.7× 418 0.7× 552 1.2× 332 1.0× 65 1.5k
Binkui Li China 30 743 0.6× 932 1.4× 1.3k 2.0× 471 1.1× 950 2.7× 103 2.8k
Po‐Lin Lai Taiwan 20 548 0.5× 495 0.7× 933 1.5× 205 0.5× 485 1.4× 25 1.7k
Frauke Bentzien United States 10 665 0.6× 372 0.6× 821 1.3× 522 1.2× 298 0.9× 12 2.1k
Ying‐Hao Shen China 23 413 0.4× 499 0.7× 571 0.9× 247 0.6× 418 1.2× 75 1.5k
Sandrine Boyault France 14 351 0.3× 503 0.7× 1.0k 1.6× 260 0.6× 503 1.4× 20 1.7k
Stefania Brozzetti Italy 21 468 0.4× 337 0.5× 586 0.9× 307 0.7× 393 1.1× 50 1.6k
Tiziana Pressiani Italy 19 735 0.6× 634 0.9× 353 0.6× 440 1.0× 348 1.0× 76 1.5k

Countries citing papers authored by Shao-Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao-Chun Chang

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

All Works

7 of 7 papers shown
1.
O’Reilly, Eileen M., Do‐Youn Oh, Neesha C. Dhani, et al.. (2019). Durvalumab With or Without Tremelimumab for Patients With Metastatic Pancreatic Ductal Adenocarcinoma. JAMA Oncology. 5(10). 1431–1431. 480 indexed citations breakdown →
2.
Zhu, Andrew X., Joon Oh Park, Baek‐Yeol Ryoo, et al.. (2015). Ramucirumab versus placebo as second-line treatment in patients with advanced hepatocellular carcinoma following first-line therapy with sorafenib (REACH): a randomised, double-blind, multicentre, phase 3 trial. The Lancet Oncology. 16(7). 859–870. 634 indexed citations breakdown →
3.
Tabernero, Josep, Takayuki Yoshino, Allen Lee Cohn, et al.. (2015). Ramucirumab versus placebo in combination with second-line FOLFIRI in patients with metastatic colorectal carcinoma that progressed during or after first-line therapy with bevacizumab, oxaliplatin, and a fluoropyrimidine (RAISE): a randomised, double-blind, multicentre, phase 3 study. The Lancet Oncology. 16(5). 499–508. 652 indexed citations breakdown →
4.
Zou, Jun, Shao-Chun Chang, Jasna Marjanovic, & Philip W. Majerus. (2008). MTMR9 Increases MTMR6 Enzyme Activity, Stability, and Role in Apoptosis. Journal of Biological Chemistry. 284(4). 2064–2071. 46 indexed citations
5.
Ungewickell, Alexander, Christopher Hugge, Marina V. Kisseleva, et al.. (2005). The identification and characterization of two phosphatidylinositol-4,5-bisphosphate 4-phosphatases. Proceedings of the National Academy of Sciences. 102(52). 18854–18859. 96 indexed citations
6.
7.
Chang, Shao-Chun, Philip Heacock, Eugenia Mileykovskaya, Dennis R. Voelker, & William Dowhan. (1998). Isolation and Characterization of the Gene (CLS1 ) Encoding Cardiolipin Synthase in Saccharomyces cerevisiae. Journal of Biological Chemistry. 273(24). 14933–14941. 175 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026