Xiao-Jia Chang

1.4k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Xiao-Jia Chang is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Xiao-Jia Chang has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Immunology. Recurrent topics in Xiao-Jia Chang's work include Metastasis and carcinoma case studies (2 papers), Protein Tyrosine Phosphatases (2 papers) and Cell Adhesion Molecules Research (2 papers). Xiao-Jia Chang is often cited by papers focused on Metastasis and carcinoma case studies (2 papers), Protein Tyrosine Phosphatases (2 papers) and Cell Adhesion Molecules Research (2 papers). Xiao-Jia Chang collaborates with scholars based in United States, Poland and Norway. Xiao-Jia Chang's co-authors include Dale A. Cumming, Gloria Vachino, Geertruida M. Veldman, Dianne Sako, Tim J. Ahern, Gray D. Shaw, K.M. Barone, Kevin M. Bean, Bruce Furie and G R Larsen and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Xiao-Jia Chang

10 papers receiving 1.2k citations

Hit Papers

Expression cloning of a functional glycoprotein ligand fo... 1993 2026 2004 2015 1993 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
Xiao-Jia Chang United States 7 680 556 371 264 144 10 1.2k
Kevin M. Bean United States 8 463 0.7× 486 0.9× 461 1.2× 115 0.4× 154 1.1× 8 1.1k
Nancy L. Stults United States 9 491 0.7× 525 0.9× 302 0.8× 145 0.5× 166 1.2× 11 926
Masako Izumi Japan 16 724 1.1× 437 0.8× 90 0.2× 213 0.8× 332 2.3× 23 1.3k
Craig T. Lefort United States 15 604 0.9× 544 1.0× 680 1.8× 195 0.7× 77 0.5× 31 1.3k
Beatrice Brunkhorst United States 16 488 0.7× 261 0.5× 256 0.7× 198 0.8× 44 0.3× 21 1.1k
A Aruffo United States 15 1.3k 1.9× 552 1.0× 1.3k 3.5× 228 0.9× 148 1.0× 18 2.6k
Jiunn‐Chern Yeh United States 18 1.1k 1.7× 320 0.6× 573 1.5× 317 1.2× 55 0.4× 21 1.6k
Daniel Rajotte United States 16 996 1.5× 176 0.3× 307 0.8× 91 0.3× 140 1.0× 19 1.5k
Roger Ferrini United States 14 841 1.2× 206 0.4× 1.0k 2.7× 228 0.9× 120 0.8× 21 1.9k
Kevin M. Gersten United States 5 867 1.3× 647 1.2× 654 1.8× 130 0.5× 92 0.6× 5 1.4k

Countries citing papers authored by Xiao-Jia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Jia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Jia Chang

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

All Works

10 of 10 papers shown
1.
Chang, Xiao-Jia, et al.. (2022). Ionospheric Anomaly and GNSS Positioning Responses to the January 2022 Tonga Volcanic Eruption. Proceedings of the Satellite Division's International Technical Meeting (Online). 1 indexed citations
2.
Shi, Lijun, et al.. (2018). Immunohistochemical detection of E7 human papillomavirus protein in pre‑malignant and malignant lesions of the uterine cervix. Molecular Medicine Reports. 18(4). 3949–3956. 4 indexed citations
3.
Chang, Xiao-Jia, Katarzyna Guzińska-Ustymowicz, Anna Pryczynicz, Joanna Kiśluk, & A Kemonä. (2011). PTP4A3 (PRL-3) expression correlate with lymphatic metastases in gastric cancer.. SHILAP Revista de lepidopterología. 2 indexed citations
4.
Pryczynicz, Anna, Katarzyna Guzińska-Ustymowicz, Xiao-Jia Chang, Joanna Kiśluk, & A Kemonä. (2011). PTP4A3 (PRL-3) expression correlate with lymphatic metastases in gastric cancer.. Folia Histochemica et Cytobiologica. 48(4). 632–6. 9 indexed citations
6.
Sullivan, Francis X., Ravindra Kumar, Ronald Kriz, et al.. (1998). Molecular Cloning of Human GDP-mannose 4,6-Dehydratase and Reconstitution of GDP-fucose Biosynthesis in Vitro. Journal of Biological Chemistry. 273(14). 8193–8202. 139 indexed citations
7.
Vachino, Gloria, Geertruida M. Veldman, Ravindra Kumar, et al.. (1995). P-selectin Glycoprotein Ligand-1 Is the Major Counter-receptor for P-selectin on Stimulated T Cells and Is Widely Distributed in Non-functional Form on Many Lymphocytic Cells. Journal of Biological Chemistry. 270(37). 21966–21974. 137 indexed citations
8.
Edwards, Kevin A., Xiao-Jia Chang, & Daniel P. Kiehart. (1995). Essential light chain of Drosophila nonmuscle myosin II. Journal of Muscle Research and Cell Motility. 16(5). 491–498. 17 indexed citations
9.
Sako, Dianne, Xiao-Jia Chang, K.M. Barone, et al.. (1993). Expression cloning of a functional glycoprotein ligand for P-selectin. Cell. 75(6). 1179–1186. 610 indexed citations breakdown →
10.
Karess, Roger E., et al.. (1991). The regulatory light chain of nonmuscle myosin is encoded by spaghetti-squash, a gene required for cytokinesis in Drosophila. Cell. 65(7). 1177–1189. 243 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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