Sheng‐Tsung Chang

736 total citations
38 papers, 495 citations indexed

About

Sheng‐Tsung Chang is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Sheng‐Tsung Chang has authored 38 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pathology and Forensic Medicine, 22 papers in Oncology and 11 papers in Immunology. Recurrent topics in Sheng‐Tsung Chang's work include Lymphoma Diagnosis and Treatment (27 papers), Viral-associated cancers and disorders (18 papers) and T-cell and Retrovirus Studies (6 papers). Sheng‐Tsung Chang is often cited by papers focused on Lymphoma Diagnosis and Treatment (27 papers), Viral-associated cancers and disorders (18 papers) and T-cell and Retrovirus Studies (6 papers). Sheng‐Tsung Chang collaborates with scholars based in Taiwan, United Kingdom and Japan. Sheng‐Tsung Chang's co-authors include Shih‐Sung Chuang, Chin‐Li Lu, Shu‐Hui Lin, Hongxiang Liu, Pin‐Pen Hsieh, Chin‐Yang Li, Chia‐Yu Chang, Sheng-Hsien Chen, Chia-Chun Wu and Shang-Wen Chen and has published in prestigious journals such as The American Journal of Surgical Pathology, Medicine and Journal of Clinical Pathology.

In The Last Decade

Sheng‐Tsung Chang

36 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng‐Tsung Chang Taiwan 14 356 301 121 78 68 38 495
Gan‐di Li China 13 371 1.0× 342 1.1× 141 1.2× 67 0.9× 82 1.2× 65 641
Manuel F. Rosado United States 10 333 0.9× 249 0.8× 87 0.7× 97 1.2× 113 1.7× 14 491
F Loong China 11 386 1.1× 282 0.9× 154 1.3× 69 0.9× 55 0.8× 19 612
Xi-Wen Bi China 12 354 1.0× 397 1.3× 199 1.6× 63 0.8× 70 1.0× 24 577
Barbara Vannata Italy 12 347 1.0× 237 0.8× 93 0.8× 136 1.7× 60 0.9× 23 584
Francesca Montanari Italy 12 215 0.6× 217 0.7× 77 0.6× 70 0.9× 47 0.7× 57 407
Qun‐pei Yang China 12 580 1.6× 500 1.7× 201 1.7× 97 1.2× 116 1.7× 22 671
Thamathorn Assanasen Thailand 8 441 1.2× 248 0.8× 146 1.2× 86 1.1× 59 0.9× 16 550
Jean‐Marc Schiano de Colella France 13 263 0.7× 261 0.9× 194 1.6× 99 1.3× 134 2.0× 41 600
Zach Liu United States 10 263 0.7× 225 0.7× 64 0.5× 159 2.0× 37 0.5× 12 445

Countries citing papers authored by Sheng‐Tsung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Tsung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Tsung 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 Sheng‐Tsung Chang. The network helps show where Sheng‐Tsung Chang may publish in the future.

Co-authorship network of co-authors of Sheng‐Tsung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Tsung Chang. A scholar is included among the top collaborators of Sheng‐Tsung 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 Sheng‐Tsung Chang. Sheng‐Tsung 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.
2.
Chuang, Wen‐Yu, Hung Chang, Lee‐Yung Shih, et al.. (2024). Identification of CD5/SOX11 double-negative pleomorphic mantle cell lymphoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 485(2). 323–334. 1 indexed citations
3.
Liu, Chih‐Yi, Feng‐Jie Lai, Sheng‐Tsung Chang, & Shih‐Sung Chuang. (2021). Diagnostic clues for differentiating Merkel cell carcinoma from lymphoma in fine‐needle aspiration cytology. Diagnostic Cytopathology. 50(1). E23–E27. 3 indexed citations
4.
5.
Li, Hsin‐Ni, Ren‐Ching Wang, Junpeng Chen, Sheng‐Tsung Chang, & Shih‐Sung Chuang. (2020). Density and size of lymphoid follicles are useful clues in differentiating primary intestinal follicular lymphoma from intestinal reactive lymphoid hyperplasia. Diagnostic Pathology. 15(1). 82–82. 4 indexed citations
6.
Chuang, Wen‐Yu, Sheng‐Tsung Chang, Chang‐Tsu Yuan, et al.. (2019). Identification of CD5/Cyclin D1 Double-negative Pleomorphic Mantle Cell Lymphoma. The American Journal of Surgical Pathology. 44(2). 232–240. 5 indexed citations
7.
Chuang, Shih‐Sung, Shang-Wen Chen, Sheng‐Tsung Chang, & Yu‐Ting Kuo. (2016). Lymphoma in Taiwan: Review of 1347 neoplasms from a single institution according to the 2016 Revision of the World Health Organization Classification. Journal of the Formosan Medical Association. 116(8). 620–625. 24 indexed citations
8.
Clipson, Alexandra, et al.. (2015). Aggressive natural killer-cell neoplasm presenting in the marrow: a report of two cases including one with gains of chromosomes 4q and 9p. Diagnostic Pathology. 10(1). 88–88. 1 indexed citations
9.
Liang, Peir‐In, Sheng‐Tsung Chang, Ming‐Yen Lin, et al.. (2014). Angioimmunoblastic T-cell lymphoma in Taiwan shows a frequent gain of ITK gene.. PubMed. 7(9). 6097–107. 16 indexed citations
10.
Chang, Sheng‐Tsung, Shih‐Feng Weng, Pei‐Yi Chu, et al.. (2014). Extranodal natural killer/T-cell lymphoma, nasal type in Taiwan: a relatively higher frequency of T-cell lineage and poor survival for extranasal tumors. Human Pathology. 46(2). 313–321. 37 indexed citations
11.
Chang, Sheng‐Tsung, Yi‐Hsuan Lu, Chin‐Li Lu, et al.. (2013). Epstein–Barr virus is rarely associated with diffuse large B cell lymphoma in Taiwan and carries a trend for a shorter median survival time. Journal of Clinical Pathology. 67(4). 326–332. 25 indexed citations
12.
Colomo, Luís, Hongtao Ye, Hongxiang Liu, et al.. (2012). SOX11 is useful in differentiating cyclin D1‐positive diffuse large B‐cell lymphoma from mantle cell lymphoma. Histopathology. 61(4). 685–693. 35 indexed citations
13.
Chang, Sheng‐Tsung, et al.. (2012). Minimal Change Disease in a Patient with Neurofibromatosis Type I. 26(4). 232–234. 1 indexed citations
14.
15.
Chang, Sheng‐Tsung, et al.. (2010). Angioimmunoblastic T-cell Lymphoma of Cytotoxic T-cell Phenotype Containing a Large B-cell Proliferation With an Undersized B-cell Clonal Product. Applied immunohistochemistry & molecular morphology. 18(2). 185–189. 8 indexed citations
16.
Chuang, Shih‐Sung, Sheng‐Tsung Chang, Hongxiang Liu, et al.. (2007). Intramucosal follicular lymphoma in the terminal ileum with nodal involvement. Pathology - Research and Practice. 203(9). 691–694. 5 indexed citations
17.
Chang, Sheng‐Tsung, et al.. (2007). Plasmablastic Cytomorphologic Features in Plasma Cell Neoplasms in Immunocompetent Patients Are Significantly Associated With EBV. American Journal of Clinical Pathology. 128(2). 339–344. 48 indexed citations
18.
Chang, Sheng‐Tsung, et al.. (2007). Acute myelomonocytic leukemia with abnormal eosinophils: a case report with multi-modality diagnostic work-up.. PubMed. 29(5). 532–7. 2 indexed citations
19.
Chang, Sheng‐Tsung, Chin‐Li Lu, & Shih‐Sung Chuang. (2007). CD52 expression in non-mycotic T- and NK/T-cell lymphomas. Leukemia & lymphoma. 48(1). 117–121. 23 indexed citations
20.
Chang, Sheng‐Tsung & Shih‐Sung Chuang. (2003). Ectopic Cervical Thymoma: A Mimic of T-lymphoblastic Lymphoma. Pathology - Research and Practice. 199(9). 633–635. 19 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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