Chung-Che Chang

1.4k citations
51 papers · 1.0k · h-index 19

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Polyomavirus and related diseases
    • Viral-associated cancers and disorders
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Chung-Che Chang

49 papers receiving 1.0k citations

Peers

Chung-Che Chang
Comparison fields: 5 of 75
  • Oncology 469
  • Genetics 146
  • Pathology and Forensic Medicine 191
  • Hematology 122
  • Transplantation 28
Replace Dominic Borie with:
Dominic Borie United States
Joon Seong Park South Korea
Miwako Narita Japan
Maike Büttner Germany
Tiago R. Matos United States
Marion Baudard France
Ingrid A. M. Derks Netherlands
Yuki Kagoya Japan
Stephen J. Elliman Ireland
Chung-Che Chang relative to Dominic Borie United States Dominic Borie's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Chung-Che Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Che Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chung-Che Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chung-Che Chang Line = papers co-authored together Chung-Che Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007213
2 2001107
3 201795
4 200940
5 201238
6 200736
7 200935
8 200932
9 200328
10 200627
11 200427
12 200927
13 200926
14 200626
15 201325
16 200522
17 200620
18 202018
19 200618
20 201217

About Chung-Che Chang

Chung-Che Chang is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Immunology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (7 papers), Eosinophilic Disorders and Syndromes (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Histiocytic Disorders and Treatments (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Oncology (469 citations), Genetics (146 citations), Pathology and Forensic Medicine (191 citations), Hematology (122 citations) and Transplantation (28 citations). Chung-Che Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jianguo Wen, Patricia Chévez‐Barrios, Kirtee Raparia, Tarek Mekhail, Jian Guan, Arsalan Ahmed, Yongdong Feng, Youli Zu, Sundaram Hariharan and Barbara A. Bresnahan. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology, Blood, BMC Bioinformatics and Journal of Clinical Oncology.

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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