JT Chang

1.1k citations
5 papers · 689 indexed · 1 hit paper · h-index 2
Topics
Cancer Genomics and Diagnostics (1 paper)Stroke Rehabilitation and Recovery (1 paper)Bioinformatics and Genomic Networks (1 paper)
Partner nations
United StatesNetherlands

In The Last Decade

JT Chang

4 papers receiving 688 citations

Hit Papers

High tumor mutation burden fails to predict immune checkp...20212026202220242021200400600

Peers

JT Chang
Comparison fields: 5 of 61
  • Oncology 497
  • Pulmonary and Respiratory Medicine 281
  • Cancer Research 215
  • Immunology 193
  • Molecular Biology 152
Replace JK Litton with:
JK Litton United States
Michele Prisciandaro Italy
Hao-Ran Zhai China
Jiemin Zhao China
Andy Karabajakian France
Zhuoran Yao China
Elizabeth Gilbert United States
Todd Maney United States
Daniel Carvajal United States
Mohamed Alshabanah Saudi Arabia
JT Chang relative to JK Litton United States JK Litton's profile →
Citations per field
00.5×1.5×
JK Litton · 1×
Citations per year

Countries citing papers authored by JT Chang

Since Specialization
Citations

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

Fields of papers citing papers by JT Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JT Chang

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2
High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer typesbreakdown →
672
3 1
4 1
5
Interventions for the prevention of falls in older adults: A meta-analysis of randomized clinical trials
15

About JT Chang

JT Chang is a scholar working on Otorhinolaryngology, Rehabilitation and Cancer Research, having authored 5 papers that have together received 689 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (1 paper), Stroke Rehabilitation and Recovery (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Oncology (497 citations), Cancer Research (215 citations) and Immunology (193 citations). JT Chang has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Eric Jonasch, Leonie Voorwerk, Mustafa Khasraw, Daniel J. McGrail, Bora Lim, Naoto T. Ueno, JK Litton, Maarten Slagter, Renata Ferrarotto and SL Moulder. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and Artificial Intelligence Review.

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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