Matthew T. Chang

19.2k total citations · 2 hit papers
18 papers, 2.3k citations indexed

About

Matthew T. Chang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Matthew T. Chang has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Matthew T. Chang's work include Cancer Genomics and Diagnostics (8 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Melanoma and MAPK Pathways (2 papers). Matthew T. Chang is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Melanoma and MAPK Pathways (2 papers). Matthew T. Chang collaborates with scholars based in United States, France and Australia. Matthew T. Chang's co-authors include Barry S. Taylor, David B. Solit, Nikolaus Schultz, Alison M. Schram, Philip Jonsson, Alexander Drilon, Sizhi Paul Gao, Jianjiong Gao, Jocelyn Chapman and Nicholas D. Socci and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matthew T. Chang

17 papers receiving 2.3k citations

Hit Papers

Identifying recurrent mutations in cancer reveals widespr... 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers

Matthew T. Chang
Comparison fields: 5 of 86
  • Molecular Biology 1.4k
  • Cancer Research 862
  • Oncology 762
  • Pulmonary and Respiratory Medicine 571
  • Pathology and Forensic Medicine 400
Replace Diana Mandelker with:
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Citations per field, relative to Matthew T. Chang
Matthew T. Chang · 1×
Citations per year, relative to Matthew T. Chang
Matthew T. Chang · 1×

Countries citing papers authored by Matthew T. Chang

Since Specialization
Citations

This map shows the geographic impact of Matthew T. 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 Matthew T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Chang more than expected).

Fields of papers citing papers by Matthew T. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Chang

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 5
2 26
3 24
4 37
5 46
6 50
7 87
8
Genome doubling shapes the evolution and prognosis of advanced cancers breakdown →
343
9 59
10 349
11 140
12 226
13 214
14
Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity breakdown →
492
15 2
16 7
17 231
18 0

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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