Jeffrey T. Chang

16.1k total citations · 2 hit papers
109 papers, 9.5k citations indexed

About

Jeffrey T. Chang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jeffrey T. Chang has authored 109 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 38 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Jeffrey T. Chang's work include Cancer Cells and Metastasis (20 papers), Bioinformatics and Genomic Networks (15 papers) and Cancer Genomics and Diagnostics (11 papers). Jeffrey T. Chang is often cited by papers focused on Cancer Cells and Metastasis (20 papers), Bioinformatics and Genomic Networks (15 papers) and Cancer Genomics and Diagnostics (11 papers). Jeffrey T. Chang collaborates with scholars based in United States, China and United Kingdom. Jeffrey T. Chang's co-authors include Brad Chapman, Joseph R. Nevins, Peter Cock, Frank Kauff, Bartek Wilczyński, Iddo Friedberg, Cymon J. Cox, Tiago Antão, Thomas Hamelryck and Michiel de Hoon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jeffrey T. Chang

102 papers receiving 9.3k citations

Hit Papers

Biopython: freely available Python tools for computationa... 2005 2026 2012 2019 2009 2005 1000 2.0k 3.0k

Peers

Jeffrey T. Chang
Comparison fields: 5 of 201
  • Molecular Biology 6.6k
  • Cancer Research 1.6k
  • Oncology 1.5k
  • Genetics 888
  • Pulmonary and Respiratory Medicine 657
Replace Eivind Hovig with:
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Dari Shalon United States
Yixue Li China
Miguel A. Andrade‐Navarro Germany
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Benjamin M. Bolstad United States
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Eivind Hovig Norway View profile →
Citations per field, relative to Jeffrey T. Chang
Jeffrey T. Chang · 1×
Citations per year, relative to Jeffrey T. Chang
Jeffrey T. Chang · 1×

Countries citing papers authored by Jeffrey T. Chang

Since Specialization
Citations

This map shows the geographic impact of Jeffrey 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 Jeffrey 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 Jeffrey T. Chang more than expected).

Fields of papers citing papers by Jeffrey T. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey T. Chang. A scholar is included among the top collaborators of Jeffrey 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 Jeffrey T. Chang. Jeffrey T. 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
# Work Indexed citations
1 0
2 4
3 4
4 2
5 59
6 8
7 5
8 11
9 20
10 41
11 67
12
Investigating the Arden hypothesis: a pilot investigation of the prevention of dark adaptation as complementary therapy for diabetic retinopathy and macular edema
0
13 37
14 125
15 220
16 133
17 96
18 48
19 56
20
Edinburgh-Stanford TREC-2003 Genomics Track.
4

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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