Sandy Chang

15.3k citations
88 papers · 11.3k indexed · 4 hit papers · h-index 46
  • Aging top 0.1%
    • Genetics, Aging, and Longevity in Model Organisms 6
  • Physiology top 0.2%
    • Telomeres, Telomerase, and Senescence 64
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 15
    • DNA Repair Mechanisms 47
    • CRISPR and Genetic Engineering 16
    • Genomics and Chromatin Dynamics 8
    • Mitochondrial Function and Pathology 7
    • Cancer Research and Treatments 11

Sandy Chang

86 papers receiving 11.1k citations

Hit Papers

Trp53R172H and KrasG12D cooperate to promote chromosomal ...1.8k199920262008201750010001.5k

Peers

Sandy Chang
Comparison fields: 5 of 139
  • Aging 964
  • Physiology 4.9k
  • Oncology 3.2k
  • Molecular Biology 7.6k
  • Cancer Research 1.4k
Replace Agata Smogorzewska with:
Agata Smogorzewska United States
James W. Horner United States
Manuel Collado Spain
Daniel S. Peeper Netherlands
Mila E. McCurrach United States
Jan Karlseder United States
Elinor Ng Eaton United States
Calvin D. Roskelley Canada
Walter D. Funk United States
Scott L. Weinrich United States
Sandy Chang relative to Agata Smogorzewska United States Agata Smogorzewska's profile →
Citations per field
00.5×1.5×
Agata Smogorzewska · 1×
Citations per year

Countries citing papers authored by Sandy Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sandy Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sandy 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 Sandy Chang Line = papers co-authored together Sandy Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202127
2 201911
3 20153
4 201358
5 201224
6 2010111
7 201098
8 201019
9 200825
10 2008269
11 200761
12 2007156
13 2007197
14 20063
15 200526
16 2004117
17 2002182
18 200194
19 199824
20 199074

About Sandy Chang

Sandy Chang is a scholar working on Aging, Physiology and Biotechnology, having authored 88 papers that have together received 11.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (64 papers), DNA Repair Mechanisms (47 papers), CRISPR and Genetic Engineering (16 papers), Cancer-related Molecular Pathways (15 papers), Cancer Research and Treatments (11 papers), Genomics and Chromatin Dynamics (8 papers), Mitochondrial Function and Pathology (7 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Aging (964 citations), Physiology (4.9k citations) and Oncology (3.2k citations). Sandy Chang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ronald A. DePinho, Asha S. Multani, Geoffrey J. Gottlieb, Yibin Deng, K. Lenhard Rudolph, Lifu Wang, Sunil R. Hingorani, David A. Tuveson, Ralph H. Hruban and Anil K. Rustgi. Their work appears in journals such as Nature Communications, Nature, The EMBO Journal, Cancer Cell and Aging Cell.

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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