Susan C. Wu

5.8k citations
11 papers · 4.4k indexed · 3 hit papers · h-index 10
Topics
Epigenetics and DNA Methylation (5 papers)Genomics and Chromatin Dynamics (4 papers)RNA modifications and cancer (3 papers)
Partner nations
United StatesJapan

In The Last Decade

Susan C. Wu

11 papers receiving 4.4k citations

Hit Papers

Tet Proteins Can Convert 5-Methylcytosine to 5-Formylcyto...200520262012201920112010200550010001.5k2.0k2.5k

Peers

Susan C. Wu
Comparison fields: 5 of 129
  • Molecular Biology 3.5k
  • Genetics 660
  • Endocrine and Autonomic Systems 518
  • Cancer Research 446
  • Pediatrics, Perinatology and Child Health 290
Replace Debabrata Chakravarti with:
Debabrata Chakravarti United States
Sam John United States
Paul K. Brindle United States
Stefan U. Kass United States
Sang‐Beom Seo South Korea
Heidi G. Sutherland Australia
Yijing Su United States
Walter W. Chen United States
Christian Becker Germany
Xuekun Li China
Susan C. Wu relative to Debabrata Chakravarti United States Debabrata Chakravarti's profile →
Citations per field
00.5×3.9×
Debabrata Chakravarti · 1×
Citations per year

Countries citing papers authored by Susan C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Susan C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan C. Wu. 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 Susan C. Wu. The network helps show where Susan C. Wu may publish in the future.

Co-authorship network of co-authors of Susan C. Wu

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Tet Proteins Can Convert 5-Methylcytosine to 5-Formylcytosine and 5-Carboxylcytosinebreakdown →
2619
2 109
3 105
4
Active DNA demethylation: many roads lead to Romebreakdown →
827
5 5
6 37
7 38
8
Functional consequences of a CKIδ mutation causing familial advanced sleep phase syndromebreakdown →
593
9 9
10 49
11 52

About Susan C. Wu

Susan C. Wu is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 11 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (518 citations), Aging (105 citations) and Molecular Biology (3.5k citations). Susan C. Wu has collaborated with scholars based in United States and Japan. Frequent co-authors include Yi Zhang, Qing Dai, Chuan He, Shinsuke Ito, James A. Swenberg, Li Shen, Leonard B. Collins, Louis J. Ptáček, Ying Xu and Robert E. Shapiro. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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