W.S. Sho Goh

2.2k citations
14 papers · 1.3k indexed · 2 hit papers · h-index 10
Topics
RNA modifications and cancer (8 papers)RNA Research and Splicing (5 papers)CRISPR and Genetic Engineering (4 papers)

In The Last Decade

W.S. Sho Goh

14 papers receiving 1.3k citations

Hit Papers

Identification of differential RNA modifications from nan...20212026202220242021202250100150

Peers

W.S. Sho Goh
Comparison fields: 5 of 87
  • Molecular Biology 1.1k
  • Cancer Research 368
  • Plant Science 219
  • Aging 190
  • Genetics 125
Replace Shouhong Guang with:
Shouhong Guang China
Anna-Lisa Doebley United States
Sam Guoping Gu United States
Eva‐Maria Weick United States
Masaomi Kato United States
Hila Gingold Israel
Aisa Sakaguchi Japan
Amy J. MacQueen United States
Anne Laurençon France
Christopher M. Hammell United States
W.S. Sho Goh relative to Shouhong Guang China Shouhong Guang's profile →
Citations per field
00.5×1.6×
Shouhong Guang · 1×
Citations per year

Countries citing papers authored by W.S. Sho Goh

Since Specialization
Citations

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

Fields of papers citing papers by W.S. Sho Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.S. Sho Goh. 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 W.S. Sho Goh. The network helps show where W.S. Sho Goh may publish in the future.

Co-authorship network of co-authors of W.S. Sho Goh

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 7
2 7
3 2
4
Detection of m6A from direct RNA sequencing using a multiple instance learning frameworkbreakdown →
144
5
Identification of differential RNA modifications from nanopore direct RNA sequencing with xPorebreakdown →
197
6 86
7 143
8 66
9 202
10 362
11 41
12 12
13 29
14 5

About W.S. Sho Goh

W.S. Sho Goh is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA Research and Splicing (5 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (190 citations), Cancer Research (368 citations) and Molecular Biology (1.1k citations). W.S. Sho Goh has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Yeek Teck Goh, Casslynn W.Q. Koh, Gregory J. Hannon, Sze Yen Kerk, Oliver Hobert, Oded Rechavi, Leah Houri-Zeevi, Sarit Anava, Christopher Hendra and Jonathan Göke. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.

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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