Shu‐Wing Ng

2.9k citations
41 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
MicroRNA in disease regulation (8 papers)Ovarian cancer diagnosis and treatment (8 papers)Pregnancy and preeclampsia studies (6 papers)

In The Last Decade

Shu‐Wing Ng

40 papers receiving 2.1k citations

Hit Papers

Monoacylglycerol Lipase Regulates a Fatty Acid Network th...20092026201420202009250500750

Peers

Shu‐Wing Ng
Comparison fields: 5 of 99
  • Molecular Biology 1.1k
  • Cancer Research 698
  • Reproductive Medicine 415
  • Immunology 378
  • Obstetrics and Gynecology 330
Replace Tsuyoshi Ohta with:
Tsuyoshi Ohta Japan
Tsunekazu Kita Japan
Masami Kusaka Japan
Hanna Romanowicz Poland
Andelko Hrzenjak Austria
Suzanne E. Wardell United States
Junji Mitsushita Japan
Haifeng Zhang China
Oliver Treeck Germany
Yan Ding China
Shu‐Wing Ng relative to Tsuyoshi Ohta Japan Tsuyoshi Ohta's profile →
Citations per field
00.5×1.5×2.5×
Tsuyoshi Ohta · 1×
Citations per year

Countries citing papers authored by Shu‐Wing Ng

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Wing Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Wing Ng. 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 Shu‐Wing Ng. The network helps show where Shu‐Wing Ng may publish in the future.

Co-authorship network of co-authors of Shu‐Wing Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Wing Ng. A scholar is included among the top collaborators of Shu‐Wing Ng 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 Shu‐Wing Ng. Shu‐Wing Ng 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
#WorkIndexed citations
1 0
2 9
3 15
4 91
5 21
6 55
7 11
8 34
9 30
10 25
11 10
12 2
13 54
14 15
15 32
16 1
17 11
18 5
19 69
20 12

About Shu‐Wing Ng

Shu‐Wing Ng is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Pregnancy and preeclampsia studies (6 papers). The work is most often cited by research in Reproductive Medicine (415 citations), Cancer Research (698 citations) and Obstetrics and Gynecology (330 citations). Shu‐Wing Ng has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Daniel K. Nomura, Sherry Niessen, Benjamin F. Cravatt, Jonathan Z. Long, Heather Hoover, Errol R. Norwitz, Ross S. Berkowitz, Gabriella A. Norwitz, Mihaela Pavličev and Carlos Simón. Their work appears in journals such as Cell, Journal of Biological Chemistry 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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