S Chim

3.9k citations
49 papers · 2.8k · 1 hit paper · h-index 24

Impact in

Papers in

S Chim

47 papers receiving 2.7k citations

S Chim's Hit Papers

Detection and Characterization of Placental MicroRNAs in Maternal Plasma 2008 · 723 citations
7230+6+12Years since publication200400600

Peers

S Chim
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 410
  • Pediatrics, Perinatology and Child Health 895
  • Cancer Research 684
  • Infectious Diseases 514
  • Molecular Biology 961
Replace Enders K. O. Ng with:
Enders K. O. Ng Hong Kong
Ilana Ariel Israel
Toshiyuki Takeshita Japan
A Yajima Japan
Gordon C. Douglas United States
Rudi Steffensen Denmark
Takeshi Nagamatsu Japan
Aaron Arvey United States
Qingliang Zheng China
J. Hürlimann Switzerland
S Chim relative to Enders K. O. Ng Hong Kong Enders K. O. Ng's profile →
Citations per field
00.5×1.5×2.1×
Enders K. O. Ng · 1×
Citations per year

Countries citing papers authored by S Chim

Since Specialization
Citations

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

Fields of papers citing papers by S Chim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection and Characterization of Placental MicroRNAs in Maternal Plasma
Hit paper breakdown →
2008723
2 2006288
3 2005273
4 2004150
5 2003126
6 2019124
7 2007119
8 2006110
9 2008108
10 200673
11 200468
12 200762
13 201150
14 201843
15 200340
16 200537
17 200737
18 201136
19 201234
20 200632

About S Chim

S Chim is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Infectious Diseases, Immunology and Epidemiology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Pregnancy and preeclampsia studies (4 papers), Reproductive System and Pregnancy (4 papers), COVID-19 Clinical Research Studies (4 papers), RNA modifications and cancer (4 papers), Preterm Birth and Chorioamnionitis (3 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (410 citations), Pediatrics, Perinatology and Child Health (895 citations), Cancer Research (684 citations), Infectious Diseases (514 citations) and Molecular Biology (961 citations). S Chim has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Rossa W. K. Chiu, Tze Kin Lau, Yuk Ming Dennis Lo, Emily C W Hung, Chunming Ding, Tse Ngong Leung, Tong Yu, YM Dennis Lo, Lisa Chan and Stephen Kwok‐Wing Tsui. Their work appears in journals such as Clinical Chemistry, Journal of Cellular Biochemistry, American Journal of Obstetrics and Gynecology, BMC Infectious Diseases and PLoS ONE.

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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