Stephen S. C. Chim

48 papers receiving 3.2k citations

Stephen S. C. Chim's Hit Papers

Detection and Characterization of Placental MicroRNAs in Maternal Plasma 2008 · 728 citations
7280+6+12Years since publication200400600

Peers

Stephen S. C. Chim
Comparison fields: 5 of 65
  • Pediatrics, Perinatology and Child Health 678
  • Cancer Research 375
  • Obstetrics and Gynecology 283
  • Infectious Diseases 436
  • Microbiology 88
Replace Deepak N. Modi with:
Deepak N. Modi India
Gaurav Bhatti United States
Marta Guindo-Martínez Spain
Jan-Steffen Krüssel Germany
Ronald McCarthy United States
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Marion Faigle Germany
Reinald Repp Germany
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Stephen S. C. Chim relative to Deepak N. Modi India Deepak N. Modi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen S. C. Chim

Since Specialization
Citations

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

Fields of papers citing papers by Stephen S. C. Chim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen S. C. 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 Stephen S. C. Chim Line = papers co-authored together Stephen S. C. 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 →
2008728
2 2006299
3 2005275
4 2003209
5 2004153
6 2019137
7 2003135
8 2006122
9 2007119
10 2008112
11 2004110
12 200676
13 200473
14 200762
15 200359
16 200352
17 201847
18 200539
19 200738
20 201237

About Stephen S. C. Chim

Stephen S. C. Chim is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases, Obstetrics and Gynecology, Molecular Biology and Reproductive Medicine, having authored 49 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Prenatal Screening and Diagnostics (7 papers), Preterm Birth and Chorioamnionitis (4 papers), Pregnancy and preeclampsia studies (3 papers), Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (2 papers), Endometriosis Research and Treatment (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (678 citations), Cancer Research (375 citations), Obstetrics and Gynecology (283 citations), Infectious Diseases (436 citations) and Microbiology (88 citations). Stephen S. C. Chim has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Rossa W. K. Chiu, Yuk Ming Dennis Lo, Tze Kin Lau, Emily C W Hung, Tse Ngong Leung, Chunming Ding, Stephen Kwok‐Wing Tsui, YM Dennis Lo, K.C. Allen Chan and Paul K.S. Chan. Their work appears in journals such as Clinical Chemistry, Journal of Cellular Biochemistry, New England Journal of Medicine, PLoS ONE and BMC Infectious Diseases.

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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