Mark Tein

3.5k citations
5 papers · 1.9k · 1 hit paper · h-index 5

Impact in

Papers in

Mark Tein

5 papers receiving 1.8k citations

Mark Tein's Hit Papers

Quantitative Analysis of Fetal DNA in Maternal Plasma and Serum: Implications for Noninvasive Prenatal Diagnosis 1998 · 1.3k citations
1.3k0+9+18Years since publication4008001.2k

Peers

Mark Tein
Comparison fields: 5 of 82
  • Pediatrics, Perinatology and Child Health 1.4k
  • Obstetrics and Gynecology 326
  • Infectious Diseases 527
  • Cancer Research 326
  • Hematology 131
Replace S Hahn with:
S Hahn Switzerland
Zhen Yan United States
Stanley S. Grant United States
T.H. Parmley United States
Clifford Librach Canada
Claire Bourgain Belgium
Cristina Arbona Spain
Alasdair McWhinnie United Kingdom
Joanne L. Rutgers United States
Kenneth Beaman United States
Mark Tein relative to S Hahn Switzerland S Hahn's profile →
Citations per field
00.5×2.6×
S Hahn · 1×
Citations per year

Countries citing papers authored by Mark Tein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Tein, 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 Mark Tein Line = papers co-authored together Mark Tein links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Quantitative Analysis of Fetal DNA in Maternal Plasma and Serum: Implications for Noninvasive Prenatal Diagnosis
Hit paper breakdown →
19981262
2 1999404
3
Quantitative analysis of aberrant p16 methylation using real-time quantitative methylation-specific polymerase chain reaction.
1999171
4 200017
5 199813

About Mark Tein

Mark Tein is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Pathology and Forensic Medicine, Obstetrics and Gynecology and Infectious Diseases, having authored 5 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vitamin D Research Studies (2 papers), Pregnancy and preeclampsia studies (2 papers), Prenatal Screening and Diagnostics (2 papers), Epigenetics and DNA Methylation (1 paper), Birth, Development, and Health (1 paper), Bone health and osteoporosis research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.4k citations), Obstetrics and Gynecology (326 citations), Infectious Diseases (527 citations), Cancer Research (326 citations) and Hematology (131 citations). Mark Tein has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Yuk Ming Dennis Lo, Tse Ngong Leung, Christopher J. Haines, Tze Kin Lau, N M Hjelm, James S. Wainscoat, Allan Chang, Philip E. Johnson, Priscilla M.K. Poon and Jun Zhang. Their work appears in journals such as The American Journal of Human Genetics, Journal of Endocrinology, Clinical Chemistry, Experimental Physiology and PubMed.

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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