Marion S. Verp

2.1k citations
51 papers · 1.4k indexed · h-index 19
Topics
Prenatal Screening and Diagnostics (25 papers)Assisted Reproductive Technology and Twin Pregnancy (10 papers)Genomic variations and chromosomal abnormalities (6 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Marion S. Verp

50 papers receiving 1.3k citations

Peers

Marion S. Verp
Comparison fields: 5 of 94
  • Genetics 539
  • Molecular Biology 478
  • Pediatrics, Perinatology and Child Health 454
  • Reproductive Medicine 248
  • Immunology 226
Replace A.J. Rutherford with:
A.J. Rutherford United Kingdom
Laurence E. Karp United States
W. Allen Hogge United States
Nobuhiro Suzumori Japan
Madoka Furuhashi Japan
Lena Sagi‐Dain Israel
Kazuhiko Okuyama Japan
Giuseppe Simoni Italy
Lauren Lynch United States
Semra Kahraman Türkiye
Marion S. Verp relative to A.J. Rutherford United Kingdom A.J. Rutherford's profile →
Citations per field
00.5×1.5×2.3×
A.J. Rutherford · 1×
Citations per year

Countries citing papers authored by Marion S. Verp

Since Specialization
Citations

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

Fields of papers citing papers by Marion S. Verp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion S. Verp

This figure shows the co-authorship network connecting the top 25 collaborators of Marion S. Verp. A scholar is included among the top collaborators of Marion S. Verp 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 Marion S. Verp. Marion S. Verp 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 76
3 39
4 6
5 32
6 4
7 144
8 55
9 7
10 55
11 15
12 14
13 9
14 32
15 52
16 33
17 3
18 16
19 26
20 12

About Marion S. Verp

Marion S. Verp is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Urology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (25 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Reproductive Medicine (248 citations), Pediatrics, Perinatology and Child Health (454 citations) and Genetics (539 citations). Marion S. Verp has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Joe Leigh Simpson, Paul S. Heckerling, Carole Ober, Carrie Aldrich, Mary Ann Walker, Nicholas O. Davidson, Sherman Elias, Bo Teng, Joshua A. Salomon and Barbara K. Burton. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer.

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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