Emma Cook

2.5k citations
37 papers · 1.5k · 1 hit paper · h-index 17

Impact in

Papers in

Emma Cook

35 papers receiving 1.5k citations

Emma Cook's Hit Papers

Human placenta has no microbiome but can contain potential pathogens 2019 · 487 citations
4870+2+4Years since publication100200300400

Peers

Emma Cook
Comparison fields: 5 of 102
  • Obstetrics and Gynecology 596
  • Pediatrics, Perinatology and Child Health 391
  • Immunology 220
  • Microbiology 55
  • Reproductive Medicine 68
Replace Mercy PrabhuDas with:
Mercy PrabhuDas United States
Elizabeth A. Bonney United States
Deepti Goswami India
T’sang‐T’ang Hsieh Taiwan
Lynne Sykes United Kingdom
Stavroula Baka Greece
Maurizio M. Anceschi Italy
Drew W. Sadowsky United States
Shujuan Ma China
Leonardo Pereira United States
Emma Cook relative to Mercy PrabhuDas United States Mercy PrabhuDas's profile →
Citations per field
00.5×4.7×
Mercy PrabhuDas · 1×
Citations per year

Countries citing papers authored by Emma Cook

Since Specialization
Citations

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

Fields of papers citing papers by Emma Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human placenta has no microbiome but can contain potential pathogens
Hit paper breakdown →
2019487
2 2021129
3 2017103
4 202199
5 201897
6 202085
7 201860
8 200857
9 201147
10 200435
11 201934
12 202031
13 200930
14 201928
15 202219
16 199918
17 201317
18 202116
19 201915
20 202311

About Emma Cook

Emma Cook is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Cancer Research and Immunology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (14 papers), Reproductive System and Pregnancy (4 papers), Birth, Development, and Health (4 papers), Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Prenatal Screening and Diagnostics (3 papers), Gestational Diabetes Research and Management (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (596 citations), Pediatrics, Perinatology and Child Health (391 citations), Immunology (220 citations), Microbiology (55 citations) and Reproductive Medicine (68 citations). Emma Cook has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include D. Stephen Charnock‐Jones, Gordon C. S. Smith, Ulla Sovio, Francesca Gaccioli, Susanne Lager, Julian Parkhill, Sharon J. Peacock, Marcus C. de Goffau, Martin Hund and Sungsam Gong. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Hypertension, The Journal of Clinical Endocrinology & Metabolism, Placenta and Nature.

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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