CH Raynes‐Greenow

14 total papers · 459 total citations
9 papers, 319 citations indexed

About

CH Raynes‐Greenow is a scholar working on Obstetrics and Gynecology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, CH Raynes‐Greenow has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Obstetrics and Gynecology, 2 papers in Infectious Diseases and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in CH Raynes‐Greenow's work include Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (2 papers) and Gestational Diabetes Research and Management (2 papers). CH Raynes‐Greenow is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (2 papers) and Gestational Diabetes Research and Management (2 papers). CH Raynes‐Greenow collaborates with scholars based in Australia, United States and Canada. CH Raynes‐Greenow's co-authors include CL Roberts, Natasha Nassar, David Isaacs, Cheryl Jones, Jonathan Morris, Ruth M. Hadfield, Alexandra Barratt, Brian Peat, Samantha J. Lain and Ravisha Srinivasjois and has published in prestigious journals such as Clinical Infectious Diseases, American Journal of Epidemiology and Human Reproduction.

In The Last Decade

CH Raynes‐Greenow

9 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
CH Raynes‐Greenow 174 116 82 69 55 9 319
Cynthia Argani 138 0.8× 130 1.1× 58 0.7× 66 1.0× 15 0.3× 19 338
Joseph C. Scott 112 0.6× 71 0.6× 79 1.0× 65 0.9× 32 0.6× 14 342
Jaclyn Coletta 146 0.8× 203 1.8× 75 0.9× 41 0.6× 35 0.6× 13 335
Samsiya Ona 101 0.6× 65 0.6× 83 1.0× 56 0.8× 12 0.2× 17 329
Anju Shrestha 81 0.5× 43 0.4× 46 0.6× 75 1.1× 41 0.7× 15 229
Amanda Oliveira Lyrio 73 0.4× 75 0.6× 53 0.6× 22 0.3× 21 0.4× 17 355
Philip Cooper 105 0.6× 109 0.9× 88 1.1× 32 0.5× 17 0.3× 8 358
J G Halvorsen 73 0.4× 67 0.6× 122 1.5× 24 0.3× 28 0.5× 11 346
Mohamed Sabbour 234 1.3× 88 0.8× 108 1.3× 12 0.2× 24 0.4× 6 276
Uri Wiesenfeld 217 1.2× 110 0.9× 96 1.2× 17 0.2× 10 0.2× 13 259

Countries citing papers authored by CH Raynes‐Greenow

Since Specialization
Citations

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

Fields of papers citing papers by CH Raynes‐Greenow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by CH Raynes‐Greenow. 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 CH Raynes‐Greenow. The network helps show where CH Raynes‐Greenow may publish in the future.

Co-authorship network of co-authors of CH Raynes‐Greenow

This figure shows the co-authorship network connecting the top 25 collaborators of CH Raynes‐Greenow. A scholar is included among the top collaborators of CH Raynes‐Greenow 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 CH Raynes‐Greenow. CH Raynes‐Greenow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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