Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Maternal and perinatal outcomes of pregnant women with SARS-CoV-2 infection at the time of birth in England: national cohort study
2021187 citationsIpek Gurol‐Urganci, Jennifer Jardine et al.American Journal of Obstetrics and Gynecologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tina Harris'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 Tina Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Harris more than expected).
This network shows the impact of papers produced by Tina Harris. 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 Tina Harris. The network helps show where Tina Harris may publish in the future.
Co-authorship network of co-authors of Tina Harris
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Harris.
A scholar is included among the top collaborators of Tina Harris 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 Tina Harris. Tina Harris is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Relph, Sophie, Fran Carroll, Ipek Gurol‐Urganci, et al.. (2021). NHS Maternity Care for Women with a Body Mass Index of 30 kg/m2 or Above: Births between 1 April 2015 and 31 March 2017 in England, Wales and Scotland.. DMU Open Research Archive (De Montfort University).10 indexed citations
Gurol‐Urganci, Ipek, Jennifer Jardine, Fran Carroll, et al.. (2021). Maternal and perinatal outcomes of pregnant women with SARS-CoV-2 infection at the time of birth in England: national cohort study. American Journal of Obstetrics and Gynecology. 225(5). 522.e1–522.e11.187 indexed citations breakdown →
11.
Relph, Sophie, Ipek Gurol‐Urganci, George A. Dunn, et al.. (2020). NHS Maternity Care for Women with Multiple Births and Their Babies A study on feasibility of assessing care using data from births between 1 April 2015 and 31 March 2017 in England, Wales and Scotland.. DMU Open Research Archive (De Montfort University).1 indexed citations
Jardine, Jennifer, Fran Carroll, Ipek Gurol‐Urganci, et al.. (2019). Maternity admissions to intensive care in England, Wales and Scotland in 2015/16: A report from the National Maternity and Perinatal Audit.. DMU Open Research Archive (De Montfort University).12 indexed citations
14.
Carroll, Fran, David M. Cromwell, Ipek Gurol‐Urganci, et al.. (2019). Technical Report: linking the National Maternity and Perinatal Audit Data Set to the National Neonatal Research Database for 2015/16. DMU Open Research Archive (De Montfort University).1 indexed citations
15.
Carroll, Fran, Ipek Gurol‐Urganci, Tina Harris, et al.. (2019). National Maternity and Perinatal Audit: Clinical report 2019. Based on births in NHS maternity services between 1 April 2016 and 31 March 2017. DMU Open Research Archive (De Montfort University).19 indexed citations
16.
Cromwell, David M., Ipek Gurol‐Urganci, Jane Hawdon, et al.. (2017). National Maternity and Perinatal Audit: Organisational Report 2017. DMU Open Research Archive (De Montfort University).12 indexed citations
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.