Hypertension in Pregnancy

1.1k papers and 21.0k indexed citations i.

About

The 1.1k papers published in Hypertension in Pregnancy in the last decades have received a total of 21.0k indexed citations. Papers published in Hypertension in Pregnancy usually cover Obstetrics and Gynecology (1.0k papers), Pediatrics, Perinatology and Child Health (718 papers) and Cardiology and Cardiovascular Medicine (171 papers) specifically the topics of Pregnancy and preeclampsia studies (1.0k papers), Birth, Development, and Health (535 papers) and Gestational Diabetes Research and Management (225 papers). The most active scholars publishing in Hypertension in Pregnancy are Marshall D. Lindheimer, Mark Brown, Michael de Swiet, Jean‐Marie Moutquin, André Van Assche, James M. Roberts, Scott W. Walsh, Peter von Dadelszen, Laura A. Magee and Jagidesa Moodley.

In The Last Decade

Fields of papers published in Hypertension in Pregnancy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Hypertension in Pregnancy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Hypertension in Pregnancy.

Countries where authors publish in Hypertension in Pregnancy

Since Specialization
Citations

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

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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