Paul D Sutton

17 total papers · 2.7k total citations
16 papers, 2.1k citations indexed

About

Paul D Sutton is a scholar working on Pediatrics, Perinatology and Child Health, Oncology and Demography. According to data from OpenAlex, Paul D Sutton has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 4 papers in Oncology and 3 papers in Demography. Recurrent topics in Paul D Sutton's work include Assisted Reproductive Technology and Twin Pregnancy (6 papers), COVID-19 and healthcare impacts (4 papers) and Global Maternal and Child Health (4 papers). Paul D Sutton is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (6 papers), COVID-19 and healthcare impacts (4 papers) and Global Maternal and Child Health (4 papers). Paul D Sutton collaborates with scholars based in United States, Denmark and Mexico. Paul D Sutton's co-authors include Joyce A Martin, Stephanie J. Ventura, Brady E Hamilton, Fay Menacker, Sharon Kirmeyer, Michelle J K Osterman, T J Mathews, Bernard Guyer, Donna M. Strobino and Jiaquan Xu and has published in prestigious journals such as PEDIATRICS, Scientific Reports and American Journal of Public Health.

In The Last Decade

Paul D Sutton

16 papers receiving 2.0k citations

Hit Papers

Births: final data for 2005. 2007 2026 2013 2019 2007 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Paul D Sutton 1.0k 665 549 434 305 16 2.1k
Matthews Tg 844 0.8× 606 0.9× 527 1.0× 270 0.6× 207 0.7× 23 1.8k
Sharon Kirmeyer 1.4k 1.4× 1.0k 1.5× 701 1.3× 417 1.0× 351 1.2× 18 2.6k
Christine Newburn‐Cook 1.1k 1.0× 591 0.9× 434 0.8× 212 0.5× 142 0.5× 47 2.1k
Janet Tucker 805 0.8× 376 0.6× 280 0.5× 330 0.8× 563 1.8× 41 2.0k
Cynthia Ferré 1.9k 1.8× 817 1.2× 715 1.3× 225 0.5× 198 0.6× 44 2.6k
S M Taffel 1.0k 1.0× 1.2k 1.9× 499 0.9× 204 0.5× 128 0.4× 46 2.3k
Michelle Pearl 993 1.0× 544 0.8× 487 0.9× 446 1.0× 453 1.5× 62 3.1k
Beverley O’Brien 484 0.5× 428 0.6× 743 1.4× 326 0.8× 261 0.9× 54 2.1k
B Haglund 810 0.8× 483 0.7× 464 0.8× 222 0.5× 216 0.7× 37 2.4k
Joanne Mor 1.7k 1.6× 1.2k 1.8× 452 0.8× 480 1.1× 565 1.9× 29 2.8k

Countries citing papers authored by Paul D Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Paul D Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D Sutton. 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 Paul D Sutton. The network helps show where Paul D Sutton may publish in the future.

Co-authorship network of co-authors of Paul D Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D Sutton. A scholar is included among the top collaborators of Paul D Sutton 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 Paul D Sutton. Paul D Sutton 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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