William M. Hague

120 papers receiving 4.5k citations

Hit Papers

Metformin versus Insulin for the Treatment of Gestational...200820262014202020082023200400600

Peers

William M. Hague
Comparison fields: 5 of 120
  • Obstetrics and Gynecology 2.8k
  • Pediatrics, Perinatology and Child Health 1.4k
  • Surgery 1.3k
  • Public Health, Environmental and Occupational Health 914
  • Endocrinology, Diabetes and Metabolism 697
Replace Eyal Schiff with:
Eyal Schiff Israel
Michael J. Kupferminc Israel
Évelyne Rey Canada
Geneviève Plu‐Bureau France
Luann Sieve-Smith United States
Gus Dekker Australia
Wee‐Shian Chan Canada
Margareta Hellgren Sweden
Göran Rybo Sweden
Hector Tamez United States
William M. Hague relative to Eyal Schiff Israel Eyal Schiff's profile →
Citations per field
00.5×9.2×
Eyal Schiff · 1×
Citations per year

Countries citing papers authored by William M. Hague

Since Specialization
Citations

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

Fields of papers citing papers by William M. Hague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Hague. 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 William M. Hague. The network helps show where William M. Hague may publish in the future.

Co-authorship network of co-authors of William M. Hague

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 6
3 3
4 9
5 2
6 4
7 10
8 185
9 68
10 1
11
Fractionated Heparin in Pregnant Women with a History of Uteroplacental Insufficiency and Thrombophilia, a Randomized Trial (The FRUIT Study)
1
12 44
13
A Pervasive Technology Solution for Diabetes Using Gestational Diabetes as a Model
2
14 65
15 28
16
A new HPLC method for analysis of metformin in cord plasma - application to placental transfer studies
1
17
Hypertension in pregnancy : round-table discussion : part 2 : cardiovascular profile
1
18 94
19 9
20
Psychosocial aspects of care in the chronic obstructive pulmonary disease patient.
34

About William M. Hague

William M. Hague is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (49 papers), Gestational Diabetes Research and Management (46 papers) and Birth, Development, and Health (18 papers). The work is most often cited by research in Obstetrics and Gynecology (2.8k citations), Reproductive Medicine (662 citations) and Pediatrics, Perinatology and Child Health (1.4k citations). William M. Hague has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Janet Rowan, Malcolm Battin, Wanzhen Gao, M. Peter Moore, Elaine Rush, Robert J. Norman, Gustaaf Dekker, Victor Obolonkin, Stacey Masters and Suzette Coat. Their work appears in journals such as New England Journal of Medicine, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

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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