N.S. Pattison

27 papers receiving 683 citations

Peers

N.S. Pattison
Comparison fields: 5 of 66
  • Obstetrics and Gynecology 190
  • Rheumatology 173
  • Pediatrics, Perinatology and Child Health 142
  • Nephrology 50
  • Hematology 80
Replace Francesca Monari with:
Francesca Monari Italy
Leonardo Caforio Italy
M. Uzan France
John S. Sholl United States
Y Darbois France
Luuk J.J. Scheres Netherlands
W.Norman Thornton United States
A Fournié France
Uwe Hasbargen Germany
Avi Shina Israel
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Citations per year

Countries citing papers authored by N.S. Pattison

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Pattison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Pattison. 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 N.S. Pattison. The network helps show where N.S. Pattison may publish in the future.

Co-authors

The 25 scholars most cited alongside N.S. Pattison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N.S. Pattison Line = papers co-authored together N.S. Pattison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993151
2 2001128
3 199173
4 200259
5 200757
6 200324
7
Anticardiolipin antibodies: their presence as a marker for lupus anticoagulant in pregnancy.
198724
8 198621
9
An obstetric scoring system: its development and application in obstetric management.
199318
10 198517
11 199317
12 199515
13 198913
14 199413
15 199011
16 198411
17
Pregnancy in women with diabetes mellitus, twenty years experience: 1968-1987.
199010
18 199210
19 199610
20 199010

About N.S. Pattison

N.S. Pattison is a scholar working on Rheumatology, Nephrology, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 719 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Renal Diseases and Glomerulopathies (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hormonal Regulation and Hypertension (3 papers), Gestational Diabetes Research and Management (2 papers), Pregnancy and preeclampsia studies (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Obstetrics and Gynecology (190 citations), Rheumatology (173 citations), Pediatrics, Perinatology and Child Health (142 citations), Nephrology (50 citations) and Hematology (80 citations). N.S. Pattison has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include E.J. McKay, Larry Chamley, G. C. Liggins, H. S. LIDDELL, Alistair B. Roberts, Elizabeth Robinson, Kate Rees, Jan Pryor, P. Clark and Edwin A. Mitchell. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, Journal of Reproductive Immunology, Acta Paediatrica, BJOG An International Journal of Obstetrics & Gynaecology and Thrombosis Research.

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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