P. Pürstner

856 citations
44 papers · 644 · h-index 15

Impact in

Papers in

P. Pürstner

41 papers receiving 606 citations

Peers

P. Pürstner
Comparison fields: 5 of 84
  • Obstetrics and Gynecology 224
  • Genetics 99
  • Endocrinology, Diabetes and Metabolism 136
  • Pediatrics, Perinatology and Child Health 103
  • Urology 33
Replace D. R. Cullen with:
D. R. Cullen United Kingdom
Prasoon Agarwal Sweden
Michał Pyźlak Poland
Roman Metzger Germany
Hiroaki Obata Japan
Banu Doğan Gün Türkiye
Maciej Jóźwik Poland
Jun Nyung Lee South Korea
Jie Min China
P. Pürstner relative to D. R. Cullen United Kingdom D. R. Cullen's profile →
Citations per field
00.5×4.1×
D. R. Cullen · 1×
Citations per year

Countries citing papers authored by P. Pürstner

Since Specialization
Citations

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

Fields of papers citing papers by P. Pürstner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Pürstner. 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 P. Pürstner. The network helps show where P. Pürstner may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Pürstner, 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 P. Pürstner Line = papers co-authored together P. Pürstner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007101
2 199856
3 199753
4
Activity of novel plant extracts against medullary thyroid carcinoma cells.
200439
5 199238
6
Amniotic fluid glucose values in normal and abnormal pregnancies.
198537
7 197831
8
Gestational diabetes and screening during pregnancy.
198426
9
Insulin levels in amniotic fluid of normal and abnormal pregnancies.
198426
10 198225
11 198721
12 198616
13 200016
14
Fetal insulin balance: gestational diabetes and postpartal screening.
198415
15 197814
16 199812
17 199612
18 199010
19
Prognostic significance of preoperative DNA flow cytometry in surgically-treated cervical cancer.
20038
20 19998

About P. Pürstner

P. Pürstner is a scholar working on Obstetrics and Gynecology, Oncology, Epidemiology, Surgery and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 644 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (10 papers), Pregnancy and preeclampsia studies (7 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (3 papers), Prenatal Screening and Diagnostics (3 papers), Birth, Development, and Health (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (224 citations), Genetics (99 citations), Endocrinology, Diabetes and Metabolism (136 citations), Pediatrics, Perinatology and Child Health (103 citations) and Urology (33 citations). P. Pürstner has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Petr Weiss, W. Lichtenegger, R. Winter, Josef Haas, Gerhard Lanzer, Katharina Schallmoser, Werner Linkesch, Franz Kainer, Eva Rohde and Christina Bartmann. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Archives of Gynecology and Obstetrics, Obstetrics and Gynecology, Life Sciences and Acta Cytologica.

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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