Peruka Neumaier-Wagner

601 total citations
17 papers, 435 citations indexed

About

Peruka Neumaier-Wagner is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Peruka Neumaier-Wagner has authored 17 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Obstetrics and Gynecology, 9 papers in Pediatrics, Perinatology and Child Health and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Peruka Neumaier-Wagner's work include Pregnancy and preeclampsia studies (10 papers), Birth, Development, and Health (8 papers) and Gestational Diabetes Research and Management (7 papers). Peruka Neumaier-Wagner is often cited by papers focused on Pregnancy and preeclampsia studies (10 papers), Birth, Development, and Health (8 papers) and Gestational Diabetes Research and Management (7 papers). Peruka Neumaier-Wagner collaborates with scholars based in Germany, Switzerland and Australia. Peruka Neumaier-Wagner's co-authors include Werner Rath, Brigitte Leeners, Berthold Huppertz, Clemens Bartz, Gundula Hebisch, Ilana Chefetz, Hamutal Meiri, Renate Huch, Marei Sammar and Ruth Stiller and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Journal of Psychosomatic Research and Clinical Science.

In The Last Decade

Peruka Neumaier-Wagner

17 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peruka Neumaier-Wagner Germany 11 302 208 136 111 65 17 435
TG Teoh United Kingdom 4 333 1.1× 201 1.0× 194 1.4× 94 0.8× 106 1.6× 9 576
GA Dekker Australia 8 289 1.0× 241 1.2× 92 0.7× 53 0.5× 48 0.7× 11 354
Igor Hudić Bosnia and Herzegovina 12 184 0.6× 126 0.6× 197 1.4× 125 1.1× 64 1.0× 40 426
J Oleszczuk Poland 11 189 0.6× 181 0.9× 120 0.9× 156 1.4× 43 0.7× 51 391
Mara Sandra Hoshida Brazil 11 172 0.6× 111 0.5× 87 0.6× 143 1.3× 35 0.5× 32 398
Victoria Snegovskikh United States 13 199 0.7× 184 0.9× 163 1.2× 132 1.2× 169 2.6× 22 523
J.J.H.M. Erwich Netherlands 11 133 0.4× 176 0.8× 142 1.0× 59 0.5× 127 2.0× 19 469
T C Hulsey France 6 333 1.1× 245 1.2× 122 0.9× 122 1.1× 17 0.3× 7 428
Marzena Laskowska Poland 14 409 1.4× 305 1.5× 107 0.8× 142 1.3× 45 0.7× 60 567
M. Mazzocco Italy 10 165 0.5× 156 0.8× 61 0.4× 34 0.3× 49 0.8× 16 297

Countries citing papers authored by Peruka Neumaier-Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Peruka Neumaier-Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peruka Neumaier-Wagner. 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 Peruka Neumaier-Wagner. The network helps show where Peruka Neumaier-Wagner may publish in the future.

Co-authorship network of co-authors of Peruka Neumaier-Wagner

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

All Works

17 of 17 papers shown
1.
Leeners, Brigitte, et al.. (2011). Recurrence risks of hypertensive diseases in pregnancy after HELLP syndrome. Journal of Perinatal Medicine. 39(6). 673–8. 16 indexed citations
2.
Leeners, Brigitte, Peruka Neumaier-Wagner, Ruth Stiller, et al.. (2009). Motivation for motherhood in women with hypertensive diseases in pregnancy. Journal of Psychosomatic Obstetrics & Gynecology. 30(2). 133–140. 1 indexed citations
3.
Leeners, Brigitte, et al.. (2008). Psychosocial Distress Associated With Treatment of Hypertensive Diseases in Pregnancy. Psychosomatics. 49(5). 413–419. 14 indexed citations
4.
Huppertz, Berthold, Marei Sammar, Ilana Chefetz, et al.. (2008). Longitudinal Determination of Serum Placental Protein 13 during Development of Preeclampsia. Fetal Diagnosis and Therapy. 24(3). 230–236. 115 indexed citations
5.
Eggermann, Thomas, et al.. (2007). Neither maternal nor fetal mutation (E474Q) in the α-subunit of the trifunctional protein is frequent in pregnancies complicated by HELLP syndrome. Journal of Perinatal Medicine. 35(1). 76–8. 9 indexed citations
6.
Leeners, Brigitte, et al.. (2007). Emotional Stress and the Risk to Develop Hypertensive Diseases in Pregnancy. Hypertension in Pregnancy. 26(2). 211–226. 52 indexed citations
7.
Leeners, Brigitte, et al.. (2006). BMI: new aspects of a classical risk factor for hypertensive disorders in pregnancy. Clinical Science. 111(1). 81–86. 43 indexed citations
8.
Leeners, Brigitte, et al.. (2006). The significance of under- or overweight during childhood as a risk factor for hypertensive diseases in pregnancy. Early Human Development. 82(10). 663–668. 7 indexed citations
9.
Kadyrov, Mamed, et al.. (2006). Expression of the actin stress fiber-associated protein CLP36 in the human placenta. Histochemistry and Cell Biology. 126(4). 465–471. 10 indexed citations
10.
Leeners, Brigitte, et al.. (2006). Smoking and the risk of developing hypertensive diseases in pregnancy: what is the effect on HELLP syndrome?. Acta Obstetricia Et Gynecologica Scandinavica. 85(10). 1217–1224. 8 indexed citations
11.
Leeners, Brigitte, et al.. (2005). Satisfaction with medical information in women with hypertensive disorders in pregnancy. Journal of Psychosomatic Research. 60(1). 39–44. 22 indexed citations
12.
Neumaier-Wagner, Peruka, Mamed Kadyrov, Pankaj Goyal, et al.. (2005). Concerted Upregulation of CLP36 and Smooth Muscle Actin Protein Expression in Human Endometrium during Decidualization. Cells Tissues Organs. 179(3). 109–114. 17 indexed citations
13.
Leeners, Brigitte, et al.. (2005). Breast-feeding in women with hypertensive disorders in pregnancy. Journal of Perinatal Medicine. 33(6). 553–60. 31 indexed citations
14.
Huppertz, Berthold, Ilana Chefetz, Peruka Neumaier-Wagner, et al.. (2005). Longitudinal detection of PP13 levels in maternal serum to distinguish preeclampsia and preterm delivery from cervix insufficiency prior to onset of clinical symptoms. American Journal of Obstetrics and Gynecology. 193(6). S75–S75. 1 indexed citations
15.
Hebisch, Gundula, Peruka Neumaier-Wagner, Renate Huch, & Ursula von Mandach. (2004). Maternal serum interleukin-1β, -6 and -8 levels and potential determinants in pregnancy and peripartum. Journal of Perinatal Medicine. 32(6). 475–80. 45 indexed citations
16.
Hebisch, Gundula, A. Grauaug, Peruka Neumaier-Wagner, et al.. (2001). The relationship between cervical dilatation, interleukin‐6 and interleukin‐8 during term labor. Acta Obstetricia Et Gynecologica Scandinavica. 80(9). 840–848. 39 indexed citations
17.
Hebisch, Gundula, A. Grauaug, Peruka Neumaier-Wagner, et al.. (2001). The relationship between cervical dilatation, interleukin-6 and interleukin-8 during term labor. Acta Obstetricia Et Gynecologica Scandinavica. 80(9). 840–848. 5 indexed citations

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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