Peter Dilba
Impact in
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Birth, Development, and Health
- Maternal and fetal healthcare
- Prenatal Screening and Diagnostics
Papers in
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- Pregnancy and preeclampsia studies 7
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- Birth, Development, and Health 6
- Co-authors
- Martin Hund (7 shared papers)Holger Stepan (7 shared papers)Deirdre Allegranza (6 shared papers)Maria Schoedl (6 shared papers)Manu Vatish (5 shared papers)Elisa Llurba (5 shared papers)Maria Sennström (5 shared papers)Frédéric Chantraine (5 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)International Journal of Cardiology (1 paper)BMC Pregnancy and Childbirth (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Peter Dilba
11 papers receiving 1.5k citations
Peter Dilba's Hit Papers
Peers
Comparison fields: 5 of 76
- Obstetrics and Gynecology 1.2k
- Pediatrics, Perinatology and Child Health 907
- Immunology 442
- Cardiology and Cardiovascular Medicine 216
- Cancer Research 110
Countries citing papers authored by Peter Dilba
This map shows the geographic impact of Peter Dilba'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 Peter Dilba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dilba more than expected).
Fields of papers citing papers by Peter Dilba
This network shows the impact of papers produced by Peter Dilba. 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 Peter Dilba. The network helps show where Peter Dilba may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dilba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Predictive Value of the sFlt-1:PlGF Ratio in Women with Suspected Preeclampsia Hit paper breakdown → | 2016 | 1114 |
| 2 | 2010 | 114 | |
| 3 | 2016 | 90 | |
| 4 | 2014 | 63 | |
| 5 | 2016 | 57 | |
| 6 | 2016 | 53 | |
| 7 | 2019 | 21 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2015 | 2 | |
| 11 | PREDICTION OF SHORT-TERM OUTCOME IN PREGNANT WOMEN WITH SUSPECTED PREECLAMPSIA: THE PROGNOSIS STUDY | 2014 | 2 |
About Peter Dilba
Peter Dilba is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Cardiology and Cardiovascular Medicine and Surgery, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (6 papers), Acute Myocardial Infarction Research (3 papers), Reproductive System and Pregnancy (3 papers), Coronary Interventions and Diagnostics (2 papers), Cardiac Imaging and Diagnostics (2 papers), Genetic factors in colorectal cancer (1 paper) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Pediatrics, Perinatology and Child Health (907 citations), Immunology (442 citations), Cardiology and Cardiovascular Medicine (216 citations) and Cancer Research (110 citations). Peter Dilba has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Martin Hund, Holger Stepan, Deirdre Allegranza, Maria Schoedl, Manu Vatish, Elisa Llurba, Maria Sennström, Frédéric Chantraine, Shaun P. Brennecke and Anne Cathrine Staff. Their work appears in journals such as Clinical Cancer Research, Clinical Chemistry and Laboratory Medicine (CCLM), International Journal of Cardiology, BMC Pregnancy and Childbirth and New England Journal of Medicine.
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.