Gülsevin Tekinalp

1.7k citations
79 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Gülsevin Tekinalp

78 papers receiving 1.1k citations

Peers

Gülsevin Tekinalp
Comparison fields: 5 of 94
  • Pediatrics, Perinatology and Child Health 561
  • Genetics 157
  • Clinical Biochemistry 98
  • Pulmonary and Respiratory Medicine 408
  • Obstetrics and Gynecology 85
Replace Murat Yurdakök with:
Murat Yurdakök Türkiye
Nadja Haiden Austria
Nilgün Köksal Türkiye
Mehmet Yalaz Türkiye
A. Denizmen Aygün Türkiye
Metin Kaya Gürgöze Türkiye
O. Broberger Sweden
Sweta Shastri India
Murat Yurdakök Türkiye
Mete Akısü Türkiye
Gülsevin Tekinalp relative to Murat Yurdakök Türkiye Murat Yurdakök's profile →
Citations per field
00.5×1.5×
Murat Yurdakök · 1×
Citations per year

Countries citing papers authored by Gülsevin Tekinalp

Since Specialization
Citations

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

Fields of papers citing papers by Gülsevin Tekinalp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Procalcitonin versus CRP as an early indicator of fetal infection in preterm premature rupture of membranes.
201118
2 201140
3 20104
4 200990
5 200830
6 200843
7 200711
8 200623
9 20057
10 20046
11 200422
12 200420
13 200329
14 20024
15
Organization of neonatal intensive care units.
20001
16 19993
17 199930
18 19972
19 199632
20 198927

About Gülsevin Tekinalp

Gülsevin Tekinalp is a scholar working on Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Hematology and Pulmonary and Respiratory Medicine, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (17 papers), Neonatal Health and Biochemistry (14 papers), Metabolism and Genetic Disorders (13 papers), Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (6 papers), Infant Nutrition and Health (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (561 citations), Genetics (157 citations), Clinical Biochemistry (98 citations), Pulmonary and Respiratory Medicine (408 citations) and Obstetrics and Gynecology (85 citations). Gülsevin Tekinalp has collaborated with scholars based in Türkiye, United States and Russia. Frequent co-authors include Şule Yiğit, Murat Yurdakök, Ayşe Korkmaz, Murat Yurdakök, Gülşen Erdem, Muhittin A. Serdar, Fuat Emre Canpolat, Serdar Ümit Sarıcı, Aytemiz Gürgey and Gözde Girgin. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, The Journal of Pediatrics, PEDIATRICS, Pediatric Nephrology and Journal of Inherited Metabolic Disease.

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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