Şeyma Yaşar

75 total papers · 432 total citations
42 papers, 254 citations indexed

About

Şeyma Yaşar is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Şeyma Yaşar has authored 42 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 8 papers in Pediatrics, Perinatology and Child Health and 7 papers in Molecular Biology. Recurrent topics in Şeyma Yaşar's work include Pregnancy and preeclampsia studies (8 papers), AI in cancer detection (5 papers) and Machine Learning in Bioinformatics (4 papers). Şeyma Yaşar is often cited by papers focused on Pregnancy and preeclampsia studies (8 papers), AI in cancer detection (5 papers) and Machine Learning in Bioinformatics (4 papers). Şeyma Yaşar collaborates with scholars based in Türkiye, Norway and Canada. Şeyma Yaşar's co-authors include Cemil Çolak, Saim Yoloğlu, Ahmet Kadir Arslan, Rauf Melekoğlu, Fatma Hilal Yağın, Luca Paolo Ardigò, Yasin Görmez, Ercan Yılmaz, Abedalrhman Alkhateeb and Halis Özdemir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Life Sciences.

In The Last Decade

Şeyma Yaşar

35 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Şeyma Yaşar	50	46	45	45	31	42	254
Stéren Chabert	33 0.7×	104 2.3×	53 1.2×	12 0.3×	45 1.5×	38	321
Yimin Qu	74 1.5×	64 1.4×	34 0.8×	8 0.2×	32 1.0×	39	328
Alexis Mitelpunkt	32 0.6×	16 0.3×	9 0.2×	37 0.8×	67 2.2×	30	321
Gizeaddis Lamesgin Simegn	86 1.7×	80 1.7×	7 0.2×	15 0.3×	17 0.5×	33	307
Manan Shah	26 0.5×	64 1.4×	6 0.1×	21 0.5×	4 0.1×	27	213
Khalaf Alshamrani	70 1.4×	115 2.5×	3 0.1×	50 1.1×	11 0.4×	22	273
Taesic Lee	25 0.5×	10 0.2×	18 0.4×	26 0.6×	10 0.3×	39	281
Radiyati Umi Partan	31 0.6×	46 1.0×	3 0.1×	10 0.2×	32 1.0×	36	325
Gareth Kitchen	76 1.5×	27 0.6×	4 0.1×	8 0.2×	7 0.2×	21	324
Pranjal Agrawal	21 0.4×	15 0.3×	11 0.2×	53 1.2×	18 0.6×	36	330

Countries citing papers authored by Şeyma Yaşar

Since Specialization

Citations

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

Fields of papers citing papers by Şeyma Yaşar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Şeyma Yaşar

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

All Works

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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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