Tea Kaartokallio

474 total citations
8 papers, 209 citations indexed

About

Tea Kaartokallio is a scholar working on Obstetrics and Gynecology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tea Kaartokallio has authored 8 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Obstetrics and Gynecology, 4 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tea Kaartokallio's work include Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (3 papers) and Gestational Diabetes Research and Management (3 papers). Tea Kaartokallio is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (3 papers) and Gestational Diabetes Research and Management (3 papers). Tea Kaartokallio collaborates with scholars based in Finland, Sweden and United Kingdom. Tea Kaartokallio's co-authors include Hannele Laivuori, Juha Kere, Katja Kivinen, Anneli Pouta, Seppo Heinonen, Eero Kajantie, Miira M. Klemetti, Päivi Lakkisto, Alejandra Cervera and Paul Gerdhem and has published in prestigious journals such as Scientific Reports, Hypertension and Frontiers in Immunology.

In The Last Decade

Tea Kaartokallio

8 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tea Kaartokallio Finland	7	149	97	59	51	43	8	209
Pooneh Nikuei Iran	7	103 0.7×	79 0.8×	35 0.6×	44 0.9×	21 0.5×	16	162
Regan L. Scott United States	9	201 1.3×	146 1.5×	100 1.7×	118 2.3×	33 0.8×	15	322
Manni Sun China	11	199 1.3×	109 1.1×	150 2.5×	74 1.5×	149 3.5×	14	326
S. Szabo Hungary	5	113 0.8×	69 0.7×	25 0.4×	63 1.2×	19 0.4×	9	173
Lenka Dvořáková Czechia	11	225 1.5×	106 1.1×	113 1.9×	77 1.5×	113 2.6×	17	327
Jianxia Fan China	8	73 0.5×	37 0.4×	70 1.2×	77 1.5×	24 0.6×	17	195
Iris Scheffen Germany	4	136 0.9×	108 1.1×	45 0.8×	20 0.4×	13 0.3×	8	188
Bryan Marsh United States	6	84 0.6×	54 0.6×	126 2.1×	53 1.0×	31 0.7×	6	236
Violeta Stojanovska Germany	8	181 1.2×	157 1.6×	34 0.6×	56 1.1×	12 0.3×	19	247
Matthew Sagnelli China	10	93 0.6×	131 1.4×	87 1.5×	22 0.4×	64 1.5×	15	271

Countries citing papers authored by Tea Kaartokallio

Since Specialization

Citations

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

Fields of papers citing papers by Tea Kaartokallio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Kaartokallio

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

All Works

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8 of 8 papers shown

1.

Kaartokallio, Tea, Miira M. Klemetti, Jussi Paananen, et al.. (2017). Fetal Microsatellite in the Heme Oxygenase 1 Promoter Is Associated With Severe and Early-Onset Preeclampsia. Hypertension. 71(1). 95–102. 18 indexed citations

2.

Lokki, A. Inkeri, Tea Kaartokallio, Ville Holmberg, et al.. (2017). Analysis of Complement C3 Gene Reveals Susceptibility to Severe Preeclampsia. Frontiers in Immunology. 8. 589–589. 41 indexed citations

3.

Kaartokallio, Tea, Miira M. Klemetti, Seppo Heinonen, et al.. (2016). An RGS2 3′UTR polymorphism is associated with preeclampsia in overweight women. BMC Genetics. 17(1). 121–121. 14 indexed citations

4.

Skoog, Tiina, Elísabet Einarsdóttir, Tea Kaartokallio, et al.. (2016). Investigation of rare and low-frequency variants using high-throughput sequencing with pooled DNA samples. Scientific Reports. 6(1). 33256–33256. 13 indexed citations

5.

Kaartokallio, Tea, A. Inkeri Lokki, Katja Kivinen, et al.. (2016). Preeclampsia does not share common risk alleles in 9p21 with coronary artery disease and type 2 diabetes. Annals of Medicine. 48(5). 330–336. 3 indexed citations

6.

Kaartokallio, Tea, Seppo Heinonen, Eero Kajantie, et al.. (2016). Exome sequencing in pooled DNA samples to identify maternal pre-eclampsia risk variants. Scientific Reports. 6(1). 29085–29085. 14 indexed citations

7.

Kaartokallio, Tea, Alejandra Cervera, Hannele Laivuori, et al.. (2015). Gene expression profiling of pre-eclamptic placentae by RNA sequencing. Scientific Reports. 5(1). 14107–14107. 69 indexed citations

8.

Kaartokallio, Tea, Miira M. Klemetti, Jukka Uotila, et al.. (2014). Microsatellite Polymorphism in the Heme Oxygenase-1 Promoter Is Associated With Nonsevere and Late-Onset Preeclampsia. Hypertension. 64(1). 172–177. 37 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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