Raili Seppälä

20 total papers · 806 total citations
17 papers, 643 citations indexed

About

Raili Seppälä is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Raili Seppälä has authored 17 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pediatrics, Perinatology and Child Health and 7 papers in Physiology. Recurrent topics in Raili Seppälä's work include Neonatal Health and Biochemistry (8 papers), Biomedical Research and Pathophysiology (5 papers) and Signaling Pathways in Disease (4 papers). Raili Seppälä is often cited by papers focused on Neonatal Health and Biochemistry (8 papers), Biomedical Research and Pathophysiology (5 papers) and Signaling Pathways in Disease (4 papers). Raili Seppälä collaborates with scholars based in United States, Finland and Cameroon. Raili Seppälä's co-authors include William A. Gahl, Veli-Pekka Lehto, Frank Tietze, William A. Gahl, Gilbert Ashwell, Gilles Thomas, Peter H. Weiss, Marika Vitikainen, Vesa P. Kontinen and Donna M. Krasnewich and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and FEBS Letters.

In The Last Decade

Raili Seppälä

17 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
Raili Seppälä	439	113	95	92	85	17	643
Cheryl Black	229 0.5×	181 1.6×	188 2.0×	34 0.4×	85 1.0×	22	785
Denis Loyaux	371 0.8×	55 0.5×	177 1.9×	80 0.9×	49 0.6×	19	698
G. Steinheider	309 0.7×	167 1.5×	115 1.2×	61 0.7×	56 0.7×	36	721
Stefan Schoebel	404 0.9×	67 0.6×	112 1.2×	331 3.6×	84 1.0×	11	690
Martin H. Wisher	384 0.9×	73 0.6×	44 0.5×	97 1.1×	77 0.9×	18	755
Steven C. Mohos	300 0.7×	81 0.7×	58 0.6×	72 0.8×	23 0.3×	11	553
Andrzej Piasek	369 0.8×	138 1.2×	68 0.7×	84 0.9×	161 1.9×	23	785
Stephen C. Hauser	383 0.9×	25 0.2×	104 1.1×	90 1.0×	54 0.6×	20	618
Andrew Napoli	295 0.7×	21 0.2×	105 1.1×	58 0.6×	38 0.4×	23	588
Xiaomei Niu	260 0.6×	132 1.2×	65 0.7×	49 0.5×	35 0.4×	36	739

Countries citing papers authored by Raili Seppälä

Since Specialization

Citations

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

Fields of papers citing papers by Raili Seppälä

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raili Seppälä

This figure shows the co-authorship network connecting the top 25 collaborators of Raili Seppälä. A scholar is included among the top collaborators of Raili Seppälä 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 Raili Seppälä. Raili Seppälä 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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