Maria Norlin

65 total papers · 1.4k total citations
48 papers, 1.1k citations indexed

About

Maria Norlin is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Maria Norlin has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Pathology and Forensic Medicine and 19 papers in Genetics. Recurrent topics in Maria Norlin's work include Hormonal Regulation and Hypertension (25 papers), Vitamin D Research Studies (21 papers) and Estrogen and related hormone effects (19 papers). Maria Norlin is often cited by papers focused on Hormonal Regulation and Hypertension (25 papers), Vitamin D Research Studies (21 papers) and Estrogen and related hormone effects (19 papers). Maria Norlin collaborates with scholars based in Sweden, United States and Denmark. Maria Norlin's co-authors include Kjell Wikvall, Ingemar Björkhem, Johan Lundqvist, Wanjin Tang, Jan Andersson, Maria Ellfolk, Hanna Pettersson, Gösta Eggertsen, John Y.L. Chiang and Irina A. Pikuleva and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Biochemical Journal.

In The Last Decade

Maria Norlin

48 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Maria Norlin 345 334 307 250 248 48 1.1k
Kyuichiro Okuda 315 0.9× 506 1.5× 445 1.4× 473 1.9× 365 1.5× 56 1.4k
H Oftebro 286 0.8× 366 1.1× 258 0.8× 164 0.7× 233 0.9× 29 966
Sayeepriyadarshini Anakk 301 0.9× 138 0.4× 599 2.0× 69 0.3× 390 1.6× 49 1.4k
Charlotte Brasch‐Andersen 164 0.5× 200 0.6× 497 1.6× 48 0.2× 301 1.2× 48 1.1k
Jun Liu 154 0.4× 230 0.7× 553 1.8× 81 0.3× 102 0.4× 48 1.5k
Vernon R. Mattox 134 0.4× 421 1.3× 375 1.2× 98 0.4× 68 0.3× 67 1.2k
Patricia Aspichueta 217 0.6× 365 1.1× 582 1.9× 91 0.4× 121 0.5× 51 1.4k
Y. Inaba 175 0.5× 149 0.4× 632 2.1× 187 0.7× 156 0.6× 37 1.4k
Limei Liu 180 0.5× 288 0.9× 618 2.0× 68 0.3× 112 0.5× 69 1.5k
Monica Pibiri 258 0.7× 404 1.2× 682 2.2× 42 0.2× 221 0.9× 40 1.4k

Countries citing papers authored by Maria Norlin

Since Specialization
Citations

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

Fields of papers citing papers by Maria Norlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Norlin

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