Line Underbjerg

33 total papers · 1.4k total citations
23 papers, 995 citations indexed

About

Line Underbjerg is a scholar working on Surgery, Nephrology and Genetics. According to data from OpenAlex, Line Underbjerg has authored 23 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 19 papers in Nephrology and 8 papers in Genetics. Recurrent topics in Line Underbjerg's work include Thyroid and Parathyroid Surgery (20 papers), Parathyroid Disorders and Treatments (19 papers) and Genetic Syndromes and Imprinting (8 papers). Line Underbjerg is often cited by papers focused on Thyroid and Parathyroid Surgery (20 papers), Parathyroid Disorders and Treatments (19 papers) and Genetic Syndromes and Imprinting (8 papers). Line Underbjerg collaborates with scholars based in Denmark, Sweden and France. Line Underbjerg's co-authors include Lars Rejnmark, Tanja Sikjær, Leif Mosekilde, Lars Rolighed, Lise Sofie Bislev, Dorte Haubek, Hans Gjørup, Neil Gittoes, Sigríður Björnsdóttir and Zaki Hassan‐Smith and has published in prestigious journals such as Journal of Bone and Mineral Research, Bone and Osteoporosis International.

In The Last Decade

Line Underbjerg

22 papers receiving 972 citations

Author Peers

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

Author						Papers	Cites
Line Underbjerg	832	743	499	193	112	23	995
Stanisław Cichoń	772 0.9×	457 0.6×	474 0.9×	103 0.5×	27 0.2×	23	943
Mats Palmér	296 0.4×	443 0.6×	222 0.4×	266 1.4×	104 0.9×	15	831
Alp Bozbora	817 1.0×	332 0.4×	550 1.1×	77 0.4×	36 0.3×	49	1.2k
Neşe Özbey	386 0.5×	181 0.2×	544 1.1×	77 0.4×	77 0.7×	42	1.0k
A Denizot	623 0.7×	260 0.3×	477 1.0×	87 0.5×	39 0.3×	33	902
Ansgar Heck	345 0.4×	226 0.3×	624 1.3×	89 0.5×	109 1.0×	42	985
Meg Keil	635 0.8×	154 0.2×	666 1.3×	74 0.4×	163 1.5×	39	1.0k
Erik Nordenström	807 1.0×	473 0.6×	612 1.2×	75 0.4×	18 0.2×	53	1.1k
C. C. Chow	208 0.3×	194 0.3×	445 0.9×	167 0.9×	125 1.1×	29	921
Margaret Wilkinson	315 0.4×	402 0.5×	165 0.3×	94 0.5×	139 1.2×	24	872

Countries citing papers authored by Line Underbjerg

Since Specialization

Citations

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

Fields of papers citing papers by Line Underbjerg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Line Underbjerg

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