Lone S. Bertelsen

24 total papers · 481 total citations
15 papers, 397 citations indexed

About

Lone S. Bertelsen is a scholar working on Surgery, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Lone S. Bertelsen has authored 15 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Lone S. Bertelsen's work include Helicobacter pylori-related gastroenterology studies (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Renal function and acid-base balance (2 papers). Lone S. Bertelsen is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Renal function and acid-base balance (2 papers). Lone S. Bertelsen collaborates with scholars based in United States, Denmark and Poland. Lone S. Bertelsen's co-authors include Kim E. Barrett, Stephen J. Keely, Lars Eckmann, Wolfgang G. Junger, M. Raschid Hoda, Günther Paesold, Michael Scharl, Lee R. Hagey, Alan F. Hofmann and Sandra L. Marcus and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and American Journal of Epidemiology.

In The Last Decade

Lone S. Bertelsen

15 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Lone S. Bertelsen	157	96	92	79	60	15	397
A Batra	127 0.8×	42 0.4×	52 0.6×	122 1.5×	34 0.6×	13	406
Anastasia Tsakmaki	196 1.2×	51 0.5×	135 1.5×	29 0.4×	61 1.0×	14	404
Sawako Miyoshi	200 1.3×	35 0.4×	123 1.3×	53 0.7×	19 0.3×	20	413
Tryggve Ljung	72 0.5×	33 0.3×	106 1.2×	100 1.3×	25 0.4×	16	426
Inca H. Hundscheid	145 0.9×	28 0.3×	150 1.6×	29 0.4×	71 1.2×	12	445
Gaby El Alam	190 1.2×	99 1.0×	66 0.7×	56 0.7×	23 0.4×	7	364
Jeff Zacks	87 0.6×	31 0.3×	70 0.8×	93 1.2×	24 0.4×	10	408
Angela M. Gajda	183 1.2×	30 0.3×	65 0.7×	38 0.5×	101 1.7×	13	433
Pasquale Santoro	155 1.0×	88 0.9×	84 0.9×	88 1.1×	42 0.7×	25	423
Rongbei Liu	217 1.4×	63 0.7×	42 0.5×	37 0.5×	69 1.1×	19	427

Countries citing papers authored by Lone S. Bertelsen

Since Specialization

Citations

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

Fields of papers citing papers by Lone S. Bertelsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lone S. Bertelsen. 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 Lone S. Bertelsen. The network helps show where Lone S. Bertelsen may publish in the future.

Co-authorship network of co-authors of Lone S. Bertelsen

This figure shows the co-authorship network connecting the top 25 collaborators of Lone S. Bertelsen. A scholar is included among the top collaborators of Lone S. Bertelsen 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 Lone S. Bertelsen. Lone S. Bertelsen 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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