Nikolai Madrid Scheller

19 total papers · 831 total citations
12 papers, 452 citations indexed

About

Nikolai Madrid Scheller is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Nikolai Madrid Scheller has authored 12 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Nikolai Madrid Scheller's work include Diabetes Treatment and Management (4 papers), Diabetes Management and Research (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Nikolai Madrid Scheller is often cited by papers focused on Diabetes Treatment and Management (4 papers), Diabetes Management and Research (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Nikolai Madrid Scheller collaborates with scholars based in Denmark, Sweden and Greenland. Nikolai Madrid Scheller's co-authors include Anders Hviid, Björn Pasternak, Henrik Svanström, Lisen Arnheim‐Dahlström, Christian Torp‐Pedersen, Karin Sundström, Katharina Fink, Allan Vaag, Ulrik M. Mogensen and Charlotte Andersson and has published in prestigious journals such as New England Journal of Medicine, JAMA and Diabetologia.

In The Last Decade

Nikolai Madrid Scheller

12 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Nikolai Madrid Scheller 167 112 96 68 58 12 452
Katherine E. Kurgansky 57 0.3× 69 0.6× 81 0.8× 100 1.5× 55 0.9× 19 531
Lisbeth M. Baggesen 67 0.4× 191 1.7× 106 1.1× 89 1.3× 45 0.8× 13 443
Liyan Liu 137 0.8× 37 0.3× 62 0.6× 29 0.4× 11 0.2× 20 440
Emmanuel Keku 36 0.2× 34 0.3× 41 0.4× 56 0.8× 21 0.4× 22 432
Odette Chagoury 81 0.5× 139 1.2× 87 0.9× 47 0.7× 6 0.1× 18 473
Lynn M. Frydrych 156 0.9× 62 0.6× 67 0.7× 53 0.8× 4 0.1× 13 413
Kenji Yuri 123 0.7× 335 3.0× 22 0.2× 51 0.8× 21 0.4× 13 531
Steinar Nilssen 55 0.3× 114 1.0× 32 0.3× 23 0.3× 11 0.2× 15 527
Elena Younossi 357 2.1× 139 1.2× 54 0.6× 25 0.4× 9 0.2× 14 412
Joohon Sung 256 1.5× 28 0.3× 46 0.5× 30 0.4× 12 0.2× 9 474

Countries citing papers authored by Nikolai Madrid Scheller

Since Specialization
Citations

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

Fields of papers citing papers by Nikolai Madrid Scheller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolai Madrid Scheller. 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 Nikolai Madrid Scheller. The network helps show where Nikolai Madrid Scheller may publish in the future.

Co-authorship network of co-authors of Nikolai Madrid Scheller

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai Madrid Scheller. A scholar is included among the top collaborators of Nikolai Madrid Scheller 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 Nikolai Madrid Scheller. Nikolai Madrid Scheller 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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