Niklas Schmedt

78 total papers · 998 total citations
43 papers, 684 citations indexed

About

Niklas Schmedt is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Niklas Schmedt has authored 43 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Epidemiology. Recurrent topics in Niklas Schmedt's work include Diabetes Treatment and Management (12 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Niklas Schmedt is often cited by papers focused on Diabetes Treatment and Management (12 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Niklas Schmedt collaborates with scholars based in Germany, United States and United Kingdom. Niklas Schmedt's co-authors include Edeltraut Garbe, Frank Andersohn, Ute Amann, Ingo Langner, Rafael Mikolajczyk, Jochen Walker, Dennis Häckl, Christina Lindemann, Stefan Weinmann and Stefan N. Willich and has published in prestigious journals such as PLoS ONE, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

Niklas Schmedt

42 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
Niklas Schmedt	168	119	107	85	80	43	684
Gerardo Machnicki	189 1.1×	67 0.6×	65 0.6×	24 0.3×	42 0.5×	42	787
Kamel Masmoudi	89 0.5×	99 0.8×	39 0.4×	35 0.4×	90 1.1×	57	780
Élodie Pambrun	210 1.3×	155 1.3×	50 0.5×	70 0.8×	81 1.0×	40	632
María Antonietta Barbieri	138 0.8×	94 0.8×	23 0.2×	40 0.5×	86 1.1×	65	784
Rongrong Yang	152 0.9×	112 0.9×	145 1.4×	30 0.4×	65 0.8×	63	749
Shayne N. Freemantle	212 1.3×	34 0.3×	72 0.7×	49 0.6×	171 2.1×	22	777
Hui Xu	45 0.3×	211 1.8×	84 0.8×	32 0.4×	21 0.3×	45	738
Varalak Srinonprasert	60 0.4×	72 0.6×	52 0.5×	77 0.9×	24 0.3×	79	621
Victor Heh	142 0.8×	143 1.2×	57 0.5×	11 0.1×	65 0.8×	42	761
Margaret A. DiVita	93 0.6×	206 1.7×	31 0.3×	42 0.5×	21 0.3×	33	629

Countries citing papers authored by Niklas Schmedt

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Schmedt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Schmedt

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