Jette Nowak

22 total papers · 850 total citations
20 papers, 666 citations indexed

About

Jette Nowak is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, Jette Nowak has authored 20 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Physiology and 6 papers in Genetics. Recurrent topics in Jette Nowak's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Adipose Tissue and Metabolism (4 papers) and Birth, Development, and Health (3 papers). Jette Nowak is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Adipose Tissue and Metabolism (4 papers) and Birth, Development, and Health (3 papers). Jette Nowak collaborates with scholars based in Denmark, United States and Sweden. Jette Nowak's co-authors include Helene Solberg, Anne Charlotte Hegelund, Frederikke Lihme Egerod, Helene Jacobsen, Henriette Svarre Nielsen, Daniel J. Drucker, Anne Sietske de Boer, Lotte Bjerre Knudsen, Milan Zdravkovic and Søren Dyring Jacobsen and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Jette Nowak

20 papers receiving 631 citations

Hit Papers

Glucagon-Like Peptide-1 R... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jette Nowak 508 323 177 119 87 20 666
Anne Charlotte Hegelund 516 1.0× 387 1.2× 202 1.1× 119 1.0× 67 0.8× 11 672
T. Bourcier 359 0.7× 228 0.7× 326 1.8× 84 0.7× 83 1.0× 11 742
Leann Olansky 407 0.8× 305 0.9× 185 1.0× 41 0.3× 81 0.9× 29 726
Hisashi Yokomizo 282 0.6× 263 0.8× 180 1.0× 45 0.4× 143 1.6× 26 739
Ryo Kodera 370 0.7× 169 0.5× 188 1.1× 61 0.5× 58 0.7× 16 646
Alicia Acitores 304 0.6× 299 0.9× 213 1.2× 34 0.3× 137 1.6× 18 567
Atsuko Abiko 336 0.7× 285 0.9× 201 1.1× 41 0.3× 107 1.2× 26 791
Jocelyn de Heer 526 1.0× 265 0.8× 405 2.3× 48 0.4× 112 1.3× 20 752
Hakki Bölükoglu 521 1.0× 262 0.8× 219 1.2× 80 0.7× 70 0.8× 13 768
Marie‐Louise Hartoft‐Nielsen 432 0.9× 231 0.7× 97 0.5× 95 0.8× 59 0.7× 17 626

Countries citing papers authored by Jette Nowak

Since Specialization
Citations

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

Fields of papers citing papers by Jette Nowak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jette Nowak

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