Anette Sams

51 total papers · 2.1k total citations
42 papers, 1.7k citations indexed

About

Anette Sams is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Anette Sams has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 12 papers in Physiology. Recurrent topics in Anette Sams's work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Anette Sams is often cited by papers focused on Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Anette Sams collaborates with scholars based in Denmark, United States and Sweden. Anette Sams's co-authors include Anette A. Pedersen, Christoph Kalthoff, Søren Tullin, Koji Ohashi, Joseph A. Vita, Kenneth Walsh, Jennifer Parker, Akiko Higuchi, Ross Summer and Noyan Gokce and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Neuron.

In The Last Decade

Anette Sams

42 papers receiving 1.6k citations

Hit Papers

Adiponectin Promotes Macr... 2009 2026 2014 2020 2009 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
Anette Sams 565 558 504 406 255 42 1.7k
Jacqueline Friedman 558 1.0× 363 0.7× 1.2k 2.4× 528 1.3× 142 0.6× 47 2.4k
Akihiro Yasuhara 325 0.6× 430 0.8× 405 0.8× 217 0.5× 298 1.2× 79 1.9k
Takeshi Nakahashi 456 0.8× 220 0.4× 503 1.0× 693 1.7× 97 0.4× 49 2.2k
Diego Currò 390 0.7× 199 0.4× 653 1.3× 304 0.7× 86 0.3× 68 1.9k
Masamichi Okubo 755 1.3× 377 0.7× 402 0.8× 245 0.6× 79 0.3× 71 2.1k
Marta Noa Valcarcel‐Ares 615 1.1× 279 0.5× 846 1.7× 141 0.3× 73 0.3× 31 2.4k
Angelo Maffei 594 1.1× 275 0.5× 760 1.5× 144 0.4× 100 0.4× 36 2.1k
Benjamin Pulli 406 0.7× 336 0.6× 421 0.8× 239 0.6× 57 0.2× 53 1.9k
Elena Del Bianco 735 1.3× 179 0.3× 693 1.4× 886 2.2× 205 0.8× 74 2.4k
T. Michael De Silva 401 0.7× 274 0.5× 546 1.1× 101 0.2× 74 0.3× 36 2.0k

Countries citing papers authored by Anette Sams

Since Specialization
Citations

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

Fields of papers citing papers by Anette Sams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anette Sams

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