Erlo Lutz

31 total papers · 1.5k total citations
9 papers, 1.1k citations indexed

About

Erlo Lutz is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Erlo Lutz has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Molecular Biology. Recurrent topics in Erlo Lutz's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (3 papers) and Adipose Tissue and Metabolism (2 papers). Erlo Lutz is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (3 papers) and Adipose Tissue and Metabolism (2 papers). Erlo Lutz collaborates with scholars based in United States, Germany and Brazil. Erlo Lutz's co-authors include Ira J. Goldberg, Yuko Kako, Jan L. Breslow, Irene K. Moore, Jonathan J. Fillmore, Chunli Yu, Jason K. Kim, Gerald I. Shulman, Yan Chen and Wanda Velez‐Carrasco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Erlo Lutz

8 papers receiving 1.1k citations

Hit Papers

Tissue-specific overexpre... 2001 2026 2009 2017 2001 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
Erlo Lutz 478 469 424 294 287 9 1.1k
Kalyani G. Bharadwaj 501 1.0× 541 1.2× 667 1.6× 321 1.1× 299 1.0× 18 1.5k
N. Moustaïd 507 1.1× 538 1.1× 226 0.5× 237 0.8× 299 1.0× 20 1.3k
Shuiqing Yu 576 1.2× 453 1.0× 496 1.2× 270 0.9× 195 0.7× 21 1.4k
Bernice Tsang 413 0.9× 273 0.6× 405 1.0× 164 0.6× 361 1.3× 20 1.2k
Stephan Jacob 373 0.8× 560 1.2× 389 0.9× 282 1.0× 271 0.9× 22 1.3k
Sophie Turban 553 1.2× 554 1.2× 218 0.5× 317 1.1× 305 1.1× 25 1.3k
Anastasia Georgiadi 362 0.8× 337 0.7× 401 0.9× 216 0.7× 221 0.8× 20 1.2k
Wanda Velez‐Carrasco 360 0.8× 346 0.7× 157 0.4× 297 1.0× 267 0.9× 13 963
Fokko Zandbergen 585 1.2× 340 0.7× 441 1.0× 224 0.8× 213 0.7× 10 1.3k
Ni-Huiping Son 478 1.0× 230 0.5× 378 0.9× 183 0.6× 133 0.5× 14 938

Countries citing papers authored by Erlo Lutz

Since Specialization
Citations

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

Fields of papers citing papers by Erlo Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erlo Lutz

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