Curtis M. Loer

35 total papers · 1.1k total citations
24 papers, 851 citations indexed

About

Curtis M. Loer is a scholar working on Aging, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Curtis M. Loer has authored 24 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aging, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Endocrine and Autonomic Systems. Recurrent topics in Curtis M. Loer's work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Circadian rhythm and melatonin (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Curtis M. Loer is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (17 papers), Circadian rhythm and melatonin (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Curtis M. Loer collaborates with scholars based in United States, Germany and United Kingdom. Curtis M. Loer's co-authors include Yang Shi, Ji Ying Sze, Martin Victor, Gary Ruvkun, William B. Kristan, Emily E. Hare, Corey S. Goodman, John D. Steeves, Aurora Martı́nez and Ana Cristina Calvo and has published in prestigious journals such as Nature, Science and Development.

In The Last Decade

Curtis M. Loer

23 papers receiving 838 citations

Hit Papers

Food and metabolic signal... 2000 2026 2008 2017 2000 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
Curtis M. Loer 590 366 231 210 144 24 851
Marios Chatzigeorgiou 561 1.0× 430 1.2× 259 1.1× 333 1.6× 190 1.3× 23 972
Daniel L. Chase 702 1.2× 486 1.3× 237 1.0× 213 1.0× 115 0.8× 15 992
Robyn Lints 623 1.1× 387 1.1× 281 1.2× 127 0.6× 98 0.7× 33 892
Andrew C. Giles 492 0.8× 278 0.8× 322 1.4× 314 1.5× 138 1.0× 27 976
Esther Serrano‐Saiz 558 0.9× 349 1.0× 362 1.6× 238 1.1× 123 0.9× 16 917
Marina Ezcurra 683 1.2× 425 1.2× 236 1.0× 152 0.7× 213 1.5× 25 910
Masahiro Tomioka 708 1.2× 528 1.4× 261 1.1× 189 0.9× 176 1.2× 25 950
Ying Wang 409 0.7× 210 0.6× 303 1.3× 149 0.7× 110 0.8× 33 893
Takaaki Hirotsu 444 0.8× 293 0.8× 229 1.0× 220 1.0× 58 0.4× 43 849
Alex Ward 424 0.7× 324 0.9× 170 0.7× 297 1.4× 123 0.9× 10 718

Countries citing papers authored by Curtis M. Loer

Since Specialization
Citations

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

Fields of papers citing papers by Curtis M. Loer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis M. Loer. 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 Curtis M. Loer. The network helps show where Curtis M. Loer may publish in the future.

Co-authorship network of co-authors of Curtis M. Loer

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis M. Loer. A scholar is included among the top collaborators of Curtis M. Loer 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 Curtis M. Loer. Curtis M. Loer 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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