Camilla Lenz

13 total papers · 1.0k total citations
12 papers, 855 citations indexed

About

Camilla Lenz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, Camilla Lenz has authored 12 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Insect Science. Recurrent topics in Camilla Lenz's work include Neurobiology and Insect Physiology Research (7 papers), Biochemical and Structural Characterization (3 papers) and Receptor Mechanisms and Signaling (3 papers). Camilla Lenz is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Biochemical and Structural Characterization (3 papers) and Receptor Mechanisms and Signaling (3 papers). Camilla Lenz collaborates with scholars based in Denmark, Sweden and United States. Camilla Lenz's co-authors include Cornelis J.P. Grimmelikhuijzen, Michael P. Williamson, Leif Søndergaard, Dick R. Nässel, Giuseppe Cazzamali, Thomas J. D. Jørgensen, Peter Roepstorff, Åsa M.E. Winther, G.N. Hansen and Birgitte Munch‐Petersen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Camilla Lenz

12 papers receiving 845 citations

Author Peers

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

Author Last Decade Papers Cites
Camilla Lenz 684 340 299 276 154 12 855
Hans Peter Vandersmissen 631 0.9× 328 1.0× 316 1.1× 256 0.9× 107 0.7× 19 869
Matthias B. Van Hiel 619 0.9× 362 1.1× 331 1.1× 383 1.4× 118 0.8× 19 1.0k
Qianyu He 443 0.6× 246 0.7× 223 0.7× 265 1.0× 94 0.6× 28 751
Brian E. Brown 848 1.2× 321 0.9× 409 1.4× 237 0.9× 77 0.5× 14 1.0k
Dietrich Bodenstein 507 0.7× 358 1.1× 328 1.1× 232 0.8× 54 0.4× 28 912
Ruthann Nichols 657 1.0× 194 0.6× 244 0.8× 277 1.0× 156 1.0× 32 803
Philippe Rosay 727 1.1× 235 0.7× 232 0.8× 228 0.8× 147 1.0× 11 852
Josiane Girardie 672 1.0× 259 0.8× 265 0.9× 201 0.7× 42 0.3× 28 819
Sven Zels 531 0.8× 230 0.7× 299 1.0× 277 1.0× 104 0.7× 25 876
F. M. Butterworth 416 0.6× 262 0.8× 211 0.7× 202 0.7× 105 0.7× 26 708

Countries citing papers authored by Camilla Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Lenz

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