Tchern Lenn

26 total papers · 1.2k total citations
16 papers, 686 citations indexed

About

Tchern Lenn is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Tchern Lenn has authored 16 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Biophysics and 3 papers in Genetics. Recurrent topics in Tchern Lenn's work include Advanced Fluorescence Microscopy Techniques (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Tchern Lenn is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Tchern Lenn collaborates with scholars based in United Kingdom, United States and Switzerland. Tchern Lenn's co-authors include Mark C. Leake, Conrad W. Mullineaux, Lorena Pérez, Carlos del Fresno, Mathieu-Benoı̂t Voisin, Antal Rot, Anna Barkaway, Eleanor Lynam, Sussan Nourshargh and Elin Hub and has published in prestigious journals such as Nature Communications, Immunity and Development.

In The Last Decade

Tchern Lenn

16 papers receiving 680 citations

Author Peers

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

Author Last Decade Papers Cites
Tchern Lenn 400 162 131 100 52 16 686
Jacob S. Lewis 560 1.4× 37 0.2× 55 0.4× 196 2.0× 57 1.1× 26 667
Michael Stöhr 443 1.1× 107 0.7× 26 0.2× 82 0.8× 61 1.2× 21 640
María Josefa Rodríguez 299 0.7× 42 0.3× 27 0.2× 23 0.2× 70 1.3× 17 680
Masahito Hayashi 296 0.7× 123 0.8× 17 0.1× 54 0.5× 96 1.8× 31 570
Thomas H. Alton 391 1.0× 124 0.8× 29 0.2× 59 0.6× 266 5.1× 9 684
Yanina N. Malykh 581 1.5× 200 1.2× 148 1.1× 50 0.5× 59 1.1× 9 760
Terrence M. Dobrowsky 389 1.0× 31 0.2× 63 0.5× 143 1.4× 124 2.4× 14 577
Stoyan Tankov 451 1.1× 75 0.5× 73 0.6× 227 2.3× 49 0.9× 18 653
Riccardo Maraspini 422 1.1× 43 0.3× 131 1.0× 118 1.2× 179 3.4× 11 682
Hui Lu 296 0.7× 87 0.5× 33 0.3× 191 1.9× 11 0.2× 18 584

Countries citing papers authored by Tchern Lenn

Since Specialization
Citations

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

Fields of papers citing papers by Tchern Lenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tchern Lenn

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