Erik Lehnert

2.3k total citations · 1 hit paper
20 papers, 948 citations indexed

About

Erik Lehnert is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Erik Lehnert has authored 20 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Ecology and 3 papers in Biotechnology. Recurrent topics in Erik Lehnert's work include Coral and Marine Ecosystems Studies (5 papers), RNA modifications and cancer (3 papers) and Marine Sponges and Natural Products (3 papers). Erik Lehnert is often cited by papers focused on Coral and Marine Ecosystems Studies (5 papers), RNA modifications and cancer (3 papers) and Marine Sponges and Natural Products (3 papers). Erik Lehnert collaborates with scholars based in United States, Germany and France. Erik Lehnert's co-authors include John R. Pringle, Matthew S. Burriesci, Morgan E. Mouchka, Jodi Schwarz, Natalya D. Gallo, Oleg Simakov, Virginia M. Weis, Sebastian Baumgarten, Manuel Aranda and Craig Michell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Erik Lehnert

20 papers receiving 944 citations

Hit Papers

The genome of Aiptasia , ... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erik Lehnert United States 14 556 299 226 177 130 20 948
Annika Guse Germany 17 497 0.9× 614 2.1× 194 0.9× 174 1.0× 148 1.1× 24 1.2k
William J. Burnett United States 9 342 0.6× 311 1.0× 175 0.8× 55 0.3× 49 0.4× 13 850
Helena Ćetković Croatia 18 149 0.3× 547 1.8× 27 0.1× 186 1.1× 93 0.7× 60 975
Taewoo Ryu South Korea 13 235 0.4× 138 0.5× 121 0.5× 64 0.4× 18 0.1× 27 453
Koji Akasaka Japan 25 155 0.3× 1.2k 4.0× 276 1.2× 102 0.6× 99 0.8× 103 2.0k
Paul Muir Australia 20 837 1.5× 365 1.2× 474 2.1× 40 0.2× 30 0.2× 36 1.3k
Michelle Klautau Brazil 22 770 1.4× 188 0.6× 401 1.8× 1.1k 6.1× 92 0.7× 87 1.5k
Igor Yu. Dolmatov Russia 20 86 0.2× 158 0.5× 196 0.9× 159 0.9× 52 0.4× 74 1.1k
Yasunori Saito Japan 21 183 0.3× 313 1.0× 181 0.8× 36 0.2× 112 0.9× 50 1.1k
Camerron M. Crowder United States 8 270 0.5× 66 0.2× 132 0.6× 82 0.5× 32 0.2× 10 411

Countries citing papers authored by Erik Lehnert

Since Specialization
Citations

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

Fields of papers citing papers by Erik Lehnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Lehnert

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Lehnert. A scholar is included among the top collaborators of Erik Lehnert 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 Erik Lehnert. Erik Lehnert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Duncan, Daniel, Douglas I. Lin, Richard Davis, et al.. (2023). Predicting EGFR mutational status from pathology images using a real-world dataset. Scientific Reports. 13(1). 4404–4404. 16 indexed citations
3.
Adams, Ortwin, Marcel Andrée, Philipp Niklas Ostermann, et al.. (2021). Humoral response to SARS‐CoV‐2 and seasonal coronaviruses in COVID‐19 patients. Journal of Medical Virology. 94(3). 1096–1103. 3 indexed citations
4.
Alsafadi, Samar, Stéphane Dayot, Alexandre Houy, et al.. (2020). Genetic alterations of SUGP1 mimic mutant-SF3B1 splice pattern in lung adenocarcinoma and other cancers. Oncogene. 40(1). 85–96. 20 indexed citations
5.
Xiang, T., Erik Lehnert, Robert E. Jinkerson, et al.. (2020). Symbiont population control by host-symbiont metabolic interaction in Symbiodiniaceae-cnidarian associations. Nature Communications. 11(1). 108–108. 96 indexed citations
6.
Cleves, Phillip A., Cory J. Krediet, Erik Lehnert, Masayuki Onishi, & John R. Pringle. (2020). Insights into coral bleaching under heat stress from analysis of gene expression in a sea anemone model system. Proceedings of the National Academy of Sciences. 117(46). 28906–28917. 52 indexed citations
7.
Dehghannasiri, Roozbeh, et al.. (2019). Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers. Proceedings of the National Academy of Sciences. 116(31). 15524–15533. 25 indexed citations
8.
Yu, Ye, Jinpeng Liu, Xinan Liu, et al.. (2018). SeqOthello: querying RNA-seq experiments at scale. Genome biology. 19(1). 167–167. 24 indexed citations
9.
Lehnert, Erik, Anurag Sethi, Raunaq Malhotra, et al.. (2017). The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research. Cancer Research. 77(21). e3–e6. 78 indexed citations
10.
Kaushik, Gaurav, Yilong Li, Erik Lehnert, et al.. (2017). Abstract 2595: Enabling petabyte-scale cancer genomics with the NCI Cancer Cloud Pilots. Cancer Research. 77(13_Supplement). 2595–2595. 1 indexed citations
11.
Malhotra, Raunaq, Erik Lehnert, Jing Zhao, et al.. (2017). Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data. Current Protocols in Bioinformatics. 60(1). 11.16.1–11.16.32. 4 indexed citations
12.
Lang, Elisabeth, Vitaly I. Pozdeev, Haifeng Xu, et al.. (2016). Storage of Erythrocytes Induces Suicidal Erythrocyte Death. Cellular Physiology and Biochemistry. 39(2). 668–676. 43 indexed citations
13.
Baumgarten, Sebastian, Oleg Simakov, Yi Jin Liew, et al.. (2015). The genome of Aiptasia , a sea anemone model for coral symbiosis. Proceedings of the National Academy of Sciences. 112(38). 11893–11898. 289 indexed citations breakdown →
14.
Nikolakakis, Kiel, Erik Lehnert, Margaret McFall‐Ngai, & Edward G. Ruby. (2015). Use of Hybridization Chain Reaction-Fluorescent In Situ Hybridization To Track Gene Expression by Both Partners during Initiation of Symbiosis. Applied and Environmental Microbiology. 81(14). 4728–4735. 27 indexed citations
15.
Troll, Joshua V., Erik Lehnert, Kathleen T. Hackett, et al.. (2015). Structural and Functional Features of a Developmentally Regulated Lipopolysaccharide-Binding Protein. mBio. 6(5). e01193–15. 13 indexed citations
16.
Lehnert, Erik & Virginia Walbot. (2014). Sequencing and de novo assembly of a Dahlia hybrid cultivar transcriptome. Frontiers in Plant Science. 5. 340–340. 10 indexed citations
17.
Lehnert, Erik, Morgan E. Mouchka, Matthew S. Burriesci, et al.. (2013). Extensive Differences in Gene Expression Between Symbiotic and Aposymbiotic Cnidarians. G3 Genes Genomes Genetics. 4(2). 277–295. 135 indexed citations
18.
Lehnert, Erik, Matthew S. Burriesci, & John R. Pringle. (2012). Developing the anemone Aiptasia as a tractable model for cnidarian-dinoflagellate symbiosis: the transcriptome of aposymbiotic A. pallida. BMC Genomics. 13(1). 271–271. 83 indexed citations
19.
Burriesci, Matthew S., Erik Lehnert, & John R. Pringle. (2012). Fulcrum: condensing redundant reads from high-throughput sequencing studies. Bioinformatics. 28(10). 1324–1327. 27 indexed citations
20.
Lehnert, Erik, et al.. (1962). Further investigations into the dissociation forms of the genus Salmonella.. PubMed. Suppl 154. 287–90. 1 indexed citations

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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