Devjanee Swain-Lenz

551 total citations
9 papers, 344 citations indexed

About

Devjanee Swain-Lenz is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Devjanee Swain-Lenz has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Food Science and 1 paper in Infectious Diseases. Recurrent topics in Devjanee Swain-Lenz's work include Genomics and Chromatin Dynamics (3 papers), Fermentation and Sensory Analysis (2 papers) and Muscle Physiology and Disorders (2 papers). Devjanee Swain-Lenz is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Fermentation and Sensory Analysis (2 papers) and Muscle Physiology and Disorders (2 papers). Devjanee Swain-Lenz collaborates with scholars based in United States, Italy and Australia. Devjanee Swain-Lenz's co-authors include Justin C. Fay, Hyun Seok Kim, Shiaw‐Pyng Yang, Scott W Doniger, Rohit V. Pappu, Max V. Staller, Alex S. Holehouse, Rahul K. Das, Barak A. Cohen and Linda Riles and has published in prestigious journals such as Genetics, Science Advances and Molecular Biology and Evolution.

In The Last Decade

Devjanee Swain-Lenz

8 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devjanee Swain-Lenz United States 6 276 106 63 57 15 9 344
Linda Wilkinson United States 8 413 1.5× 64 0.6× 35 0.6× 58 1.0× 18 1.2× 10 485
Hannah Tabakh United States 5 329 1.2× 122 1.2× 9 0.1× 19 0.3× 16 1.1× 8 365
Kasım Bajroviç Bosnia and Herzegovina 11 179 0.6× 122 1.2× 15 0.2× 126 2.2× 9 0.6× 44 340
Sarah Hewitt United Kingdom 7 146 0.5× 67 0.6× 66 1.0× 74 1.3× 12 0.8× 9 231
Tangirala Suryanarayana India 11 377 1.4× 162 1.5× 15 0.2× 52 0.9× 17 1.1× 18 440
Katherine A. Braun United States 9 340 1.2× 53 0.5× 10 0.2× 53 0.9× 11 0.7× 10 373
Pierre Therizols France 9 831 3.0× 68 0.6× 25 0.4× 191 3.4× 8 0.5× 11 873
M. Kelly United States 3 310 1.1× 89 0.8× 20 0.3× 66 1.2× 16 1.1× 6 344
Lorena Espinar Spain 8 270 1.0× 116 1.1× 6 0.1× 28 0.5× 12 0.8× 12 317
Michiel Noback Netherlands 6 181 0.7× 138 1.3× 12 0.2× 27 0.5× 4 0.3× 11 295

Countries citing papers authored by Devjanee Swain-Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Devjanee Swain-Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devjanee Swain-Lenz

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

All Works

9 of 9 papers shown
1.
2.
Prinz, Joseph A., et al.. (2024). Genetic changes from type I interferons and JAK inhibitors: clues to drivers of juvenile dermatomyositis. Lara D. Veeken. 63(SI2). SI240–SI248. 5 indexed citations
3.
Edsall, Lee, Alejandro Berrío, William H. Majoros, et al.. (2019). Evaluating Chromatin Accessibility Differences Across Multiple Primate Species Using a Joint Modeling Approach. Genome Biology and Evolution. 11(10). 3035–3053. 9 indexed citations
4.
Swain-Lenz, Devjanee, Alejandro Berrío, Alexias Safi, Gregory E. Crawford, & Gregory A. Wray. (2019). Comparative Analyses of Chromatin Landscape in White Adipose Tissue Suggest Humans May Have Less Beigeing Potential than Other Primates. Genome Biology and Evolution. 11(7). 1997–2008. 17 indexed citations
5.
Staller, Max V., Alex S. Holehouse, Devjanee Swain-Lenz, et al.. (2018). A High-Throughput Mutational Scan of an Intrinsically Disordered Acidic Transcriptional Activation Domain. Cell Systems. 6(4). 444–455.e6. 103 indexed citations
6.
Swain-Lenz, Devjanee, Igor Nikolskiy, Jiye Cheng, et al.. (2017). Causal Genetic Variation Underlying Metabolome Differences. Genetics. 206(4). 2199–2206. 2 indexed citations
7.
Chiappinelli, Katherine B., Britney L. Moss, Devjanee Swain-Lenz, et al.. (2016). Evaluation to Improve a High School Summer Science Outreach Program. Journal of Microbiology and Biology Education. 17(2). 225–236. 11 indexed citations
8.
Swain-Lenz, Devjanee, Linda Riles, & Justin C. Fay. (2014). Heterochronic Meiotic Misexpression in an Interspecific Yeast Hybrid. Molecular Biology and Evolution. 31(6). 1333–1342. 14 indexed citations
9.
Doniger, Scott W, et al.. (2008). A Catalog of Neutral and Deleterious Polymorphism in Yeast. PLoS Genetics. 4(8). e1000183–e1000183. 183 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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