Lauren Eserman

642 total citations
10 papers, 185 citations indexed

About

Lauren Eserman is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology. According to data from OpenAlex, Lauren Eserman has authored 10 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Lauren Eserman's work include Plant and animal studies (5 papers), Plant Diversity and Evolution (3 papers) and Plant and Fungal Species Descriptions (2 papers). Lauren Eserman is often cited by papers focused on Plant and animal studies (5 papers), Plant Diversity and Evolution (3 papers) and Plant and Fungal Species Descriptions (2 papers). Lauren Eserman collaborates with scholars based in United States, United Kingdom and Denmark. Lauren Eserman's co-authors include Jim Leebens‐Mack, Robert L. Jarret, Richard E. Miller, George P. Tiley, Emily E. D. Coffey, John R. Wood, Chrystian C Sosa, Steven Sotelo, Colin K. Khoury and Harold Achicanoy and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and American Journal of Botany.

In The Last Decade

Lauren Eserman

8 papers receiving 182 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren Eserman United States 6 101 96 86 37 16 10 185
Chloé Manzanares Switzerland 8 185 1.8× 79 0.8× 110 1.3× 40 1.1× 4 0.3× 11 228
Teresa Lenser Germany 6 271 2.7× 63 0.7× 148 1.7× 57 1.5× 3 0.2× 8 313
Karen Chamusco United States 7 272 2.7× 27 0.3× 208 2.4× 27 0.7× 10 0.6× 10 318
B. B. Z. Vigna Brazil 13 174 1.7× 161 1.7× 74 0.9× 62 1.7× 2 0.1× 30 284
Carla Valeria Filippi Argentina 9 169 1.7× 17 0.2× 53 0.6× 64 1.7× 4 0.3× 25 218
Juqing Kang China 9 251 2.5× 61 0.6× 201 2.3× 44 1.2× 3 0.2× 14 336
Ana Paula Leite Montalvão Germany 7 170 1.7× 53 0.6× 154 1.8× 96 2.6× 2 0.1× 14 259
Asuka Higo Japan 4 315 3.1× 58 0.6× 225 2.6× 17 0.5× 4 0.3× 7 336
Chiara Delvento Italy 7 147 1.5× 17 0.2× 36 0.4× 44 1.2× 15 0.9× 12 172

Countries citing papers authored by Lauren Eserman

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Eserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Eserman

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

All Works

10 of 10 papers shown
2.
Dreaden, Tyler J., et al.. (2024). Genetic variation in the endangered Florida torreya (Torreya taxifolia Arn.) and implications for conservation1. The Journal of the Torrey Botanical Society. 151(3).
3.
Eserman, Lauren, et al.. (2024). Population Genetics and Conservation of the Rare and Endangered Florida-Endemic Conradina glabra (Lamiaceae). International Journal of Plant Sciences. 186(2). 83–93. 1 indexed citations
4.
Taylor, Isaiah, Christopher B. Pierce, Enes Aydın, et al.. (2023). The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth. PLoS ONE. 18(12). e0295823–e0295823. 1 indexed citations
5.
Simões, Ana Rita G., Lauren Eserman, Alexandre R. Zuntini, et al.. (2022). A Bird’s Eye View of the Systematics of Convolvulaceae: Novel Insights From Nuclear Genomic Data. Frontiers in Plant Science. 13. 889988–889988. 20 indexed citations
6.
Eserman, Lauren, et al.. (2021). Target sequence capture in orchids: Developing a kit to sequence hundreds of single‐copy loci. Applications in Plant Sciences. 9(7). e11416–e11416. 28 indexed citations
7.
Eserman, Lauren, Robert L. Jarret, & Jim Leebens‐Mack. (2018). Parallel evolution of storage roots in morning glories (Convolvulaceae). BMC Plant Biology. 18(1). 95–95. 18 indexed citations
8.
Khoury, Colin K., Bettina Heider, Nora P Castañeda Álvarez, et al.. (2015). Distributions, ex situ conservation priorities, and genetic resource potential of crop wild relatives of sweetpotato [Ipomoea batatas (L.) Lam., I. series Batatas]. Frontiers in Plant Science. 6. 251–251. 54 indexed citations
9.
Mason, Chase M., et al.. (2015). Low Inbreeding Depression and High Plasticity under Abiotic Stress in the Tall Morningglory (Ipomoea purpurea). Weed Science. 63(4). 864–876. 7 indexed citations
10.
Eserman, Lauren, George P. Tiley, Robert L. Jarret, Jim Leebens‐Mack, & Richard E. Miller. (2013). Phylogenetics and diversification of morning glories (tribe Ipomoeeae, Convolvulaceae) based on whole plastome sequences. American Journal of Botany. 101(1). 92–103. 56 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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