Marisa Lim

910 total citations
18 papers, 502 citations indexed

About

Marisa Lim is a scholar working on Ecology, Genetics and Molecular Biology. According to data from OpenAlex, Marisa Lim has authored 18 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Marisa Lim's work include Environmental DNA in Biodiversity Studies (6 papers), Species Distribution and Climate Change (5 papers) and Genetic diversity and population structure (5 papers). Marisa Lim is often cited by papers focused on Environmental DNA in Biodiversity Studies (6 papers), Species Distribution and Climate Change (5 papers) and Genetic diversity and population structure (5 papers). Marisa Lim collaborates with scholars based in United States, Switzerland and Germany. Marisa Lim's co-authors include Stefan Prost, Craig Moritz, James L. Patton, A. Cole Burton, Kristoffer Sahlin, Emily Rubidge, Justin S. Brashares, Catherine H. Graham, Adeline Seah and Liliana M. Dávalos and has published in prestigious journals such as Current Biology, Nature Protocols and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Marisa Lim

18 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisa Lim United States 12 268 186 141 130 99 18 502
Mikhail Kalyakin Russia 7 289 1.1× 142 0.8× 181 1.3× 109 0.8× 104 1.1× 16 467
Emily Hartop United States 11 290 1.1× 197 1.1× 150 1.1× 138 1.1× 273 2.8× 30 624
Francesca Raffini Italy 9 147 0.5× 112 0.6× 157 1.1× 56 0.4× 74 0.7× 12 399
Chuanyin Dai China 11 142 0.5× 102 0.5× 232 1.6× 73 0.6× 116 1.2× 28 392
Houman Jowkar United States 8 273 1.0× 181 1.0× 139 1.0× 51 0.4× 79 0.8× 11 450
Chih‐Ming Hung Taiwan 12 197 0.7× 68 0.4× 173 1.2× 98 0.8× 93 0.9× 28 419
Jessica A. Oswald United States 13 158 0.6× 155 0.8× 157 1.1× 70 0.5× 135 1.4× 27 409
Hope M. Draheim United States 11 317 1.2× 95 0.5× 319 2.3× 83 0.6× 101 1.0× 15 492
Paolo Agnelli Italy 12 324 1.2× 195 1.0× 127 0.9× 50 0.4× 239 2.4× 35 516
Thomas Valqui United States 13 354 1.3× 272 1.5× 248 1.8× 58 0.4× 210 2.1× 31 671

Countries citing papers authored by Marisa Lim

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Lim

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

All Works

18 of 18 papers shown
1.
Moreno-Santillán, Diana D., Graham M. Hughes, Nicole S. Paulat, et al.. (2023). The evolution of antimicrobial peptides in Chiroptera. Frontiers in Immunology. 14. 1250229–1250229. 3 indexed citations
2.
Barreto, Elisa, Marisa Lim, Danny Rojas, et al.. (2023). Morphology and niche evolution influence hummingbird speciation rates. Proceedings of the Royal Society B Biological Sciences. 290(1997). 20221793–20221793. 12 indexed citations
3.
Lim, Marisa, Anton Seimon, Charles C.Y. Xu, et al.. (2022). Estimating biodiversity across the tree of life on Mount Everest’s southern flank with environmental DNA. iScience. 25(9). 104848–104848. 6 indexed citations
4.
Pomerantz, Aaron, Kristoffer Sahlin, Adeline Seah, et al.. (2022). Rapid in situ identification of biological specimens via DNA amplicon sequencing using miniaturized laboratory equipment. Nature Protocols. 17(6). 1415–1443. 29 indexed citations
5.
Liu, Jun, et al.. (2022). Simulation Data Driven Design Optimization for Reconfigurable Soft Gripper System. IEEE Robotics and Automation Letters. 7(2). 5803–5810. 12 indexed citations
6.
Drinkwater, Rosie, Kalina T. J. Davies, Marisa Lim, et al.. (2021). Nectar-feeding bats and birds show parallel molecular adaptations in sugar metabolism enzymes. Current Biology. 31(20). 4667–4674.e6. 10 indexed citations
7.
Lim, Marisa, Emily Humble, Adeline Seah, et al.. (2021). Developmental validation of Oxford Nanopore Technology MinION sequence data and the NGSpeciesID bioinformatic pipeline for forensic genetic species identification. Forensic Science International Genetics. 53. 102493–102493. 39 indexed citations
8.
Lim, Marisa, Ke Bi, Christopher C. Witt, Catherine H. Graham, & Liliana M. Dávalos. (2021). Pervasive Genomic Signatures of Local Adaptation to Altitude Across Highland Specialist Andean Hummingbird Populations. Journal of Heredity. 112(3). 229–240. 10 indexed citations
9.
Sahlin, Kristoffer, Marisa Lim, & Stefan Prost. (2021). NGSpeciesID: DNA barcode and amplicon consensus generation from long‐read sequencing data. Ecology and Evolution. 11(3). 1392–1398. 58 indexed citations
10.
Seah, Adeline, Marisa Lim, Denise McAloose, Stefan Prost, & Tracie A. Seimon. (2020). MinION-Based DNA Barcoding of Preserved and Non-Invasively Collected Wildlife Samples. Genes. 11(4). 445–445. 27 indexed citations
11.
Lim, Marisa, Christopher C. Witt, Catherine H. Graham, & Liliana M. Dávalos. (2019). Parallel Molecular Evolution in Pathways, Genes, and Sites in High-Elevation Hummingbirds Revealed by Comparative Transcriptomics. Genome Biology and Evolution. 11(6). 1573–1585. 26 indexed citations
12.
Morelli, Toni Lyn, Sean P. Maher, Marisa Lim, et al.. (2017). Climate change refugia and habitat connectivity promote species persistence. BearWorks (Missouri State University). 4(1). 48 indexed citations
13.
Conroy, Chris J., et al.. (2016). Following the rivers: historical reconstruction of California volesMicrotus californicus(Rodentia: Cricetidae) in the deserts of eastern California. Biological Journal of the Linnean Society. 119(1). 80–98. 8 indexed citations
14.
Graham, Catherine H., Sarah R. Supp, Donald R. Powers, et al.. (2016). Winter conditions influence biological responses of migrating hummingbirds. Ecosphere. 7(10). 11 indexed citations
15.
Lim, Marisa, et al.. (2015). Microsatellite variation in the Owens Valley Vole (Microtus californicus vallicola). The Southwestern Naturalist. 60(2-3). 256–262. 1 indexed citations
16.
Supp, Sarah R., Frank A. La Sorte, Marisa Lim, et al.. (2015). Citizen‐science data provides new insight into annual and seasonal variation in migration patterns. Ecosphere. 6(1). 1–19. 56 indexed citations
17.
Lim, Marisa, et al.. (2014). Delimiting species in the genusOtospermophilus(Rodentia: Sciuridae), using genetics, ecology, and morphology. Biological Journal of the Linnean Society. 113(4). 1136–1151. 17 indexed citations
18.
Rubidge, Emily, James L. Patton, Marisa Lim, et al.. (2012). Climate-induced range contraction drives genetic erosion in an alpine mammal. Nature Climate Change. 2(4). 285–288. 129 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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