Kathleen Sprouffske

1.8k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Kathleen Sprouffske is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kathleen Sprouffske has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Kathleen Sprouffske's work include Cancer Genomics and Diagnostics (9 papers), Evolution and Genetic Dynamics (8 papers) and CRISPR and Genetic Engineering (4 papers). Kathleen Sprouffske is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Evolution and Genetic Dynamics (8 papers) and CRISPR and Genetic Engineering (4 papers). Kathleen Sprouffske collaborates with scholars based in United States, Switzerland and France. Kathleen Sprouffske's co-authors include Andreas Wagner, Carlo C. Maley, John W. Pepper, Paul Sniegowski, Gary L. Westbrook, Kenneth R. Tovar, José Aguilar-Rodríguez, Philip J. Gerrish, Lauren M.F. Merlo and Qihong Huang and has published in prestigious journals such as Nature Communications, PLoS ONE and Current Biology.

In The Last Decade

Kathleen Sprouffske

20 papers receiving 1.0k citations

Hit Papers

Growthcurver: an R package for obtaining interpretable me... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen Sprouffske United States 12 545 295 168 125 89 20 1.1k
Haiying Jiang China 20 501 0.9× 163 0.6× 164 1.0× 61 0.5× 30 0.3× 68 1.2k
Gilles Flatau France 26 1.2k 2.2× 534 1.8× 74 0.4× 147 1.2× 96 1.1× 60 2.4k
Hongan Long China 20 1.1k 2.1× 751 2.5× 133 0.8× 437 3.5× 46 0.5× 67 1.7k
Gabriela Moura Portugal 24 1.1k 2.1× 218 0.7× 136 0.8× 121 1.0× 64 0.7× 61 1.6k
Michael Molla United States 10 1.1k 2.1× 740 2.5× 190 1.1× 146 1.2× 38 0.4× 15 1.8k
Zhenguo Lin United States 20 1.6k 2.9× 215 0.7× 78 0.5× 96 0.8× 112 1.3× 64 2.4k
Leandro Sastre Spain 20 708 1.3× 114 0.4× 81 0.5× 169 1.4× 58 0.7× 74 1.3k
Amardeep Kaur United States 17 812 1.5× 287 1.0× 108 0.6× 177 1.4× 33 0.4× 34 1.9k
Rafael E. Hernandez United States 14 618 1.1× 145 0.5× 50 0.3× 37 0.3× 22 0.2× 21 1.2k

Countries citing papers authored by Kathleen Sprouffske

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Sprouffske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Sprouffske

This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen Sprouffske. A scholar is included among the top collaborators of Kathleen Sprouffske 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 Kathleen Sprouffske. Kathleen Sprouffske 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
1.
Sprouffske, Kathleen, et al.. (2024). Emergence of a multilocus mutator genotype in mutator Escherichia coli experimental populations under repeated lethal selection. Journal of Evolutionary Biology. 37(3). 346–352. 3 indexed citations
2.
Mermet‐Meillon, Fanny, Judith Knehr, Ulrike Naumann, et al.. (2024). Protein destabilization underlies pathogenic missense mutations in ARID1B. Nature Structural & Molecular Biology. 31(7). 1018–1022. 4 indexed citations
3.
Sprouffske, Kathleen, Gráinne Kerr, Anirudh Prahallad, et al.. (2020). Genetic heterogeneity and clonal evolution during metastasis in breast cancer patient-derived tumor xenograft models. Computational and Structural Biotechnology Journal. 18. 323–331. 21 indexed citations
4.
Merlo, Lauren M.F., Kathleen Sprouffske, Aleah F. Caulin, et al.. (2020). Application of simultaneous selective pressures slows adaptation. Evolutionary Applications. 13(7). 1615–1625. 3 indexed citations
5.
Sprouffske, Kathleen. (2020). Simple Metrics to Summarize Growth Curves [R package growthcurver version 0.3.1]. 3 indexed citations
6.
Gaulis, Swann, Rui Lopes, Kathleen Sprouffske, et al.. (2019). PAX8 activates metabolic genes via enhancer elements in Renal Cell Carcinoma. Nature Communications. 10(1). 3739–3739. 43 indexed citations
7.
Sprouffske, Kathleen, José Aguilar-Rodríguez, Paul Sniegowski, & Andreas Wagner. (2018). High mutation rates limit evolutionary adaptation in Escherichia coli. PLoS Genetics. 14(4). e1007324–e1007324. 72 indexed citations
8.
Sprouffske, Kathleen, et al.. (2018). Assessing the benefits of horizontal gene transfer by laboratory evolution and genome sequencing. BMC Evolutionary Biology. 18(1). 54–54. 28 indexed citations
9.
Sprouffske, Kathleen, et al.. (2017). Effect of Population Size and Mutation Rate on the Evolution of RNA Sequences on an Adaptive Landscape Determined by RNA Folding. International Journal of Biological Sciences. 13(9). 1138–1151. 6 indexed citations
10.
Sprouffske, Kathleen, et al.. (2017). The role of recombination in evolutionary adaptation of Escherichia coli to a novel nutrient. Journal of Evolutionary Biology. 30(9). 1692–1711. 6 indexed citations
11.
Sprouffske, Kathleen & Andreas Wagner. (2016). Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves. BMC Bioinformatics. 17(1). 172–172. 543 indexed citations breakdown →
12.
Sprouffske, Kathleen. (2015). Simple Metrics to Summarize Growth Curves. 1 indexed citations
13.
Roche, Benjamín, et al.. (2012). Peto's paradox revisited: theoretical evolutionary dynamics of cancer in wild populations. Evolutionary Applications. 6(1). 109–116. 20 indexed citations
14.
Sprouffske, Kathleen, Athena Aktipis, Jerald P. Radich, et al.. (2012). An evolutionary explanation for the presence of cancer nonstem cells in neoplasms. Evolutionary Applications. 6(1). 92–101. 25 indexed citations
15.
Sprouffske, Kathleen, Lauren M.F. Merlo, Philip J. Gerrish, Carlo C. Maley, & Paul Sniegowski. (2012). Cancer in Light of Experimental Evolution. Current Biology. 22(17). R762–R771. 70 indexed citations
16.
Sprouffske, Kathleen, John W. Pepper, & Carlo C. Maley. (2011). Accurate Reconstruction of the Temporal Order of Mutations in Neoplastic Progression. Cancer Prevention Research. 4(7). 1135–1144. 45 indexed citations
17.
Chen, Jun, Kathleen Sprouffske, Qihong Huang, & Carlo C. Maley. (2011). Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms. PLoS ONE. 6(4). e17933–e17933. 50 indexed citations
18.
Pepper, John W., Kathleen Sprouffske, & Carlo C. Maley. (2007). Animal Cell Differentiation Patterns Suppress Somatic Evolution. PLoS Computational Biology. 3(12). e250–e250. 53 indexed citations
19.
Pepper, John W., Kathleen Sprouffske, & Carlo C. Maley. (2005). Animal Cell Differentiation Patterns Suppress Somatic Evolution. PLoS Computational Biology. preprint(2007). e250–e250. 1 indexed citations
20.
Tovar, Kenneth R., Kathleen Sprouffske, & Gary L. Westbrook. (2000). Fast NMDA Receptor–Mediated Synaptic Currents in Neurons From Mice Lacking the ε2 (NR2B) Subunit. Journal of Neurophysiology. 83(1). 616–620. 60 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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