Silas Tittes

1.5k total citations
18 papers, 382 citations indexed

About

Silas Tittes is a scholar working on Genetics, Ecology and Plant Science. According to data from OpenAlex, Silas Tittes has authored 18 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Silas Tittes's work include Genetic diversity and population structure (7 papers), Evolution and Genetic Dynamics (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Silas Tittes is often cited by papers focused on Genetic diversity and population structure (7 papers), Evolution and Genetic Dynamics (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Silas Tittes collaborates with scholars based in United States, France and Mexico. Silas Tittes's co-authors include Nolan C. Kane, Steven J. Franks, Niamh B. O’Hara, Daniela Vergara, Joshua S. Rest, Chris C. R. Smith, Ryan C. Lynch, Travis C. Ruthenburg, Christopher Schwartz and Seema N. Sheth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Silas Tittes

17 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silas Tittes United States	9	167	119	97	90	90	18	382
Mitchell E. McGlaughlin United States	13	203 1.2×	80 0.7×	168 1.7×	78 0.9×	181 2.0×	35	398
Patrícia Sanae Sujii Brazil	10	138 0.8×	62 0.5×	95 1.0×	81 0.9×	99 1.1×	25	299
Yong‐Mei Xia China	11	283 1.7×	53 0.4×	97 1.0×	242 2.7×	196 2.2×	19	571
Jérôme Degreef Belgium	12	272 1.6×	123 1.0×	26 0.3×	50 0.6×	147 1.6×	35	429
Sarina Veldman Netherlands	9	194 1.2×	53 0.4×	25 0.3×	133 1.5×	205 2.3×	10	406
Moses C. Wambulwa China	12	131 0.8×	14 0.1×	165 1.7×	172 1.9×	131 1.5×	27	509
Franck Rakotonasolo Madagascar	10	133 0.8×	76 0.6×	30 0.3×	109 1.2×	144 1.6×	26	335
Alexey Shipunov United States	14	418 2.5×	42 0.4×	146 1.5×	220 2.4×	466 5.2×	45	746
Peng‐Cheng Fu China	15	152 0.9×	31 0.3×	183 1.9×	379 4.2×	252 2.8×	42	529
Baharul I. Choudhury Canada	12	198 1.2×	12 0.1×	128 1.3×	120 1.3×	49 0.5×	21	362

Countries citing papers authored by Silas Tittes

Since Specialization

Citations

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

Fields of papers citing papers by Silas Tittes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silas Tittes

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

All Works

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18 of 18 papers shown

Tittes, Silas, Scott T. Small, Denise M. Piscopo, et al.. (2025). Cephalopod sex determination and its ancient evolutionary origin. Current Biology. 35(4). 931–939.e4. 2 indexed citations

Champer, Samuel E., Benjamin C. Haller, Chris C. R. Smith, et al.. (2025). Population Genetics Meets Ecology: A Guide to Individual‐Based Simulations in Continuous Landscapes. Ecology and Evolution. 15(4). e71098–e71098. 4 indexed citations

Johnson, Stephen E., Silas Tittes, & Steven J. Franks. (2023). Rapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought. Journal of Evolutionary Biology. 36(3). 550–562. 3 indexed citations

Smith, Chris C. R., Silas Tittes, Peter L. Ralph, & Andrew D. Kern. (2023). Dispersal inference from population genetic variation using a convolutional neural network. Genetics. 224(2). 24 indexed citations

Tittes, Silas, Christopher Weiss‐Lehman, Nolan C. Kane, et al.. (2023). Evolution is more repeatable in the introduction than range expansion phase of colonization. Evolution Letters. 8(3). 351–360.

Tittes, Silas, Anne Lorant, Sean McGinty, et al.. (2023). The population genetics of convergent adaptation in maize and teosinte is not locally restricted. eLife. 12. 5 indexed citations

O’Hara, Niamh B., Steven J. Franks, Nolan C. Kane, Silas Tittes, & Joshua S. Rest. (2021). Evolution of pathogen response genes associated with increased disease susceptibility during adaptation to an extreme drought in a Brassica rapa plant population. SHILAP Revista de lepidopterología. 21(1). 61–61. 4 indexed citations

Comeault, Aaron A., Jeremy Wang, Silas Tittes, et al.. (2020). Genetic Diversity and Thermal Performance in Invasive and Native Populations of African Fig Flies. Molecular Biology and Evolution. 37(7). 1893–1906. 25 indexed citations

Wooliver, Rachel, Silas Tittes, & Seema N. Sheth. (2020). A resurrection study reveals limited evolution of thermal performance in response to recent climate change across the geographic range of the scarlet monkeyflower. Evolution. 74(8). 1699–1710. 27 indexed citations

10.

Tittes, Silas. (2020). rdmc: An Open Source R Package Implementing Convergent Adaptation Models of Lee and Coop (2017). G3 Genes Genomes Genetics. 10(9). 3041–3046. 3 indexed citations

11.

Weiss‐Lehman, Christopher, Silas Tittes, Nolan C. Kane, Ruth A. Hufbauer, & Brett A. Melbourne. (2019). Stochastic processes drive rapid genomic divergence during experimental range expansions. Proceedings of the Royal Society B Biological Sciences. 286(1900). 20190231–20190231. 11 indexed citations

12.

Carscadden, Kelly A., et al.. (2019). Building Bridges: An Active Learning Lesson in Evolution and Collaboration. Journal of College Science Teaching. 48(5). 46–58. 1 indexed citations

13.

Tittes, Silas, et al.. (2019). Grow Where You Thrive, or Where Only You Can Survive? An Analysis of Performance Curve Evolution in a Clade with Diverse Habitat Affinities. The American Naturalist. 193(4). 530–544. 18 indexed citations

14.

Smith, Chris C. R., et al.. (2018). Genetics of alternative splicing evolution during sunflower domestication. Proceedings of the National Academy of Sciences. 115(26). 6768–6773. 30 indexed citations

15.

Kane, Nolan C., et al.. (2018). Genetic Architecture of Capitate Glandular Trichome Density in Florets of Domesticated Sunflower (Helianthus annuus L.). Frontiers in Plant Science. 8. 2227–2227. 7 indexed citations

16.

Lynch, Ryan C., Daniela Vergara, Silas Tittes, et al.. (2016). Genomic and Chemical Diversity in Cannabis. Critical Reviews in Plant Sciences. 35(5-6). 349–363. 104 indexed citations

17.

Franks, Steven J., Nolan C. Kane, Niamh B. O’Hara, Silas Tittes, & Joshua S. Rest. (2016). Rapid genome‐wide evolution in Brassica rapa populations following drought revealed by sequencing of ancestral and descendant gene pools. Molecular Ecology. 25(15). 3622–3631. 73 indexed citations

18.

Vergara, Daniela, et al.. (2016). Genetic and Genomic Tools forCannabis sativa. Critical Reviews in Plant Sciences. 35(5-6). 364–377. 41 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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