Gena C. Sbeglia

1.4k total citations · 1 hit paper
17 papers, 981 citations indexed

About

Gena C. Sbeglia is a scholar working on Social Psychology, History and Philosophy of Science and Sociology and Political Science. According to data from OpenAlex, Gena C. Sbeglia has authored 17 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 8 papers in History and Philosophy of Science and 3 papers in Sociology and Political Science. Recurrent topics in Gena C. Sbeglia's work include Evolution and Science Education (8 papers), Animal and Plant Science Education (6 papers) and Educational Strategies and Epistemologies (3 papers). Gena C. Sbeglia is often cited by papers focused on Evolution and Science Education (8 papers), Animal and Plant Science Education (6 papers) and Educational Strategies and Epistemologies (3 papers). Gena C. Sbeglia collaborates with scholars based in United States, Australia and Germany. Gena C. Sbeglia's co-authors include Caitlin J. Karanewsky, Xia Hua, Abigail Cahill, M. Caitlin Fisher‐Reid, Fabrizio Spagnolo, John J. Wiens, Matthew E. Aiello‐Lammens, Ross H. Nehm, Omar Warsi and Stephen J. Finch and has published in prestigious journals such as Evolution, Proceedings of the Royal Society B Biological Sciences and BioScience.

In The Last Decade

Gena C. Sbeglia

17 papers receiving 953 citations

Hit Papers

How does climate change cause extinction? 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gena C. Sbeglia United States 11 451 413 279 255 228 17 981
Hanno Sandvik Norway 18 125 0.3× 649 1.6× 145 0.5× 187 0.7× 360 1.6× 41 973
Frank N. Egerton United States 17 108 0.2× 237 0.6× 226 0.8× 248 1.0× 165 0.7× 105 1.1k
Benoît Fontaine France 18 381 0.8× 736 1.8× 406 1.5× 546 2.1× 283 1.2× 36 1.6k
Maureen Kearney United States 19 136 0.3× 184 0.4× 544 1.9× 482 1.9× 906 4.0× 31 1.7k
John Clare United States 15 267 0.6× 504 1.2× 136 0.5× 90 0.4× 109 0.5× 61 885
Shawan Chowdhury Australia 16 226 0.5× 154 0.4× 124 0.4× 211 0.8× 84 0.4× 30 684
Alfredo Sánchez‐Tójar Germany 15 115 0.3× 315 0.8× 139 0.5× 469 1.8× 104 0.5× 39 1.0k
Haldre S. Rogers United States 24 361 0.8× 783 1.9× 1.0k 3.8× 925 3.6× 360 1.6× 54 1.9k
Robert E. Simmons South Africa 24 276 0.6× 1.3k 3.1× 437 1.6× 612 2.4× 156 0.7× 90 1.7k
Shannon M. Murphy United States 21 93 0.2× 500 1.2× 386 1.4× 738 2.9× 270 1.2× 71 1.6k

Countries citing papers authored by Gena C. Sbeglia

Since Specialization
Citations

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

Fields of papers citing papers by Gena C. Sbeglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gena C. Sbeglia. 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 Gena C. Sbeglia. The network helps show where Gena C. Sbeglia may publish in the future.

Co-authorship network of co-authors of Gena C. Sbeglia

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

All Works

17 of 17 papers shown
2.
Nehm, Ross H., Stephen J. Finch, & Gena C. Sbeglia. (2022). Is Active Learning Enough? The Contributions of Misconception-Focused Instruction and Active-Learning Dosage on Student Learning of Evolution. BioScience. 72(11). 1105–1117. 17 indexed citations
3.
Sbeglia, Gena C. & Ross H. Nehm. (2022). Measuring evolution learning: impacts of student participation incentives and test timing. Evolution Education and Outreach. 15(1). 2 indexed citations
4.
Sbeglia, Gena C., et al.. (2021). Are Faculty Changing? How Reform Frameworks, Sampling Intensities, and Instrument Measures Impact Inferences about Student-Centered Teaching Practices. CBE—Life Sciences Education. 20(3). ar39–ar39. 11 indexed citations
5.
Sbeglia, Gena C., et al.. (2020). Measuring Belief in Genetic Determinism: A Psychometric Evaluation of the PUGGS Instrument. Science & Education. 29(6). 1621–1657. 6 indexed citations
6.
Sbeglia, Gena C. & Ross H. Nehm. (2020). Illuminating the complexities of conflict with evolution: validation of the scales of evolutionary conflict measure (SECM). Evolution Education and Outreach. 13(1). 23–23. 13 indexed citations
7.
Kinlock, Nicole L., Catherine M. Foley, Gena C. Sbeglia, & Ross H. Nehm. (2020). A Lesson on Matter and Energy at the Organismal Scale: Linking Patterns and Processes Across Diverse Taxa. CourseSource. 7. 1 indexed citations
8.
Fiedler, Daniela, Gena C. Sbeglia, Ross H. Nehm, & Ute Harms. (2019). How strongly does statistical reasoning influence knowledge and acceptance of evolution?. Journal of Research in Science Teaching. 56(9). 1183–1206. 30 indexed citations
9.
Sbeglia, Gena C., et al.. (2019). Do disciplinary contexts impact the learning of evolution? Assessing knowledge and misconceptions in anthropology and biology students. Evolution Education and Outreach. 12(1). 14 indexed citations
10.
Sbeglia, Gena C. & Ross H. Nehm. (2019). Do you see what I‐SEA? A Rasch analysis of the psychometric properties of the Inventory of Student Evolution Acceptance. Science Education. 103(2). 287–316. 35 indexed citations
11.
Sbeglia, Gena C. & Ross H. Nehm. (2018). Measuring evolution acceptance using the GAENE: influences of gender, race, degree-plan, and instruction. Evolution Education and Outreach. 11(1). 24 indexed citations
12.
Lauterbur, M. Elise, et al.. (2017). Primatology on the Pier: The 2016 joint meeting of the International Primatological Society and the American Society of Primatologists. Evolutionary Anthropology Issues News and Reviews. 26(1). 3–6. 1 indexed citations
13.
Sbeglia, Gena C., et al.. (2015). Clicker Score Trajectories and Concept Inventory Scores as Predictors for Early Warning Systems for Large STEM Classes. Journal of Science Education and Technology. 24(6). 848–860. 19 indexed citations
14.
Cahill, Abigail, Matthew E. Aiello‐Lammens, M. Caitlin Fisher‐Reid, et al.. (2013). Causes of warm‐edge range limits: systematic review, proximate factors and implications for climate change. Journal of Biogeography. 41(3). 429–442. 144 indexed citations
15.
Cahill, Abigail, Matthew E. Aiello‐Lammens, M. Caitlin Fisher‐Reid, et al.. (2012). How does climate change cause extinction?. Proceedings of the Royal Society B Biological Sciences. 280(1750). 20121890–20121890. 647 indexed citations breakdown →
16.
Sbeglia, Gena C., Zuleyma Tang‐Martínez, & Robert W. Sussman. (2010). Effects of food, proximity, and kinship on social behavior in ringtailed lemurs. American Journal of Primatology. 72(11). 981–991. 12 indexed citations
17.
Sbeglia, Gena C.. (2009). Patterns of affiliation and agonism in a ringtailed lemur, Lemur catta, society: Tests of the socioecological model and other hypotheses. 1 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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