Caleb Trujillo

639 total citations · 1 hit paper
16 papers, 478 citations indexed

About

Caleb Trujillo is a scholar working on Education, Molecular Biology and Developmental and Educational Psychology. According to data from OpenAlex, Caleb Trujillo has authored 16 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 5 papers in Molecular Biology and 4 papers in Developmental and Educational Psychology. Recurrent topics in Caleb Trujillo's work include Science Education and Pedagogy (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Innovative Teaching Methods (3 papers). Caleb Trujillo is often cited by papers focused on Science Education and Pedagogy (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Innovative Teaching Methods (3 papers). Caleb Trujillo collaborates with scholars based in United States. Caleb Trujillo's co-authors include Tammy M. Long, Nancy Pelaez, Trevor R. Anderson, Tin Tin Su, Michelle K. Smith, Kathryn E. Perez, Donald P. French, Rebecca Price, Gregory K. Davis and Michael W. Klymkowsky and has published in prestigious journals such as PLoS ONE, Science Advances and Journal of Clinical Gastroenterology.

In The Last Decade

Caleb Trujillo

15 papers receiving 460 citations

Hit Papers

Document co-citation analysis to enhance transdisciplinar... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Document co-citation analysis to enhance transdisciplinary research
    2018 247 citations Caleb Trujillo, Tammy M. Long Science Advances profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caleb Trujillo United States 9 164 61 46 43 41 16 478
W. Monty Jones United States 16 292 1.8× 50 0.8× 111 2.4× 18 0.4× 42 1.0× 35 713
Stephen Crowley United States 10 47 0.3× 13 0.2× 18 0.4× 24 0.6× 109 2.7× 21 421
Jing Lin China 18 461 2.8× 16 0.3× 214 4.7× 46 1.1× 30 0.7× 57 901
Werner Rieß Germany 16 543 3.3× 14 0.2× 153 3.3× 53 1.2× 84 2.0× 51 808
National Research Council 11 669 4.1× 44 0.7× 353 7.7× 103 2.4× 71 1.7× 25 1.3k
Ian Taylor United Kingdom 6 290 1.8× 8 0.1× 163 3.5× 47 1.1× 48 1.2× 8 468
Beth A. Covitt United States 11 403 2.5× 13 0.2× 171 3.7× 67 1.6× 78 1.9× 30 570
William Morris United States 14 45 0.3× 21 0.3× 22 0.5× 47 1.1× 124 3.0× 56 915
Alan Adams United Kingdom 3 313 1.9× 14 0.2× 172 3.7× 30 0.7× 53 1.3× 4 525
Yuxin Ma United States 11 121 0.7× 44 0.7× 86 1.9× 20 0.5× 27 0.7× 31 428

Countries citing papers authored by Caleb Trujillo

Since Specialization
Citations

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

Fields of papers citing papers by Caleb Trujillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caleb Trujillo

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

All Works

16 of 16 papers shown
1.
Trujillo, Caleb & Shuchismita Dutta. (2024). Molecular storytelling: a conceptual framework for teaching and learning with molecular case studies. Frontiers in Education. 9. 1 indexed citations
2.
Trujillo, Caleb, et al.. (2021). Interactive Qualitative Data Visualization for Educational Assessment. 1–9. 4 indexed citations
3.
Schwarz, Christina V., et al.. (2020). Mechanistic Explanations Across Undergraduate Chemistry and Biology Courses.. International Conference of Learning Sciences. 1. 2 indexed citations
4.
Emery, Nathan, Caleb Trujillo, Andrew M. Jarosz, & Tammy M. Long. (2019). Quantifying and Visualizing Campus Tree Phenology. CourseSource. 6. 1 indexed citations
5.
Trujillo, Caleb & Tammy M. Long. (2018). Document co-citation analysis to enhance transdisciplinary research. Science Advances. 4(1). e1701130–e1701130. 247 indexed citations breakdown →
6.
Trujillo, Caleb, Trevor R. Anderson, & Nancy Pelaez. (2016). Exploring the MACH Model’s Potential as a Metacognitive Tool to Help Undergraduate Students Monitor Their Explanations of Biological Mechanisms. CBE—Life Sciences Education. 15(2). ar12–ar12. 11 indexed citations
7.
Trujillo, Caleb, Trevor R. Anderson, & Nancy Pelaez. (2016). An instructional design process based on expert knowledge for teaching students how mechanisms are explained. AJP Advances in Physiology Education. 40(2). 265–273. 8 indexed citations
8.
Trujillo, Caleb, Trevor R. Anderson, & Nancy Pelaez. (2015). A Model of How Different Biology Experts Explain Molecular and Cellular Mechanisms. CBE—Life Sciences Education. 14(2). ar20–ar20. 94 indexed citations
9.
Trujillo, Caleb, Trevor R. Anderson, & Nancy Pelaez. (2014). An Activity Aimed at Improving Student Explanations of Biological Mechanisms. Journal of Clinical Gastroenterology. 55(7). 609–614. 1 indexed citations
10.
Trujillo, Caleb, Trevor R. Anderson, & Nancy Pelaez. (2014). A Tetrahedral Version of the MACH Model for Explaining Biological Mechanisms. Purdue e-Pubs (Purdue University System). 2 indexed citations
11.
Davis, Gregory K., et al.. (2013). Getting to Evo-Devo: Concepts and Challenges for Students Learning Evolutionary Developmental Biology. CBE—Life Sciences Education. 12(3). 494–508. 22 indexed citations
12.
Perez, Kathryn E., et al.. (2013). The EvoDevoCI: A Concept Inventory for Gauging Students’ Understanding of Evolutionary Developmental Biology. CBE—Life Sciences Education. 12(4). 665–675. 30 indexed citations
13.
Trujillo, Caleb, Melanie M. Cooper, & Michael W. Klymkowsky. (2012). Using graph‐based assessments within socratic tutorials to reveal and refine students' analytical thinking about molecular networks. Biochemistry and Molecular Biology Education. 40(2). 100–107. 8 indexed citations
14.
Zhang, Yuqing, Yifan Yang, Caleb Trujillo, Wenxuan Zhong, & Yuk Fai Leung. (2012). The Expression of irx7 in the Inner Nuclear Layer of Zebrafish Retina Is Essential for a Proper Retinal Development and Lamination. PLoS ONE. 7(4). e36145–e36145. 11 indexed citations
15.
Smith, Michelle K., Caleb Trujillo, & Tin Tin Su. (2011). The Benefits of Using Clickers in Small-Enrollment Seminar-Style Biology Courses. CBE—Life Sciences Education. 10(1). 14–17. 30 indexed citations
16.
Velasco, Luz Adriana, et al.. (2010). State of shellfish aquaculture on the Caribbean coast of Colombia and potential site for a regional hatchery facility.. 119–132. 6 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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