Mary Ellen Wiltrout

787 total citations
15 papers, 597 citations indexed

About

Mary Ellen Wiltrout is a scholar working on Computer Science Applications, Education and Molecular Biology. According to data from OpenAlex, Mary Ellen Wiltrout has authored 15 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 8 papers in Education and 3 papers in Molecular Biology. Recurrent topics in Mary Ellen Wiltrout's work include Online Learning and Analytics (10 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Mary Ellen Wiltrout is often cited by papers focused on Online Learning and Analytics (10 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Mary Ellen Wiltrout collaborates with scholars based in United States, Spain and Israel. Mary Ellen Wiltrout's co-authors include Graham C. Walker, Sanjay D’Souza, Brenda K. Minesinger, L. Waters, Giora Alexandron, José A. Ruipérez‐Valiente, Jonathan A. Lukin, Nancy T. Ho, Chien Ho and Virgil Simplăceanu and has published in prestigious journals such as Biochemistry, Genetics and Microbiology and Molecular Biology Reviews.

In The Last Decade

Mary Ellen Wiltrout

12 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Ellen Wiltrout United States 8 505 160 78 66 64 15 597
Mehmet Demir United Kingdom 8 589 1.2× 73 0.5× 115 1.5× 72 1.1× 45 0.7× 23 705
Muriel Grenon Ireland 16 919 1.8× 202 1.3× 226 2.9× 135 2.0× 63 1.0× 29 1.0k
Hélène Hagège France 8 591 1.2× 115 0.7× 64 0.8× 21 0.3× 162 2.5× 23 758
Scott D. Findlay Canada 10 201 0.4× 70 0.4× 102 1.3× 21 0.3× 34 0.5× 15 362
Robert A. Baldock United Kingdom 10 585 1.2× 59 0.4× 176 2.3× 39 0.6× 60 0.9× 21 667
William J. Welch United States 5 328 0.6× 31 0.2× 93 1.2× 81 1.2× 15 0.2× 7 418
Alder Yu United States 6 355 0.7× 59 0.4× 75 1.0× 28 0.4× 44 0.7× 10 409
Chuanxia Zhang China 10 316 0.6× 88 0.6× 53 0.7× 27 0.4× 10 0.2× 18 443
Raffaella Diotti United States 7 227 0.4× 45 0.3× 38 0.5× 17 0.3× 82 1.3× 9 338
Carolyn Church Landel United States 11 809 1.6× 18 0.1× 33 0.4× 27 0.4× 158 2.5× 14 967

Countries citing papers authored by Mary Ellen Wiltrout

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ellen Wiltrout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ellen Wiltrout. 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 Mary Ellen Wiltrout. The network helps show where Mary Ellen Wiltrout may publish in the future.

Co-authorship network of co-authors of Mary Ellen Wiltrout

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

All Works

15 of 15 papers shown
1.
2.
Alexandron, Giora, et al.. (2022). The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs. Journal of Computer Assisted Learning. 39(1). 141–153. 10 indexed citations
3.
Wiltrout, Mary Ellen, et al.. (2022). A Framework for Revision of MOOC Formative Assessments. 151–154.
4.
Wiltrout, Mary Ellen, et al.. (2021). Learning Engineering @ Scale. 5–7. 4 indexed citations
5.
Wiltrout, Mary Ellen, et al.. (2021). Learning During COVID-19. publish.UP (University of Potsdam). 1 indexed citations
6.
Wiltrout, Mary Ellen, et al.. (2021). A Framework for Applying the Learning Sciences to MOOC Design. Frontiers in Education. 5. 10 indexed citations
7.
Sandland, Jessica & Mary Ellen Wiltrout. (2020). The Digital Learning Laboratory Model to Catalyze Change in University Teaching and Learning. RiuNet (Politechnical University of Valencia). 1 indexed citations
8.
Alexandron, Giora, et al.. (2020). Assessment that matters. 512–517. 19 indexed citations
9.
Wiltrout, Mary Ellen, et al.. (2020). Impact of Course Delivery Mode on Learner Engagement in MOOCs. 68–72. 5 indexed citations
11.
Wiltrout, Mary Ellen, et al.. (2017). Criteria for Video Engagement in a Biology MOOC. 291–294. 8 indexed citations
12.
Wiltrout, Mary Ellen & Graham C. Walker. (2011). Proteasomal regulation of the mutagenic translesion DNA polymerase, Saccharomyces cerevisiae Rev1. DNA repair. 10(2). 169–175. 15 indexed citations
13.
Wiltrout, Mary Ellen & Graham C. Walker. (2010). The DNA Polymerase Activity ofSaccharomyces cerevisiaeRev1 is Biologically Significant. Genetics. 187(1). 21–35. 42 indexed citations
14.
Waters, L., et al.. (2009). Eukaryotic Translesion Polymerases and Their Roles and Regulation in DNA Damage Tolerance. Microbiology and Molecular Biology Reviews. 73(1). 134–154. 465 indexed citations
15.
Wiltrout, Mary Ellen, et al.. (2005). A Biophysical Investigation of Recombinant Hemoglobins with Aromatic B10 Mutations in the Distal Heme Pockets,. Biochemistry. 44(19). 7207–7217. 17 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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