Benjamin J. Lengerich

2.9k total citations
17 papers, 176 citations indexed

About

Benjamin J. Lengerich is a scholar working on Artificial Intelligence, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Benjamin J. Lengerich has authored 17 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Benjamin J. Lengerich's work include Pregnancy and preeclampsia studies (4 papers), Maternal and fetal healthcare (4 papers) and Trauma and Emergency Care Studies (4 papers). Benjamin J. Lengerich is often cited by papers focused on Pregnancy and preeclampsia studies (4 papers), Maternal and fetal healthcare (4 papers) and Trauma and Emergency Care Studies (4 papers). Benjamin J. Lengerich collaborates with scholars based in United States, United Kingdom and Germany. Benjamin J. Lengerich's co-authors include Bryon Aragam, Eric P. Xing, Haohan Wang, Rich Caruana, Philip Hanoian, Fanny Sunden, Vivienne Souter, Jason P. Schwans, Ian Painter and Yingssu Tsai and has published in prestigious journals such as Bioinformatics, Biochemistry and American Journal of Obstetrics and Gynecology.

In The Last Decade

Benjamin J. Lengerich

16 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin J. Lengerich United States 5 85 41 32 21 17 17 176
Li Hou China 8 101 1.2× 21 0.5× 44 1.4× 26 1.2× 23 1.4× 26 197
Juanjuan Fan United States 8 73 0.9× 12 0.3× 23 0.7× 4 0.2× 16 0.9× 11 233
Yingbo Huang United States 9 67 0.8× 22 0.5× 43 1.3× 3 0.1× 30 1.8× 19 210
Qingxiang Yan United States 6 99 1.2× 44 1.1× 52 1.6× 4 0.2× 36 2.1× 7 172
Haley Hunter-Zinck United States 4 49 0.6× 17 0.4× 31 1.0× 15 0.7× 19 1.1× 4 171
Zhuoran Xu United States 8 34 0.4× 11 0.3× 25 0.8× 53 2.5× 8 0.5× 13 210
Emily Kawaler United States 5 72 0.8× 15 0.4× 20 0.6× 19 0.9× 49 2.9× 13 141
Tyler Kolisnik Canada 5 61 0.7× 100 2.4× 59 1.8× 3 0.1× 30 1.8× 10 173
William Barcella United Kingdom 6 114 1.3× 17 0.4× 7 0.2× 32 1.5× 25 1.5× 10 215

Countries citing papers authored by Benjamin J. Lengerich

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Lengerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Lengerich. 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 Benjamin J. Lengerich. The network helps show where Benjamin J. Lengerich may publish in the future.

Co-authorship network of co-authors of Benjamin J. Lengerich

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin J. Lengerich. A scholar is included among the top collaborators of Benjamin J. Lengerich 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 Benjamin J. Lengerich. Benjamin J. Lengerich 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
1.
Hrovatin, Karin, Luke Zappia, Shrey Parikh, et al.. (2025). Integrating single-cell RNA-seq datasets with substantial batch effects. BMC Genomics. 26(1). 974–974. 2 indexed citations
2.
Lengerich, Benjamin J., et al.. (2024). Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population. American Journal of Obstetrics & Gynecology MFM. 6(8). 101391–101391. 4 indexed citations
3.
Lengerich, Benjamin J., et al.. (2024). Contextualized: Heterogeneous Modeling Toolbox. The Journal of Open Source Software. 9(97). 6469–6469.
4.
Lengerich, Benjamin J., et al.. (2023). Unique insights into risk factors for antepartum stillbirth using explainable AI. American Journal of Obstetrics and Gynecology. 228(1). S403–S404. 1 indexed citations
5.
Lengerich, Benjamin J., et al.. (2023). Understanding risk factors for shoulder dystocia using interpretable machine learning. American Journal of Obstetrics and Gynecology. 228(1). S753–S753. 2 indexed citations
6.
Lengerich, Benjamin J., et al.. (2023). Predicting severe maternal morbidity at admission for delivery using intelligible machine learning. American Journal of Obstetrics and Gynecology. 228(1). S404–S405. 3 indexed citations
7.
Xu, Zifei, Benjamin J. Lengerich, Harsha Nori, et al.. (2023). Preterm preeclampsia prediction using intelligible machine learning. American Journal of Obstetrics and Gynecology. 228(1). S409–S409. 1 indexed citations
8.
Lengerich, Benjamin J., et al.. (2023). Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes. PubMed. 8(1). 65–87. 4 indexed citations
9.
Lengerich, Benjamin J., et al.. (2022). Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study. Journal of Biomedical Informatics. 130. 104086–104086. 2 indexed citations
10.
Lengerich, Benjamin J., et al.. (2021). 1017 Insights into severe maternal morbidity in the NTSV population. American Journal of Obstetrics and Gynecology. 224(2). S629–S630. 1 indexed citations
11.
Lengerich, Benjamin J., et al.. (2021). 46 Length of labor and severe maternal morbidity in the NTSV population. American Journal of Obstetrics and Gynecology. 224(2). S33–S33. 1 indexed citations
12.
Lengerich, Benjamin J., Sarah Tan, Chun‐Hao Chang, Giles Hooker, & Rich Caruana. (2020). Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. International Conference on Artificial Intelligence and Statistics. 2402–2412. 3 indexed citations
13.
Lengerich, Benjamin J., Bryon Aragam, & Eric P. Xing. (2019). Learning Sample-Specific Models with Low-Rank Personalized Regression. arXiv (Cornell University). 32. 3570–3580. 4 indexed citations
14.
Lengerich, Benjamin J., Andrew L. Maas, & Christopher Potts. (2018). Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. arXiv (Cornell University). 2423–2436. 4 indexed citations
15.
Lengerich, Benjamin J., Bryon Aragam, & Eric P. Xing. (2018). Personalized regression enables sample-specific pan-cancer analysis. Bioinformatics. 34(13). i178–i186. 6 indexed citations
16.
Wang, Haohan, Benjamin J. Lengerich, Bryon Aragam, & Eric P. Xing. (2018). Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data. Bioinformatics. 35(7). 1181–1187. 123 indexed citations
17.
Schwans, Jason P., Philip Hanoian, Benjamin J. Lengerich, et al.. (2014). Experimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site. Biochemistry. 53(15). 2541–2555. 15 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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