Lorin Crawford

2.0k total citations · 1 hit paper
39 papers, 599 citations indexed

About

Lorin Crawford is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Lorin Crawford has authored 39 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Genetics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Lorin Crawford's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Associations and Epidemiology (10 papers). Lorin Crawford is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Genetic Associations and Epidemiology (10 papers). Lorin Crawford collaborates with scholars based in United States, United Kingdom and Brazil. Lorin Crawford's co-authors include Daniel E. Runcie, Sayan Mukherjee, Xiang Zhou, Kris C. Wood, Ping Zeng, Peter Winter, Grace R. Anderson, Merve Çakır, Ryan S. Soderquist and Hao Cheng and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of the American Statistical Association.

In The Last Decade

Lorin Crawford

38 papers receiving 595 citations

Hit Papers

align trajectories

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.

Zero-shot evaluation reveals limitations of single-cell foundation models

2025 18 citations Lorin Crawford et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lorin Crawford United States	14	304	175	74	63	61	39	599
Natalja Kurbatova United Kingdom	7	530 1.7×	67 0.4×	33 0.4×	90 1.4×	49 0.8×	11	679
Maria Keays United Kingdom	5	457 1.5×	65 0.4×	32 0.4×	37 0.6×	77 1.3×	5	617
Adam Faulconbridge United Kingdom	8	335 1.1×	109 0.6×	22 0.3×	64 1.0×	62 1.0×	12	564
Andrew Tikhonov United Kingdom	4	519 1.7×	62 0.4×	36 0.5×	41 0.7×	62 1.0×	5	686
Aleksandar Stojmirović United States	11	361 1.2×	140 0.8×	65 0.9×	92 1.5×	13 0.2×	25	675
Nicholas P. Gauthier United States	12	510 1.7×	92 0.5×	60 0.8×	42 0.7×	14 0.2×	19	655
Edwin E. Jeng United States	8	793 2.6×	83 0.5×	133 1.8×	88 1.4×	31 0.5×	17	973
Albert Xu United States	8	802 2.6×	147 0.8×	71 1.0×	25 0.4×	44 0.7×	18	928
Dan Tenenbaum United States	5	592 1.9×	66 0.4×	35 0.5×	28 0.4×	44 0.7×	8	788
Wassim Abou-Jaoudé France	11	491 1.6×	41 0.2×	88 1.2×	69 1.1×	35 0.6×	19	638

Countries citing papers authored by Lorin Crawford

Since Specialization

Citations

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

Fields of papers citing papers by Lorin Crawford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorin Crawford

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Crawford, Lorin, et al.. (2024). Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform. Journal of the American Statistical Association. 120(549). 498–510. 2 indexed citations

Wrobel, Julia, Lorin Crawford, Lucy D’Agostino McGowan, et al.. (2024). Partnering With Authors to Enhance Reproducibility at JASA. Journal of the American Statistical Association. 119(546). 795–797. 3 indexed citations

Smith, Samuel Pattillo, et al.. (2024). Discovering non-additive heritability using additive GWAS summary statistics. eLife. 13. 3 indexed citations

Chaguza, Chrispin, David Ferguson, Wade L. Schulz, et al.. (2024). Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections. PLoS Computational Biology. 20(9). e1012469–e1012469. 1 indexed citations

DenAdel, Alan, et al.. (2023). Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies. G3 Genes Genomes Genetics. 13(8). 7 indexed citations

Cheng, Wei, Sohini Ramachandran, & Lorin Crawford. (2022). Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networks. iScience. 25(7). 104553–104553. 3 indexed citations

Smith, Samuel Pattillo, Wei Cheng, Misa Graff, et al.. (2022). Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries. The American Journal of Human Genetics. 109(5). 871–884. 9 indexed citations

Wang, Bruce, et al.. (2021). A statistical pipeline for identifying physical features that differentiate classes of 3D shapes. The Annals of Applied Statistics. 15(2). 12 indexed citations

Crawford, Lorin. (2021). At the intersection of machine learning, biology, and health: an interview with Lorin Crawford. Communications Biology. 4(1). 32–32.

10.

Demetçi, Pınar, et al.. (2021). Multi-scale inference of genetic trait architecture using biologically annotated neural networks. PLoS Genetics. 17(8). e1009754–e1009754. 16 indexed citations

11.

Kamariza, Mireille, Lorin Crawford, David S. Jones, & Hilary K. Finucane. (2021). Misuse of the term ‘trans-ethnic’ in genomics research. Nature Genetics. 53(11). 1520–1521. 7 indexed citations

12.

Runcie, Daniel E., et al.. (2021). MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits. Genome biology. 22(1). 213–213. 45 indexed citations

13.

Baca, Yasmine, Joanne Xiu, Fábio Távora, et al.. (2020). The Landscape of Glycogen Synthase Kinase-3 Beta Genomic Alterations in Cancer. Molecular Cancer Therapeutics. 20(1). 183–190. 12 indexed citations

14.

Lin, Kevin, Justine C. Rutter, Abigail Xie, et al.. (2020). Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer. Nature Genetics. 52(4). 408–417. 39 indexed citations

15.

Sadick, Jessica S., et al.. (2020). Generating Cell Type-Specific Protein Signatures from Non-symptomatic and Diseased Tissues. Annals of Biomedical Engineering. 48(8). 2218–2232. 1 indexed citations

16.

Crawford, Lorin, et al.. (2019). Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis. Figshare. 13 indexed citations

17.

Runcie, Daniel E. & Lorin Crawford. (2019). Fast and flexible linear mixed models for genome-wide genetics. PLoS Genetics. 15(2). e1007978–e1007978. 40 indexed citations

18.

Soderquist, Ryan S., Lorin Crawford, Esther Liu, et al.. (2018). Systematic mapping of BCL-2 gene dependencies in cancer reveals molecular determinants of BH3 mimetic sensitivity. Nature Communications. 9(1). 3513–3513. 90 indexed citations

19.

Crawford, Lorin, et al.. (2016). Functional Data Analysis using a Topological Summary Statistic: the Smooth Euler Characteristic Transform. arXiv (Cornell University). 6 indexed citations

20.

Crawford, Lorin, et al.. (2016). Topological Summaries of Tumor Images Improve Prediction of Disease Free Survival in Glioblastoma Multiforme. arXiv (Cornell University). 4 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.

Explore authors with similar magnitude of impact