Shane Lofgren

2.5k total citations
13 papers, 693 citations indexed

About

Shane Lofgren is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Shane Lofgren has authored 13 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Shane Lofgren's work include Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). Shane Lofgren is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). Shane Lofgren collaborates with scholars based in United States, Canada and Netherlands. Shane Lofgren's co-authors include Purvesh Khatri, Francesco Vallania, Winston Haynes, Mark M. Davis, Erika Bongen, Aurelie Tomczak, Andrew Tam, Charles Y. Liu, Timothy E. Sweeney and Ton N. Schumacher and has published in prestigious journals such as Cell, Nature Communications and Genes & Development.

In The Last Decade

Shane Lofgren

12 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shane Lofgren United States 9 377 233 162 60 60 13 693
Tomonori Higuchi Japan 13 250 0.7× 134 0.6× 205 1.3× 52 0.9× 5 0.1× 27 560
Yingming Jiang China 13 407 1.1× 353 1.5× 212 1.3× 112 1.9× 4 0.1× 23 810
Andreas Kloetgen United States 18 1.2k 3.2× 207 0.9× 164 1.0× 314 5.2× 8 0.1× 30 1.5k
Kenneth Ban Singapore 14 637 1.7× 36 0.2× 172 1.1× 87 1.4× 19 0.3× 27 872
Deepika Ahuja United States 11 497 1.3× 104 0.4× 313 1.9× 106 1.8× 3 0.1× 18 847
Amy Goodale United States 9 664 1.8× 80 0.3× 159 1.0× 109 1.8× 4 0.1× 16 861
Mariana Boroni Brazil 15 340 0.9× 93 0.4× 75 0.5× 95 1.6× 4 0.1× 29 545
Julie M. Lowe United States 10 362 1.0× 151 0.6× 211 1.3× 142 2.4× 3 0.1× 11 581
Justin S. Becker United States 11 975 2.6× 58 0.2× 59 0.4× 70 1.2× 23 0.4× 12 1.2k
Upneet K. Sokhi United States 13 327 0.9× 157 0.7× 107 0.7× 112 1.9× 2 0.0× 21 572

Countries citing papers authored by Shane Lofgren

Since Specialization
Citations

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

Fields of papers citing papers by Shane Lofgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Lofgren

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

All Works

13 of 13 papers shown
2.
Garcia, Alvaro, Sean M. Carroll, John Avera, et al.. (2024). Inverting the Drug Discovery Funnel: In Vivo First Screening for mAb Blood-brain Barrier Penetration Yields Molecules with Novel Uptake Properties (P8-4.007). Neurology. 102(7_supplement_1). 1 indexed citations
3.
Lu, Xiaoyin, Shane Lofgren, Yuehui Zhao, & Paweł K. Mazur. (2023). Multiplexed transcriptomic profiling of the fate of human CAR T cells in vivo via genetic barcoding with shielded small nucleotides. Nature Biomedical Engineering. 7(9). 1170–1187. 4 indexed citations
4.
Lofgren, Shane, Roberta Gonçalves Marangoni, Jungwha Lee, et al.. (2020). High-throughput quantitative histology in systemic sclerosis skin disease using computer vision. Arthritis Research & Therapy. 22(1). 48–48. 8 indexed citations
5.
Vallania, Francesco, Andrew Tam, Shane Lofgren, et al.. (2018). Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases. Nature Communications. 9(1). 4735–4735. 100 indexed citations
6.
Tomczak, Aurelie, Jonathan Mortensen, Rainer Winnenburg, et al.. (2018). Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations. Scientific Reports. 8(1). 5115–5115. 98 indexed citations
7.
Sweeney, Timothy E., Shane Lofgren, Purvesh Khatri, & Angela J. Rogers. (2017). Gene Expression Analysis to Assess the Relevance of Rodent Models to Human Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 57(2). 184–192. 17 indexed citations
8.
Gee, Marvin H., Arnold Han, Shane Lofgren, et al.. (2017). Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell. 172(3). 549–563.e16. 193 indexed citations
9.
Reynoird, Nicolas, Paweł K. Mazur, Timo Stellfeld, et al.. (2016). Coordination of stress signals by the lysine methyltransferase SMYD2 promotes pancreatic cancer. Genes & Development. 30(7). 772–785. 64 indexed citations
10.
Lofgren, Shane, Monique Hinchcliff, Mary Carns, et al.. (2016). Integrated, multicohort analysis of systemic sclerosis identifies robust transcriptional signature of disease severity. JCI Insight. 1(21). e89073–e89073. 50 indexed citations
11.
Haynes, Winston, Francesco Vallania, Charles Y. Liu, et al.. (2016). EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY. PubMed. 22. 144–153. 77 indexed citations
12.
Scranton, Melissa A., Joseph T. Ostrand, D. Ryan Georgianna, et al.. (2016). Synthetic promoters capable of driving robust nuclear gene expression in the green alga Chlamydomonas reinhardtii. Algal Research. 15. 135–142. 73 indexed citations
13.
Guo, Jun‐tao, Shane Lofgren, & Alvin Farrel. (2014). Structure-based prediction of transcription factor binding sites. Tsinghua Science & Technology. 19(6). 568–577. 8 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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