Greg Finak

10.3k total citations · 3 hit papers
42 papers, 5.3k citations indexed

About

Greg Finak is a scholar working on Molecular Biology, Immunology and Biophysics. According to data from OpenAlex, Greg Finak has authored 42 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Biophysics. Recurrent topics in Greg Finak's work include Single-cell and spatial transcriptomics (20 papers), Gene expression and cancer classification (14 papers) and Cell Image Analysis Techniques (10 papers). Greg Finak is often cited by papers focused on Single-cell and spatial transcriptomics (20 papers), Gene expression and cancer classification (14 papers) and Cell Image Analysis Techniques (10 papers). Greg Finak collaborates with scholars based in United States, Canada and South Africa. Greg Finak's co-authors include Raphaël Gottardo, Andrew McDavid, M. Juliana McElrath, Martin Prlic, Hannah W. Miller, Chloe K. Slichter, Morag Park, Alex K. Shalek, Jingyuan Deng and Vivian H. Gersuk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Medicine.

In The Last Decade

Greg Finak

42 papers receiving 5.2k citations

Hit Papers

MAST: a flexible statistical framework for assessing ... 2008 2026 2014 2020 2015 2008 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Finak United States 23 3.2k 1.3k 1.2k 1.1k 424 42 5.3k
Ilya Korsunsky United States 12 3.1k 1.0× 1.7k 1.2× 747 0.6× 749 0.7× 307 0.7× 19 4.9k
Joost van den Oord Belgium 28 2.9k 0.9× 1.6k 1.2× 1.4k 1.2× 957 0.9× 145 0.3× 79 5.5k
Charles‐Antoine Dutertre Singapore 28 2.5k 0.8× 2.8k 2.1× 897 0.8× 448 0.4× 320 0.8× 51 6.2k
Aaron T. L. Lun Australia 31 4.7k 1.5× 1.4k 1.0× 514 0.4× 1.1k 1.0× 521 1.2× 44 6.3k
Michael Morse United States 13 3.3k 1.0× 1.2k 0.9× 606 0.5× 720 0.7× 304 0.7× 34 4.6k
Jinmiao Chen Singapore 33 3.1k 0.9× 4.1k 3.1× 1.1k 0.9× 611 0.6× 352 0.8× 72 8.2k
Tamir Chandra United Kingdom 25 3.4k 1.1× 1.2k 0.9× 433 0.4× 606 0.6× 198 0.5× 47 4.6k
Erin F. Simonds United States 19 5.1k 1.6× 2.6k 1.9× 1.1k 1.0× 703 0.7× 1.4k 3.4× 28 7.6k
Raúl Ramos United States 15 2.5k 0.8× 1.7k 1.2× 898 0.8× 692 0.7× 184 0.4× 32 5.1k

Countries citing papers authored by Greg Finak

Since Specialization
Citations

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

Fields of papers citing papers by Greg Finak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Finak

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

All Works

20 of 20 papers shown
1.
Manz, Trevor, et al.. (2024). A General Framework for Comparing Embedding Visualizations Across Class-Label Hierarchies. IEEE Transactions on Visualization and Computer Graphics. 31(1). 283–293. 2 indexed citations
2.
O’Brien, Valerie P., Yuqi Kang, Meera K. Shenoy, et al.. (2023). Single-cell Profiling Uncovers a Muc4 -Expressing Metaplastic Gastric Cell Type Sustained by Helicobacter pylori -driven Inflammation. Cancer Research Communications. 3(9). 1756–1769. 3 indexed citations
3.
Finak, Greg, Leonard D’Amico, Nina Bhardwaj, et al.. (2021). New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy. Patterns. 2(12). 100372–100372. 21 indexed citations
4.
Rakshit, Srabanti, Vasista Adiga, Greg Finak, et al.. (2020). HIV Skews a Balanced Mtb-Specific Th17 Response in Latent Tuberculosis Subjects to a Pro-inflammatory Profile Independent of Viral Load. Cell Reports. 33(9). 108451–108451. 6 indexed citations
5.
Rakshit, Srabanti, Asma Ahmed, Vasista Adiga, et al.. (2019). BCG revaccination boosts adaptive polyfunctional Th1/Th17 and innate effectors in IGRA+ and IGRA– Indian adults. JCI Insight. 4(24). 40 indexed citations
6.
Finak, Greg. (2018). The Computational article format: Software as a research output. Cytometry Part A. 93(12). 1187–1188. 1 indexed citations
7.
Bolton, Diane L., Kathleen A. McGinnis, Greg Finak, et al.. (2017). Combined single-cell quantitation of host and SIV genes and proteins ex vivo reveals host-pathogen interactions in individual cells. PLoS Pathogens. 13(6). e1006445–e1006445. 17 indexed citations
8.
Alberer, Martin, Ulrike Gnad-Vogt, Henoch S. Hong, et al.. (2017). Safety and immunogenicity of a mRNA rabies vaccine in healthy adults: an open-label, non-randomised, prospective, first-in-human phase 1 clinical trial. The Lancet. 390(10101). 1511–1520. 373 indexed citations breakdown →
9.
Slichter, Chloe K., Andrew McDavid, Hannah W. Miller, et al.. (2016). Distinct activation thresholds of human conventional and innate-like memory T cells. JCI Insight. 1(8). 108 indexed citations
10.
Finak, Greg, Andrew McDavid, Masanao Yajima, et al.. (2015). MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome biology. 16(1). 278–278. 1570 indexed citations breakdown →
11.
Finak, Greg, Jacob Frelinger, Wenxin Jiang, et al.. (2014). OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis. PLoS Computational Biology. 10(8). e1003806–e1003806. 135 indexed citations
12.
McDavid, Andrew, Lucas Dennis, Patrick Danaher, et al.. (2014). Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells. PLoS Computational Biology. 10(7). e1003696–e1003696. 41 indexed citations
13.
Aghaeepour, Nima, Greg Finak, Holger H. Hoos, et al.. (2013). Critical assessment of automated flow cytometry data analysis techniques. Nature Methods. 10(3). 228–238. 389 indexed citations
14.
Finak, Greg, Chungwen Wei, Igñacio Sanz, et al.. (2013). High‐throughput flow cytometry data normalization for clinical trials. Cytometry Part A. 85(3). 277–286. 31 indexed citations
15.
Finak, Greg, et al.. (2010). Optimizing transformations for automated, high throughput analysis of flow cytometry data. BMC Bioinformatics. 11(1). 546–546. 65 indexed citations
16.
Myhre, Simen, Trine Tramm, Jan Alsner, et al.. (2010). In Silico Ascription of Gene Expression Differences to Tumor and Stromal Cells in a Model to Study Impact on Breast Cancer Outcome. PLoS ONE. 5(11). e14002–e14002. 19 indexed citations
17.
Roche, O., Greg Finak, Andrew Evans, et al.. (2009). Regulation of endocytosis via the oxygen-sensing pathway. Nature Medicine. 15(3). 319–324. 160 indexed citations
18.
Finak, Greg, Nicholas Bertos, François Pépin, et al.. (2008). Stromal gene expression predicts clinical outcome in breast cancer. Nature Medicine. 14(5). 518–527. 1288 indexed citations breakdown →
19.
Finak, Greg, Svetlana Sadekova, François Pépin, et al.. (2006). Gene expression signatures of morphologically normal breast tissue identify basal-like tumors. Breast Cancer Research. 8(5). R58–R58. 110 indexed citations
20.
Finak, Greg, et al.. (2004). BIAS: Bioinformatics Integrated Application Software. Computer applications in the biosciences. 21(8). 1745–1746. 7 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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