Thomas Pengo

4.6k total citations
38 papers, 1.6k citations indexed

About

Thomas Pengo is a scholar working on Biophysics, Molecular Biology and Structural Biology. According to data from OpenAlex, Thomas Pengo has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biophysics, 13 papers in Molecular Biology and 7 papers in Structural Biology. Recurrent topics in Thomas Pengo's work include Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and Advanced Electron Microscopy Techniques and Applications (7 papers). Thomas Pengo is often cited by papers focused on Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and Advanced Electron Microscopy Techniques and Applications (7 papers). Thomas Pengo collaborates with scholars based in United States, Spain and Switzerland. Thomas Pengo's co-authors include Suliana Manley, Michaël Unser, Daniel Sage, Séamus Holden, Hagai Kirshner, Nico Stuurman, Junhong Min, Atsushi Asakura, Bénédicte Chazaud and Mayank Verma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Thomas Pengo

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Pengo United States 19 723 655 286 244 146 38 1.6k
Romain F. Laine United Kingdom 23 815 1.1× 653 1.0× 323 1.1× 146 0.6× 113 0.8× 41 2.1k
Graeme Ball United Kingdom 21 988 1.4× 384 0.6× 181 0.6× 125 0.5× 220 1.5× 29 1.9k
Dinah Loerke United States 20 1.8k 2.5× 683 1.0× 327 1.1× 67 0.3× 154 1.1× 36 2.8k
Cömert Kural United States 18 1.2k 1.7× 573 0.9× 391 1.4× 87 0.4× 90 0.6× 36 2.4k
Khuloud Jaqaman United States 22 2.4k 3.3× 800 1.2× 329 1.2× 90 0.4× 211 1.4× 42 3.6k
Jerry Chao United States 16 734 1.0× 523 0.8× 264 0.9× 164 0.7× 82 0.6× 61 1.6k
Timo Zimmermann Germany 19 1.7k 2.4× 697 1.1× 304 1.1× 48 0.2× 265 1.8× 45 3.0k
Yicong Wu United States 27 602 0.8× 1.4k 2.1× 1.1k 3.8× 182 0.7× 51 0.3× 58 2.5k
Maïté Coppey‐Moisan France 28 1.4k 1.9× 759 1.2× 316 1.1× 85 0.3× 152 1.0× 58 2.6k
Lee Kamentsky United States 13 1.5k 2.1× 984 1.5× 280 1.0× 36 0.1× 122 0.8× 21 2.9k

Countries citing papers authored by Thomas Pengo

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pengo

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Pengo. A scholar is included among the top collaborators of Thomas Pengo 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 Thomas Pengo. Thomas Pengo 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.
Neisch, Amanda L., et al.. (2025). Dynein-driven regulation of postsynaptic membrane architecture and synaptic function. Journal of Cell Science. 138(5).
2.
Abrams, Benjamin, Thomas Pengo, Tse-Luen Wee, et al.. (2023). Tissue-Like 3D Standard and Protocols for Microscope Quality Management. Microscopy and Microanalysis. 29(2). 616–634.
3.
Senft, Rebecca A., Barbara Diaz‐Rohrer, Pina Colarusso, et al.. (2023). A biologist's guide to the field of quantitative bioimaging. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Ladner, Katherine J., Phillip Wong, Murat Baday, et al.. (2022). TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images. Cancers. 14(19). 4958–4958. 5 indexed citations
5.
Harris, Michael A., Huihui Kuang, Zachary Schneiderman, et al.. (2021). ssDNA nanotubes for selective targeting of glioblastoma and delivery of doxorubicin for enhanced survival. Science Advances. 7(49). eabl5872–eabl5872. 19 indexed citations
6.
Llopis, Paula Montero, Rebecca A. Senft, Timothy J Ross-Elliott, et al.. (2021). Best practices and tools for reporting reproducible fluorescence microscopy methods. Nature Methods. 18(12). 1463–1476. 69 indexed citations
7.
Truong, Thu H., Nuri A. Temiz, Ying Wang, et al.. (2021). PELP1/SRC-3-dependent regulation of metabolic PFKFB kinases drives therapy resistant ER+ breast cancer. Oncogene. 40(25). 4384–4397. 26 indexed citations
8.
Marqués, Guillermo, Thomas Pengo, & Mark A Sanders. (2020). Imaging methods are vastly underreported in biomedical research. eLife. 9. 39 indexed citations
9.
Song, Kyu Young, Sabina Desar, Thomas Pengo, Ryan Shanley, & Alessio Giubellino. (2020). Correlation of MET and PD-L1 Expression in Malignant Melanoma. Cancers. 12(7). 1847–1847. 8 indexed citations
10.
Vierkant, Robert A., Charles F. Lynch, Thomas Pengo, et al.. (2020). Associations between tissue‐based CD3+ T‐lymphocyte count and colorectal cancer survival in a prospective cohort of older women. Molecular Carcinogenesis. 60(1). 15–24. 1 indexed citations
11.
Kotov, Dmitri I., Jason S. Mitchell, Thomas Pengo, et al.. (2019). TCR Affinity Biases Th Cell Differentiation by Regulating CD25, Eef1e1, and Gbp2. The Journal of Immunology. 202(9). 2535–2545. 49 indexed citations
12.
Tan, Zhe, Yaming Jiang, Mitra S. Ganewatta, et al.. (2019). Block Polymer Micelles Enable CRISPR/Cas9 Ribonucleoprotein Delivery: Physicochemical Properties Affect Packaging Mechanisms and Gene Editing Efficiency. Macromolecules. 52(21). 8197–8206. 51 indexed citations
13.
Herrera, Jeremy, Colleen L. Forster, Thomas Pengo, et al.. (2019). Registration of the extracellular matrix components constituting the fibroblastic focus in idiopathic pulmonary fibrosis. JCI Insight. 4(1). 61 indexed citations
14.
Sage, Daniel, Thanh-an Pham, Hazen P. Babcock, et al.. (2019). Publisher Correction: Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software. Nature Methods. 16(6). 561–561. 2 indexed citations
15.
Sage, Daniel, Thanh-an Pham, Hazen P. Babcock, et al.. (2019). Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software. Nature Methods. 16(5). 387–395. 210 indexed citations
16.
Trussart, Marie, Eva Yus, Davide Baù, et al.. (2017). Defined chromosome structure in the genome-reduced bacterium Mycoplasma pneumoniae. Nature Communications. 8(1). 14665–14665. 74 indexed citations
17.
Prizment, Anna E., Robert A. Vierkant, Thomas C. Smyrk, et al.. (2016). Cytotoxic T Cells and Granzyme B Associated with Improved Colorectal Cancer Survival in a Prospective Cohort of Older Women. Cancer Epidemiology Biomarkers & Prevention. 26(4). 622–631. 40 indexed citations
18.
Sage, Daniel, Hagai Kirshner, Thomas Pengo, et al.. (2015). Quantitative evaluation of software packages for single-molecule localization microscopy. Nature Methods. 12(8). 717–724. 254 indexed citations
19.
Holden, Séamus, et al.. (2014). High throughput 3D super-resolution microscopy reveals Caulobacter crescentus in vivo Z-ring organization. Proceedings of the National Academy of Sciences. 111(12). 4566–4571. 158 indexed citations
20.
Ortíz-de-Solórzano, Carlos, et al.. (2007). Computer Assisted Detection of Cancer Cells in Minimal Samples of Lung Cancer. Conference proceedings. 7. 5517–5520. 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.

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