Clarence Yapp

6.6k total citations · 3 hit papers
42 papers, 2.4k citations indexed

About

Clarence Yapp is a scholar working on Molecular Biology, Biophysics and Orthopedics and Sports Medicine. According to data from OpenAlex, Clarence Yapp has authored 42 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Biophysics and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Clarence Yapp's work include Single-cell and spatial transcriptomics (12 papers), Cell Image Analysis Techniques (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Clarence Yapp is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Cell Image Analysis Techniques (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Clarence Yapp collaborates with scholars based in United States, United Kingdom and Canada. Clarence Yapp's co-authors include Peter K. Sorger, Sandro Santagata, Jia‐Ren Lin, Shu Wang, Benjamin Izar, Parin Shah, Shaolin Mei, Susanne Müller, Paul E. Brennan and Yu‐An Chen and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Clarence Yapp

41 papers receiving 2.4k citations

Hit Papers

Highly multiplexed immunofluorescence imaging of human ti... 2018 2026 2020 2023 2018 2019 2023 100 200 300

Peers

Clarence Yapp
Ewan J. McGhee United Kingdom
Banafshé Larijani United Kingdom
Shawn M. Gomez United States
D J Kwiatkowski United States
Jason M. Haugh United States
Frédéric Bard Singapore
Daniel Zicha United Kingdom
Jeffrey R. Moore United States
Clarence Yapp
Citations per year, relative to Clarence Yapp Clarence Yapp (= 1×) peers Olivier Destaing

Countries citing papers authored by Clarence Yapp

Since Specialization
Citations

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

Fields of papers citing papers by Clarence Yapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarence Yapp

This figure shows the co-authorship network connecting the top 25 collaborators of Clarence Yapp. A scholar is included among the top collaborators of Clarence Yapp 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 Clarence Yapp. Clarence Yapp 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.
Yapp, Clarence, Ajit J. Nirmal, Felix Zhou, et al.. (2025). Highly multiplexed 3D profiling of cell states and immune niches in human tumors. Nature Methods. 22(10). 2180–2193. 2 indexed citations
2.
Lin, Jia‐Ren, Chen Yuan, Daniel Campton, et al.. (2023). High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers. Nature Cancer. 4(7). 1036–1052. 71 indexed citations
3.
Lin, Jia‐Ren, Shu Wang, Shannon Coy, et al.. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Cell. 186(2). 363–381.e19. 126 indexed citations breakdown →
4.
Muhlich, Jeremy L., et al.. (2022). Stitching and registering highly multiplexed whole-slide images of tissues and tumors using ASHLAR. Bioinformatics. 38(19). 4613–4621. 48 indexed citations
5.
Yapp, Clarence, Edward Novikov, Won-Dong Jang, et al.. (2022). UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues. Communications Biology. 5(1). 1263–1263. 20 indexed citations
6.
Gaglia, Giorgio, Rumana Rashid, Clarence Yapp, et al.. (2020). HSF1 phase transition mediates stress adaptation and cell fate decisions. Nature Cell Biology. 22(2). 151–158. 77 indexed citations
7.
Rashid, Rumana, Giorgio Gaglia, Chen Yuan, et al.. (2019). Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer. Scientific Data. 6(1). 323–323. 26 indexed citations
8.
Palmer, Adam C., Mario Niepel, Mirra Chung, et al.. (2019). Torin2 Exploits Replication and Checkpoint Vulnerabilities to Cause Death of PI3K-Activated Triple-Negative Breast Cancer Cells. Cell Systems. 10(1). 66–81.e11. 24 indexed citations
9.
Xu, Chundi, Jing Peng, Clarence Yapp, et al.. (2019). Control of Synaptic Specificity by Establishing a Relative Preference for Synaptic Partners. Neuron. 103(5). 865–877.e7. 39 indexed citations
10.
Onozato, Maristela L., Clarence Yapp, Douglas S. Richardson, et al.. (2019). Highly Multiplexed Fluorescence in Situ Hybridization for in Situ Genomics. Journal of Molecular Diagnostics. 21(3). 390–407. 12 indexed citations
11.
Saka, Sinem K., Yu Wang, Jocelyn Y. Kishi, et al.. (2019). Immuno-SABER enables highly multiplexed and amplified protein imaging in tissues. Nature Biotechnology. 37(9). 1080–1090. 316 indexed citations breakdown →
12.
Wolstenhulme, Stephen, Anthony Tumber, Stephanie B. Hatch, et al.. (2017). Discovery of a Highly Selective Cell‐Active Inhibitor of the Histone Lysine Demethylases KDM2/7. Angewandte Chemie. 129(49). 15761–15765. 1 indexed citations
13.
Wolstenhulme, Stephen, Anthony Tumber, Stephanie B. Hatch, et al.. (2017). Discovery of a Highly Selective Cell‐Active Inhibitor of the Histone Lysine Demethylases KDM2/7. Angewandte Chemie International Edition. 56(49). 15555–15559. 33 indexed citations
14.
Kawamura, Akane, Martin Münzel, Tatsuya Kojima, et al.. (2017). Highly selective inhibition of histone demethylases by de novo macrocyclic peptides. Nature Communications. 8(1). 14773–14773. 117 indexed citations
15.
Fusco, Dahlene N., Henry Pratt, Wenyu Lin, et al.. (2017). HELZ2 Is an IFN Effector Mediating Suppression of Dengue Virus. Frontiers in Microbiology. 8. 240–240. 35 indexed citations
16.
Carr, Andrew, et al.. (2016). The response of tenocytes to commercial scaffolds used for rotator cuff repair. European Cells and Materials. 31. 107–118. 35 indexed citations
17.
Yapp, Clarence, Catherine Rogers, P. Savitsky, Martin Philpott, & Susanne Müller. (2016). Frapid: achieving full automation of FRAP for chemical probe validation. Biomedical Optics Express. 7(2). 422–422. 2 indexed citations
18.
Yapp, Clarence, et al.. (2016). Using Fluorescence Recovery After Photobleaching to Study Gap Junctional Communication In Vitro. Methods in molecular biology. 1437. 171–179. 2 indexed citations
19.
Yapp, Clarence, Andrew Carr, Andrew Price, Udo Oppermann, & Sarah Snelling. (2016). H3K27me3 demethylases regulate in vitro chondrogenesis and chondrocyte activity in osteoarthritis. Osteoarthritis and Cartilage. 24. S181–S181. 10 indexed citations
20.
Philpott, Martin, Catherine Rogers, Clarence Yapp, et al.. (2014). Assessing cellular efficacy of bromodomain inhibitors using fluorescence recovery after photobleaching. Epigenetics & Chromatin. 7(1). 14–14. 49 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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