Ambrose Carr

6.8k total citations · 3 hit papers
39 papers, 3.4k citations indexed

About

Ambrose Carr is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Ambrose Carr has authored 39 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Plant Science and 7 papers in Cell Biology. Recurrent topics in Ambrose Carr's work include Single-cell and spatial transcriptomics (9 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant Pathogens and Resistance (7 papers). Ambrose Carr is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant Pathogens and Resistance (7 papers). Ambrose Carr collaborates with scholars based in United Kingdom, United States and Lithuania. Ambrose Carr's co-authors include Dana Pe’er, Linas Mažutis, Juozas Nainys, Elham Azizi, Sandhya Prabhakaran, Manu Setty, Vaidotas Kiseliovas, Peter T. McKenney, Andrew Cornish and Ruby Wasti and has published in prestigious journals such as Cell, Nature Medicine and Clinical Orthopaedics and Related Research.

In The Last Decade

Ambrose Carr

39 papers receiving 3.3k citations

Hit Papers

Single-Cell Map of Diverse Immune Phenotypes in the Breas... 2018 2026 2020 2023 2018 2018 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambrose Carr United Kingdom 19 2.0k 1.0k 918 696 269 39 3.4k
Mariano J. Alvarez United States 27 2.8k 1.4× 895 0.9× 723 0.8× 771 1.1× 201 0.7× 47 4.1k
Tamir Chandra United Kingdom 25 3.4k 1.8× 1.2k 1.1× 433 0.5× 606 0.9× 174 0.6× 47 4.6k
Raghav Chawla Switzerland 9 2.1k 1.1× 937 0.9× 476 0.5× 498 0.7× 105 0.4× 24 3.2k
Carmen Bravo González‐Blas Belgium 14 3.4k 1.7× 1.2k 1.2× 671 0.7× 783 1.1× 117 0.4× 16 4.7k
Lena Christiansen United States 10 4.1k 2.1× 894 0.9× 440 0.5× 930 1.3× 221 0.8× 13 5.0k
David Gennert United States 8 3.2k 1.7× 1.6k 1.5× 1.2k 1.3× 781 1.1× 91 0.3× 13 5.0k
Zhengyan Kan United States 15 3.1k 1.6× 572 0.6× 612 0.7× 593 0.9× 120 0.4× 28 3.9k
Zeynep Kalender Atak Belgium 17 3.4k 1.7× 1.4k 1.3× 893 1.0× 831 1.2× 75 0.3× 23 4.9k
Caleb A. Lareau United States 34 5.3k 2.7× 1.2k 1.1× 650 0.7× 1.1k 1.6× 233 0.9× 71 6.5k

Countries citing papers authored by Ambrose Carr

Since Specialization
Citations

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

Fields of papers citing papers by Ambrose Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambrose Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Ambrose Carr. A scholar is included among the top collaborators of Ambrose Carr 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 Ambrose Carr. Ambrose Carr 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.
Carr, Ambrose, Jonah Cool, Theofanis Karaletsos, et al.. (2024). AI: A transformative opportunity in cell biology. Molecular Biology of the Cell. 35(12). pe4–pe4. 3 indexed citations
2.
Laughney, Ashley M., Jing Hu, Nathaniel R. Campbell, et al.. (2020). Regenerative lineages and immune-mediated pruning in lung cancer metastasis. Nature Medicine. 26(2). 259–269. 251 indexed citations breakdown →
3.
Gayoso, Adam, et al.. (2019). JonathanShor/DoubletDetection: HOTFIX: Correct setup.py installation. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
4.
Dijk, David van, Roshan Sharma, Juozas Nainys, et al.. (2018). Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell. 174(3). 716–729.e27. 945 indexed citations breakdown →
5.
Azizi, Elham, Ambrose Carr, George Plitas, et al.. (2018). Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment. Cell. 174(5). 1293–1308.e36. 1250 indexed citations breakdown →
6.
Lane, Keara, David Van Valen, Mialy DeFelice, et al.. (2017). Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation. Cell Systems. 4(4). 458–469.e5. 110 indexed citations
7.
Azizi, Elham, Sandhya Prabhakaran, Ambrose Carr, & Dana Pe’er. (2017). Bayesian Inference for Single-cell Clustering and Imputing. 3(1). 46–46. 29 indexed citations
8.
Prabhakaran, Sandhya, Elham Azizi, Ambrose Carr, & Dana Pe’er. (2016). Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.. PubMed Central. 48. 1070–1079. 63 indexed citations
9.
Bose, Sayantan, et al.. (2015). Scalable microfluidics for single-cell RNA printing and sequencing. Genome Biology. 16(1). 120–120. 94 indexed citations
10.
Carr, Ambrose & Dana Pe’er. (2014). Broadening horizons: holistic viewpoints from the Biology of Genomes. Genome biology. 15(7). 416–416. 1 indexed citations
11.
12.
Barson, Jessica R., Ambrose Carr, Jennifer E. Soun, et al.. (2009). Opioids in the nucleus accumbens stimulate ethanol intake. Physiology & Behavior. 98(4). 453–459. 37 indexed citations
13.
Barson, Jessica R., Ambrose Carr, Jennifer E. Soun, et al.. (2009). Opioids in the Hypothalamic Paraventricular Nucleus Stimulate Ethanol Intake. Alcoholism Clinical and Experimental Research. 34(2). 214–222. 56 indexed citations
14.
Gibbons, C. L. M. H., et al.. (1994). The Management of Isolated Distal Radius Fractures in Children. Journal of Pediatric Orthopaedics. 14(2). 207–210. 84 indexed citations
15.
Wilkins, P. W., et al.. (1974). Resistance of Lolium multiflorum/Festuca arundinacea hybrids to some diseases of their parent species. Euphytica. 23(2). 315–320. 5 indexed citations
16.
Carr, Ambrose, et al.. (1967). Effect of Clover Phyllody Virus on Nodulation of White Clover (Trifolium repens) by Rhizobium trifolii. Journal of General Microbiology. 47(1). 139–151. 15 indexed citations
17.
Carr, Ambrose, et al.. (1966). Use of culture filtrates as a rapid technique for screening lucerne for resistance to Verticillium alboatrum. Transactions of the British Mycological Society. 49(1). 133–IN4. 22 indexed citations
18.
Carr, Ambrose & P. L. Catherall. (1963). The assessment of disease in herbage crops.. 4 indexed citations
19.
Carr, Ambrose & Lindsay S. Olive. (1959). Genetics of Sordaria Fimicola. III. Cross-Compatibility Among Self-Fertile and Self-Sterile Cultures. American Journal of Botany. 46(2). 81–81. 3 indexed citations
20.
Carr, Ambrose & Lindsay S. Olive. (1959). GENETICS OF SORDARIA FIMICOLA. III. CROSS‐COMPATIBILITY AMONG SELF‐FERTILE AND SELF‐STERILE CULTURES. American Journal of Botany. 46(2). 81–91. 22 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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