Chris Armit

1.1k total citations
19 papers, 440 citations indexed

About

Chris Armit is a scholar working on Molecular Biology, Biophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chris Armit has authored 19 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Biophysics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chris Armit's work include Biomedical Text Mining and Ontologies (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Chris Armit is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Chris Armit collaborates with scholars based in United Kingdom, United States and Australia. Chris Armit's co-authors include Richard Baldock, Wendy J. Brown, Carrie Ritchie, Stewart G. Trost, Lorna Richardson, Yiya Yang, Bill Hill, Shanmugasundaram Venkataraman, Nick Burton and Liz Graham and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Development.

In The Last Decade

Chris Armit

19 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Armit United Kingdom	10	262	88	53	48	39	19	440
Hélène Richard Canada	18	167 0.6×	57 0.6×	36 0.7×	164 3.4×	20 0.5×	48	801
Adrian Gray Australia	11	120 0.5×	137 1.6×	42 0.8×	37 0.8×	30 0.8×	29	868
Javier Moreno‐Montañés Spain	26	267 1.0×	176 2.0×	40 0.8×	59 1.2×	15 0.4×	110	2.0k
Sérgio Scalzo Brazil	10	155 0.6×	62 0.7×	30 0.6×	37 0.8×	15 0.4×	29	372
Nima Milani‐Nejad United States	10	242 0.9×	70 0.8×	18 0.3×	91 1.9×	23 0.6×	33	653
Douglas R. Lazzaro United States	17	213 0.8×	41 0.5×	61 1.2×	40 0.8×	125 3.2×	51	865
Dong‐Hyun Nam South Korea	15	234 0.9×	95 1.1×	135 2.5×	74 1.5×	12 0.3×	41	619
Mark McCauley United States	17	434 1.7×	53 0.6×	77 1.5×	50 1.0×	48 1.2×	41	885
Annunziata Crupi Italy	8	138 0.5×	85 1.0×	12 0.2×	71 1.5×	11 0.3×	9	367
Norihiro Ueda Japan	16	264 1.0×	137 1.6×	42 0.8×	58 1.2×	35 0.9×	57	869

Countries citing papers authored by Chris Armit

Since Specialization

Citations

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

Fields of papers citing papers by Chris Armit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Armit

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

All Works

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19 of 19 papers shown

Murphy, Paula, Chris Armit, Bill Hill, et al.. (2022). Integrated analysis of Wnt signalling system component gene expression. Development. 149(16). 4 indexed citations

Armit, Chris, Mary Ann Tuli, & Chris Hunter. (2022). A Decade of GigaScience: GigaDB and the Open Data Movement. GigaScience. 11. 2 indexed citations

Horner, Neil, Shanmugasundaram Venkataraman, Chris Armit, et al.. (2021). LAMA: automated image analysis for the developmental phenotyping of mouse embryos. Development. 148(18). 6 indexed citations

Armit, Chris, Scott Edmunds, Laurie Goodman, et al.. (2019). Increased interactivity and improvements to the GigaScience database, GigaDB. Database. 2019. 5 indexed citations

Armit, Chris, Lorna Richardson, Shanmugasundaram Venkataraman, et al.. (2017). eMouseAtlas: An atlas-based resource for understanding mammalian embryogenesis. Developmental Biology. 423(1). 1–11. 22 indexed citations

Baldock, Richard & Chris Armit. (2017). eHistology image and annotation data from the Kaufman Atlas of Mouse Development. GigaScience. 7(2). 8 indexed citations

Armit, Chris, Lorna Richardson, Bill Hill, Yiya Yang, & Richard Baldock. (2015). eMouseAtlas informatics: embryo atlas and gene expression database. Mammalian Genome. 26(9-10). 431–440. 15 indexed citations

Richardson, Lorna, Liz Graham, Julie Moss, et al.. (2015). Developing the eHistology Atlas. Database. 2015. bav105–bav105. 4 indexed citations

Graham, Elizabeth, et al.. (2015). eHistology Kaufman Atlas Plate 40b image b. 1 indexed citations

10.

Graham, Elizabeth, Julie Moss, Nick Burton, et al.. (2015). The atlas of mouse development eHistology resource. Development. 142(14). 2545–2545. 4 indexed citations

11.

Berry, Rachel L., Derya D. Ozdemir, Bruce J. Aronow, et al.. (2015). Deducing the stage of origin of Wilms' tumours from a developmental series of Wt1-mutant mice. Development. 142(16). e1.2–e1.2. 12 indexed citations

12.

Berry, Rachel L., Derya D. Ozdemir, Bruce J. Aronow, et al.. (2015). Deducing the stage of origin of Wilms' tumours from a developmental series of Wt1 mutants. Disease Models & Mechanisms. 8(8). 903–17. 21 indexed citations

13.

Zhang, Rong, Heidi K. Mjoseng, Marieke A. Hoeve, et al.. (2013). A thermoresponsive and chemically defined hydrogel for long-term culture of human embryonic stem cells. Nature Communications. 4(1). 1335–1335. 100 indexed citations

14.

Richardson, Lorna, Shanmugasundaram Venkataraman, Peter Stevenson, et al.. (2013). EMAGE mouse embryo spatial gene expression database: 2014 update. Nucleic Acids Research. 42(D1). D835–D844. 109 indexed citations

15.

Armit, Chris, Shanmugasundaram Venkataraman, Lorna Richardson, et al.. (2012). eMouseAtlas, EMAGE, and the spatial dimension of the transcriptome. Mammalian Genome. 23(9-10). 514–524. 28 indexed citations

16.

Davies, Jamie A., Melissa H. Little, Bruce J. Aronow, et al.. (2012). Access and Use of the GUDMAP Database of Genitourinary Development. Methods in molecular biology. 886. 185–201. 9 indexed citations

17.

Armit, Chris. (2007). Developmental Biology and Databases. Organogenesis. 3(2). 70–73. 3 indexed citations

18.

Ritchie, Carrie, Stewart G. Trost, Wendy J. Brown, & Chris Armit. (2005). Reliability and validity of physical fitness field tests for adults aged 55 to 70 years. Journal of science and medicine in sport. 8(1). 61–70. 78 indexed citations

19.

Armit, Chris, Shirley O’Dea, Alan R. Clarke, & David J. Harrison. (2002). Absence of p53 in Clara cells favours multinucleation and loss of cell cycle arrest. BMC Cell Biology. 3(1). 27–27. 9 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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