Nancy George

4.1k total citations · 1 hit paper
9 papers, 670 citations indexed

About

Nancy George is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Nancy George has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Infectious Diseases. Recurrent topics in Nancy George's work include Single-cell and spatial transcriptomics (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Molecular Biology Techniques and Applications (3 papers). Nancy George is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Molecular Biology Techniques and Applications (3 papers). Nancy George collaborates with scholars based in United Kingdom, Canada and United States. Nancy George's co-authors include Irene Papatheodorou, Alvis Brāzma, Uğis Sarkans, Ahmed Yousif Ali, Haider Iqbal, Anja Füllgrabe, Awais Athar, Laura Huerta, Nuno A. Fonseca and Catherine Snow and has published in prestigious journals such as Nucleic Acids Research, Developmental Cell and Frontiers in Immunology.

In The Last Decade

Nancy George

8 papers receiving 666 citations

Hit Papers

ArrayExpress update – from bulk to single-cell expression... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy George United Kingdom 7 483 113 91 66 64 9 670
Anja Füllgrabe United Kingdom 7 591 1.2× 92 0.8× 119 1.3× 59 0.9× 74 1.2× 7 807
Nicholas P. Gauthier United States 12 510 1.1× 41 0.4× 103 1.1× 44 0.7× 60 0.9× 19 655
Emanuel Gonçalves United Kingdom 17 757 1.6× 56 0.5× 179 2.0× 42 0.6× 131 2.0× 31 940
Basak Eraslan United States 5 403 0.8× 46 0.4× 61 0.7× 67 1.0× 53 0.8× 5 564
Ramyar Molania Australia 9 285 0.6× 51 0.5× 125 1.4× 58 0.9× 83 1.3× 16 460
Mohan Malleshaiah Canada 11 629 1.3× 205 1.8× 35 0.4× 93 1.4× 77 1.2× 19 771
Émilie Chautard France 14 572 1.2× 155 1.4× 113 1.2× 41 0.6× 53 0.8× 21 789
Catherine Snow United Kingdom 3 411 0.9× 24 0.2× 73 0.8× 48 0.7× 46 0.7× 3 544
Halil Bagci Canada 8 615 1.3× 195 1.7× 50 0.5× 100 1.5× 58 0.9× 12 794
Diego Alonso‐López Spain 9 351 0.7× 34 0.3× 77 0.8× 54 0.8× 92 1.4× 14 529

Countries citing papers authored by Nancy George

Since Specialization
Citations

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

Fields of papers citing papers by Nancy George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy George

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

All Works

9 of 9 papers shown
1.
Ventura, E, Alexey Sokolov, Nancy George, et al.. (2024). Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research. Frontiers in Genetics. 15. 1460351–1460351.
2.
Tuggle, Christopher K., Tony Burdett, Timothy L. Tickle, et al.. (2023). PSII-6 Computational Tools and Resources for Analysis and Exploration of Single-Cell Rnaseq Data in Agriculture. Journal of Animal Science. 101(Supplement_2). 267–268. 1 indexed citations
3.
Li, Xu, Manik Garg, Tingting Jia, et al.. (2022). Single-Cell Analysis Reveals the Immune Characteristics of Myeloid Cells and Memory T Cells in Recovered COVID-19 Patients With Different Severities. Frontiers in Immunology. 12. 781432–781432. 15 indexed citations
4.
Walzer, Mathias, David García‐Seisdedos, Ananth Prakash, et al.. (2022). Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas. Scientific Data. 9(1). 335–335. 16 indexed citations
5.
Wang, Shengbo, David García‐Seisdedos, Ananth Prakash, et al.. (2022). Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues. PLoS Computational Biology. 18(6). e1010174–e1010174. 9 indexed citations
6.
Prakash, Ananth, David García‐Seisdedos, Shengbo Wang, et al.. (2022). Integrated View of Baseline Protein Expression in Human Tissues. Journal of Proteome Research. 22(3). 729–742. 12 indexed citations
7.
Sarkans, Uğis, Anja Füllgrabe, Ahmed Yousif Ali, et al.. (2020). From ArrayExpress to BioStudies. Nucleic Acids Research. 49(D1). D1502–D1506. 65 indexed citations
8.
Athar, Awais, Anja Füllgrabe, Nancy George, et al.. (2018). ArrayExpress update – from bulk to single-cell expression data. Nucleic Acids Research. 47(D1). D711–D715. 377 indexed citations breakdown →
9.
Sancho, Margarida, et al.. (2013). Competitive Interactions Eliminate Unfit Embryonic Stem Cells at the Onset of Differentiation. Developmental Cell. 26(1). 19–30. 175 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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