Rob M. Ewing

7.9k total citations · 1 hit paper
67 papers, 3.1k citations indexed

About

Rob M. Ewing is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Rob M. Ewing has authored 67 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Oncology. Recurrent topics in Rob M. Ewing's work include Bioinformatics and Genomic Networks (13 papers), Epigenetics and DNA Methylation (9 papers) and Advanced Proteomics Techniques and Applications (8 papers). Rob M. Ewing is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Epigenetics and DNA Methylation (9 papers) and Advanced Proteomics Techniques and Applications (8 papers). Rob M. Ewing collaborates with scholars based in United Kingdom, United States and China. Rob M. Ewing's co-authors include J. Michael Cherry, Shauna Somerville, Yihua Wang, Zhenghe Wang, Jing Song, Mehmet Koyutürk, Sanford D. Markowitz, Pamela J. Green, Jean‐Michel Claverie and Rodrigo A. Gutiérrez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Rob M. Ewing

66 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

3-month, 6-month, 9-month, and 12-month respiratory outcomes in patients following COVID-19-related hospitalisation: a prospective study

2021 433 citations Xiaojun Wu, Xiaofan Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rob M. Ewing United Kingdom	26	1.8k	758	418	323	233	67	3.1k
Sun Kim South Korea	27	1.4k 0.8×	253 0.3×	382 0.9×	255 0.8×	287 1.2×	173	2.7k
Sourav Bandyopadhyay United States	27	2.4k 1.3×	130 0.2×	595 1.4×	234 0.7×	412 1.8×	44	3.4k
Antonio Fabregat United Kingdom	10	1.8k 1.0×	220 0.3×	67 0.2×	147 0.5×	260 1.1×	15	2.9k
Nicholas Shulman United States	14	3.1k 1.8×	241 0.3×	202 0.5×	100 0.3×	267 1.1×	21	4.6k
Blanche Schwappach Germany	41	5.1k 2.9×	386 0.5×	58 0.1×	277 0.9×	197 0.8×	83	6.5k
Amnon Harel Israel	25	2.9k 1.6×	195 0.3×	115 0.3×	133 0.4×	169 0.7×	47	3.7k
Jennifer Rust United States	9	3.4k 1.9×	150 0.2×	61 0.1×	162 0.5×	238 1.0×	11	4.1k
Tobias Straub Germany	35	3.5k 2.0×	645 0.9×	78 0.2×	61 0.2×	363 1.6×	114	4.3k
Reginald O. Morgan Spain	28	1.9k 1.1×	214 0.3×	143 0.3×	197 0.6×	178 0.8×	85	2.8k
Christie Chang United States	11	2.9k 1.6×	146 0.2×	56 0.1×	145 0.4×	223 1.0×	13	3.5k

Countries citing papers authored by Rob M. Ewing

Since Specialization

Citations

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

Fields of papers citing papers by Rob M. Ewing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob M. Ewing. 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 Rob M. Ewing. The network helps show where Rob M. Ewing may publish in the future.

Co-authorship network of co-authors of Rob M. Ewing

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

All Works

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20 of 20 papers shown

Kaid, Carolini, et al.. (2025). Multi-omics analysis reveals key immunogenic signatures induced by oncolytic Zika virus infection of paediatric brain tumour cells. Scientific Reports. 15(1). 13090–13090.

Ewing, Rob M., et al.. (2024). Protein language models meet reduced amino acid alphabets. Bioinformatics. 40(2). 4 indexed citations

Hu, Xiaoxiao, Yilu Zhou, Charlotte Hill, et al.. (2024). Identification of MYCN non-amplified neuroblastoma subgroups points towards molecular signatures for precision prognosis and therapy stratification. British Journal of Cancer. 130(11). 1841–1854. 3 indexed citations

Ewing, Rob M., et al.. (2023). Synthetic lethal approaches to target cancers with loss of PTEN function. Genes & Diseases. 10(6). 2511–2527. 16 indexed citations

Liu, Xiaofan, Ying Peng, Zhe Chen, et al.. (2023). Impact of non-pharmaceutical interventions during COVID-19 on future influenza trends in Mainland China. BMC Infectious Diseases. 23(1). 632–632. 9 indexed citations

Yao, Liudi, Yilu Zhou, Juanjuan Li, et al.. (2021). Bidirectional epithelial–mesenchymal crosstalk provides self-sustaining profibrotic signals in pulmonary fibrosis. Journal of Biological Chemistry. 297(3). 101096–101096. 33 indexed citations

Zhou, Yilu, Charlotte Hill, Liudi Yao, et al.. (2021). Quantitative Proteomic Analysis in Alveolar Type II Cells Reveals the Different Capacities of RAS and TGF-β to Induce Epithelial–Mesenchymal Transition. Frontiers in Molecular Biosciences. 8. 595712–595712. 7 indexed citations

Liu, Xiao Fan, Hong Zhou, Yilu Zhou, et al.. (2020). Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance. Scientific Reports. 10(1). 10263–10263. 24 indexed citations

Liu, Dian, Charlotte Hill, Yilu Zhou, et al.. (2020). ASPP1 deficiency promotes epithelial-mesenchymal transition, invasion and metastasis in colorectal cancer. Cell Death and Disease. 11(4). 224–224. 10 indexed citations

10.

Koh, Hiromi W.L., Damian Fermin, Christine Vogel, et al.. (2019). iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery. npj Systems Biology and Applications. 5(1). 22–22. 77 indexed citations

11.

Song, Jing, et al.. (2015). A Protein Interaction between β-Catenin and Dnmt1 Regulates Wnt Signaling and DNA Methylation in Colorectal Cancer Cells. Molecular Cancer Research. 13(6). 969–981. 40 indexed citations

12.

Song, Jian, Zhiguo Wang, & Rob M. Ewing. (2013). Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks. Molecular BioSystems. 10(1). 45–53. 14 indexed citations

13.

Jayapandian, Catherine, Meng Zhao, Rob M. Ewing, Guo‐Qiang Zhang, & Satya S. Sahoo. (2012). A semantic proteomics dashboard (SemPoD) for data management in translational research. BMC Systems Biology. 6(S3). S20–S20. 13 indexed citations

14.

Yuan, Yiyuan, Tsui‐Ting Ching, Parvin Hakimi, et al.. (2012). Enhanced Energy Metabolism Contributes to the Extended Life Span of Calorie-restricted Caenorhabditis elegans. Journal of Biological Chemistry. 287(37). 31414–31426. 50 indexed citations

15.

Schlatzer, Daniela, Jean‐Eudes Dazard, Moyez Dharsee, et al.. (2009). Urinary Protein Profiles in a Rat Model for Diabetic Complications. Molecular & Cellular Proteomics. 8(9). 2145–2158. 23 indexed citations

16.

Stewart, Ian I., Li Zhao, Thierry Le Bihan, et al.. (2004). The reproducible acquisition of comparative liquid chromatography/tandem mass spectrometry data from complex biological samples. Rapid Communications in Mass Spectrometry. 18(15). 1697–1710. 16 indexed citations

17.

Ewing, Rob M., et al.. (2002). cDNAマイクロアレイ解析によるシロイヌナズナにおける不安定転写産物の同定迅速な崩壊は接触‐および特異的時計調節遺伝子と関連している. Proc Natl Acad Sci USA. 99(17). 11513–11518. 79 indexed citations

18.

Finkelstein, David, Rob M. Ewing, Jeremy Gollub, et al.. (2002). Microarray data quality analysis: lessons from the AFGC project. Plant Molecular Biology. 48(1-2). 119–132. 66 indexed citations

19.

Ewing, Rob M., Olivier Poirot, & Jean‐Michel Claverie. (2000). Comparative Analysis of the Arabidopsis and Rice Expressed Sequence Tag (EST) Sets. In Silico Biology. 1(4). 197–213. 12 indexed citations

20.

Ewing, Rob M., et al.. (1999). Large-Scale Statistical Analyses of Rice ESTs Reveal Correlated Patterns of Gene Expression. Genome Research. 9(10). 950–959. 186 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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