Matthew Greenig

628 total citations
15 papers, 177 citations indexed

About

Matthew Greenig is a scholar working on Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew Greenig has authored 15 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew Greenig's work include SARS-CoV-2 and COVID-19 Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and COVID-19 Clinical Research Studies (3 papers). Matthew Greenig is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and COVID-19 Clinical Research Studies (3 papers). Matthew Greenig collaborates with scholars based in United Kingdom, United States and Germany. Matthew Greenig's co-authors include Rodrigo R. R. Duarte, Douglas F. Nixon, L. Iñiguez, Cédric Feschotte, Pietro Sormanni, Manvendra Singh, Jez L. Marston, Matthew L. Bendall, Stéfano Ricagno and Cristina Visentin and has published in prestigious journals such as Nature Communications, BMC Medicine and JCI Insight.

In The Last Decade

Matthew Greenig

14 papers receiving 174 citations

Peers

Matthew Greenig
Sarah W. Robison United States
Jez L. Marston United States
Evelyn Lilly United States
Santharam S. Katta United States
Lesley H. Wise United Kingdom
Olivier B. Bakker Netherlands
Sarah W. Robison United States
Matthew Greenig
Citations per year, relative to Matthew Greenig Matthew Greenig (= 1×) peers Sarah W. Robison

Countries citing papers authored by Matthew Greenig

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Greenig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Greenig

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

All Works

15 of 15 papers shown
1.
Marston, Jez L., Bhavya Singh, Matthew Greenig, et al.. (2025). A single-cell transposable element atlas of human cell identity. Cell Reports Methods. 5(7). 101086–101086. 1 indexed citations
2.
Atkinson, Timothy, Thomas D. Barrett, Scott Cameron, et al.. (2025). Protein sequence modelling with Bayesian flow networks. Nature Communications. 16(1). 3197–3197. 1 indexed citations
3.
Yin, Tao, et al.. (2025). Development of potent humanized TNFα inhibitory nanobodies for therapeutic applications in TNFα-mediated diseases. mAbs. 17(1). 2498164–2498164. 4 indexed citations
5.
Greenig, Matthew, et al.. (2025). Improving nanobody structure prediction with self-distillation. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations
6.
Greenig, Matthew, et al.. (2024). Automated optimization of the solubility of a hyper-stable α-amylase. Open Biology. 14(5). 240014–240014. 2 indexed citations
7.
Didi, Kieran, Cristina Visentin, Stéfano Ricagno, et al.. (2024). Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV. Nature Machine Intelligence. 6(1). 74–91. 40 indexed citations
8.
Holt, Hayley, David A. Jolliffe, Mohammad Talaei, et al.. (2023). Incidence determinants and serological correlates of reactive symptoms following SARS-CoV-2 vaccination. npj Vaccines. 8(1). 26–26. 2 indexed citations
9.
Jolliffe, David A., Sian Faustini, Hayley Holt, et al.. (2022). Determinants of Antibody Responses to SARS-CoV-2 Vaccines: Population-Based Longitudinal Study (COVIDENCE UK). Vaccines. 10(10). 1601–1601. 19 indexed citations
10.
Talaei, Mohammad, Sian Faustini, Hayley Holt, et al.. (2022). Determinants of pre-vaccination antibody responses to SARS-CoV-2: a population-based longitudinal study (COVIDENCE UK). BMC Medicine. 20(1). 87–87. 24 indexed citations
12.
Marston, Jez L., Matthew Greenig, Manvendra Singh, et al.. (2021). SARS-CoV-2 infection mediates differential expression of human endogenous retroviruses and long interspersed nuclear elements. JCI Insight. 6(24). 36 indexed citations
13.
Talaei, Mohammad, Sian Faustini, Hayley Holt, et al.. (2021). Determinants of Pre-Vaccination Antibody Responses to SARS-CoV-2: A Population-Based Longitudinal Study (COVIDENCE UK). SSRN Electronic Journal. 1 indexed citations
14.
Greenig, Matthew, Andrew Melville, Derek Huntley, Mark Isalan, & Michał Mielcarek. (2020). Cross-Sectional Transcriptional Analysis of the Aging Murine Heart. Frontiers in Molecular Biosciences. 7. 565530–565530. 5 indexed citations
15.
Greenig, Matthew. (2019). HERVs, immunity, and autoimmunity: understanding the connection. PeerJ. 7. e6711–e6711. 39 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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