Matthew J. Harris

1.4k total citations
27 papers, 1.0k citations indexed

About

Matthew J. Harris is a scholar working on Astronomy and Astrophysics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Matthew J. Harris has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 7 papers in Molecular Biology and 7 papers in Atmospheric Science. Recurrent topics in Matthew J. Harris's work include Ionosphere and magnetosphere dynamics (8 papers), Atmospheric Ozone and Climate (7 papers) and Solar and Space Plasma Dynamics (7 papers). Matthew J. Harris is often cited by papers focused on Ionosphere and magnetosphere dynamics (8 papers), Atmospheric Ozone and Climate (7 papers) and Solar and Space Plasma Dynamics (7 papers). Matthew J. Harris collaborates with scholars based in United Kingdom, United States and France. Matthew J. Harris's co-authors include R. V. Yelle, P. Lavvas, Tommi Koskinen, A. D. Aylward, G Ribeiro, Soirindhri Banerjee, Erdal Yiğit, P. Hartogh, Alexander S. Medvedev and R Swindell and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Matthew J. Harris

27 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Harris United Kingdom 14 481 334 177 149 140 27 1.0k
Matthias Ebert Germany 22 207 0.4× 360 1.1× 263 1.5× 98 0.7× 87 0.6× 55 2.1k
H Neumann United States 14 130 0.3× 214 0.6× 43 0.2× 49 0.3× 61 0.4× 39 1.0k
J. E. Dyson United Kingdom 26 1.7k 3.5× 299 0.9× 355 2.0× 7 0.0× 85 0.6× 156 2.7k
Xia Gao United States 15 729 1.5× 67 0.2× 12 0.1× 27 0.2× 91 0.7× 24 1.9k
Richard L. Crownover United States 15 27 0.1× 68 0.2× 70 0.4× 257 1.7× 121 0.9× 55 996
T. Obara Japan 29 2.1k 4.4× 135 0.4× 82 0.5× 16 0.1× 136 1.0× 131 3.5k
Stephen D. Griffiths United Kingdom 17 47 0.1× 43 0.1× 41 0.2× 21 0.1× 287 2.0× 41 1.0k
M. A. Van Dilla United States 28 179 0.4× 209 0.6× 40 0.2× 126 0.8× 12 0.1× 58 2.4k
Kazuyoshi Kumagai Japan 19 164 0.3× 49 0.1× 40 0.2× 23 0.2× 7 0.1× 54 990
Franco Perrone Italy 20 64 0.1× 180 0.5× 57 0.3× 65 0.4× 4 0.0× 71 1.2k

Countries citing papers authored by Matthew J. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Harris. A scholar is included among the top collaborators of Matthew J. Harris 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 J. Harris. Matthew J. Harris 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.
Illes‐Toth, Eva, et al.. (2023). Structural flexibility and heterogeneity of recombinant human glial fibrillary acidic protein (GFAP). Proteins Structure Function and Bioinformatics. 92(5). 649–664. 4 indexed citations
2.
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Harris, Matthew J., et al.. (2018). TssA from Aeromonas hydrophila: expression, purification and crystallographic studies. Acta Crystallographica Section F Structural Biology Communications. 74(9). 578–582. 1 indexed citations
4.
Nyíri, Kinga, Haydyn D. T. Mertens, Gergely Nagy, et al.. (2018). Structural model of human dUTPase in complex with a novel proteinaceous inhibitor. Scientific Reports. 8(1). 4326–4326. 20 indexed citations
5.
Harris, Matthew J., et al.. (2018). Quantitative Evaluation of Native Protein Folds and Assemblies by Hydrogen Deuterium Exchange Mass Spectrometry (HDX-MS). Journal of the American Society for Mass Spectrometry. 30(1). 58–66. 12 indexed citations
6.
Ahmad, Asma Hayati, Matthew J. Harris, Svetomir B. Tzokov, et al.. (2018). Structural insights into the function of type VI secretion system TssA subunits. Nature Communications. 9(1). 4765–4765. 35 indexed citations
7.
Koskinen, Tommi, P. Lavvas, Matthew J. Harris, & R. V. Yelle. (2014). Thermal escape from extrasolar giant planets. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 372(2014). 20130089–20130089. 21 indexed citations
8.
Koskinen, Tommi, R. V. Yelle, Matthew J. Harris, & P. Lavvas. (2012). The escape of heavy atoms from the ionosphere of HD209458b. II. Interpretation of the observations. Icarus. 226(2). 1695–1708. 68 indexed citations
9.
Yiğit, Erdal, Alexander S. Medvedev, A. D. Aylward, et al.. (2011). Dynamical effects of internal gravity waves in the equinoctial thermosphere. Journal of Atmospheric and Solar-Terrestrial Physics. 90-91. 104–116. 49 indexed citations
10.
Yiğit, Erdal, Alexander S. Medvedev, A. D. Aylward, P. Hartogh, & Matthew J. Harris. (2009). Modeling the effects of gravity wave momentum deposition on the general circulation above the turbopause. Journal of Geophysical Research Atmospheres. 114(D7). 123 indexed citations
11.
Cnossen, Ingrid, et al.. (2008). Modelled effect of changes in the CO2 concentration on the middle and upper atmosphere: Sensitivity to gravity wave parameterization. Journal of Atmospheric and Solar-Terrestrial Physics. 71(13). 1484–1496. 7 indexed citations
12.
Aylward, A. D., et al.. (2006). Three‐dimensional GCM modeling of nitric oxide in the lower thermosphere. Journal of Geophysical Research Atmospheres. 111(A7). 24 indexed citations
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Harris, Matthew J., Xavier Aubert, Reinhold Haeb‐Umbach, & Peter Beyerlein. (1999). A study of broadcast news audio stream segmentation and segment clustering. 1027–1030. 12 indexed citations
16.
Rees, D., et al.. (1998). Observations of thermospheric neutral winds within the polar cusp and the auroral oval using a Doppler imaging system (DIS). Annales Geophysicae. 16(11). 1461–1474. 3 indexed citations
17.
Magee, B., R Swindell, Matthew J. Harris, & Sube Banerjee. (1996). Prognostic factors for breast recurrence after conservative breast surgery and radiotherapy: results from a randomised trial. Radiotherapy and Oncology. 39(3). 223–227. 122 indexed citations
18.
Meredith, Nigel P., et al.. (1995). First summer results on winds in the upper mesosphere derived from the 843 nm hydroxyl emissions measured from the Bear Lake Observatory, Utah. Journal of Atmospheric and Terrestrial Physics. 57(9). 995–1008. 8 indexed citations
19.
Ribeiro, G, et al.. (1993). The christie hospital breast conservation trial: An update at 8 years from inception. Clinical Oncology. 5(5). 278–283. 213 indexed citations
20.
Sterling, Kenneth, et al.. (1983). Dexamethasone decreases the amounts of type I procollagen mRNAs in vivo and in fibroblast cell cultures.. Journal of Biological Chemistry. 258(12). 7644–7647. 58 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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