Mark Hughes

3.6k total citations · 1 hit paper
16 papers, 921 citations indexed

About

Mark Hughes is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Immunology. According to data from OpenAlex, Mark Hughes has authored 16 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Immunology. Recurrent topics in Mark Hughes's work include Advanced Image and Video Retrieval Techniques (4 papers), Visual Attention and Saliency Detection (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). Mark Hughes is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Visual Attention and Saliency Detection (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). Mark Hughes collaborates with scholars based in Ireland, United Kingdom and United States. Mark Hughes's co-authors include Luke O'neill, Anne F. McGettrick, Peter F. Slivka, Svenja Hester, Sarah E. Corcoran, Marah C. Runtsch, Alan D. Irvine, Melanie C. Ruzek, Stefano Angiari and Kathy Banahan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cell Metabolism.

In The Last Decade

Mark Hughes

15 papers receiving 897 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.

The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation

2020 406 citations Alexander Hooftman, Stefano Angiari et al. Cell Metabolism profile →

Peers

Mark Hughes

MB

IMMUN

NEPHR

EPIDE

AI

Shinsuke Nakajima Japan

Adam P. Levine United Kingdom

Jennifer M. Hill United States

Richard Torres United States

Konstantinos Sidiropoulos United Kingdom

Takanori Fujita Japan

Wenan Chen United States

Mohamed Abouelhoda Saudi Arabia

Giovanni Iacono Italy

Peirong Chen China

Shinsuke Nakajima Japan

Mark Hughes

362 ×0.8

MB

274 ×0.8

IMMUN

51 ×0.6

NEPHR

68 ×0.8

EPIDE

125 ×1.8

AI

Citations per year, relative to Mark Hughes Mark Hughes (= 1×) peers Shinsuke Nakajima

Countries citing papers authored by Mark Hughes

Since Specialization

Citations

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

Fields of papers citing papers by Mark Hughes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Hughes

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Santi, Alice, Emily Kay, Lisa J. Neilson, et al.. (2024). Cancer-associated fibroblasts produce matrix-bound vesicles that influence endothelial cell function. Science Signaling. 17(827). eade0580–eade0580. 14 indexed citations

2.

Tummala, Padmaja, Jane E. Dahlstrom, Shuhei Takahashi, et al.. (2021). Glutathione transferase Omega 1 confers protection against azoxymethane-induced colorectal tumour formation. Carcinogenesis. 42(6). 853–863. 5 indexed citations

3.

Hooftman, Alexander, Stefano Angiari, Svenja Hester, et al.. (2020). The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation. Cell Metabolism. 32(3). 468–478.e7. 406 indexed citations breakdown →

4.

Hughes, Mark & Luke O'neill. (2017). Metabolic regulation of NLRP3. Immunological Reviews. 281(1). 88–98. 243 indexed citations

5.

Hughes, Mark, Anne F. McGettrick, & Luke O'neill. (2017). Glutathione and Glutathione Transferase Omega 1 as Key Posttranslational Regulators in Macrophages. Microbiology Spectrum. 5(1). 22 indexed citations

6.

Hughes, Mark, Rebecca C. Coll, Thomas Ve, et al.. (2017). Solution structure of the TLR adaptor MAL/TIRAP reveals an intact BB loop and supports MAL Cys91 glutathionylation for signaling. Proceedings of the National Academy of Sciences. 114(32). E6480–E6489. 31 indexed citations

7.

Zhu, Hui, et al.. (2016). Human Embryonic Stem Cell Lines with Lesions in FOXP3 and NF1. PLoS ONE. 11(3). e0151836–e0151836. 2 indexed citations

8.

Gurrin, Cathal, Mark Hughes, Niamh Caprani, et al.. (2013). The Smartphone As a Platform for Wearable Cameras in Health Research. American Journal of Preventive Medicine. 44(3). 308–313. 48 indexed citations

9.

Foster, Jennifer, et al.. (2013). Sentiment Analysis of Political Tweets: Towards an Accurate Classifier. Arrow@dit (Dublin Institute of Technology). 49–58. 79 indexed citations

10.

Hughes, Mark, et al.. (2012). A lifelogging approach to automated market research. Arrow@dit (Dublin Institute of Technology). 2 indexed citations

11.

Hughes, Mark, Gareth J. F. Jones, & Noel E. O’Connor. (2012). A study into annotation ranking metrics in geo-tagged image corpora. Arrow@dit (Dublin Institute of Technology). 2 indexed citations

12.

Hughes, Mark, Noel E. O’Connor, & Gareth J. F. Jones. (2012). A machine learning approach to determining tag relevance in geotagged Flickr imagery. 1–4. 1 indexed citations

13.

Allen, Shanley, Barbora Skarabela, & Mark Hughes. (2008). Using corpora to examine discourse effects in syntax. 99–137. 29 indexed citations

14.

Hughes, Mark. (2008). A Social Framework for the Organisation and Automated Annotation of Personal Photo Collections. 112–115.

15.

Doherty, Aiden, Daragh Byrne, Alan F. Smeaton, Gareth J. F. Jones, & Mark Hughes. (2008). Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs. 259–268. 36 indexed citations

16.

Puntis, M. C. A. & Mark Hughes. (1984). The use of a BBC microcomputer in computer-aided learning. Journal of Microcomputer Applications. 7(3-4). 353–356. 1 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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