James D. Sutherland

4.2k total citations
61 papers, 2.0k citations indexed

About

James D. Sutherland is a scholar working on Molecular Biology, Archeology and Genetics. According to data from OpenAlex, James D. Sutherland has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Archeology and 11 papers in Genetics. Recurrent topics in James D. Sutherland's work include Ubiquitin and proteasome pathways (20 papers), Paleopathology and ancient diseases (12 papers) and Forensic Anthropology and Bioarchaeology Studies (8 papers). James D. Sutherland is often cited by papers focused on Ubiquitin and proteasome pathways (20 papers), Paleopathology and ancient diseases (12 papers) and Forensic Anthropology and Bioarchaeology Studies (8 papers). James D. Sutherland collaborates with scholars based in Spain, United States and Egypt. James D. Sutherland's co-authors include Rosa Barrio, Walter Witke, Fotis C. Kafatos, Monika González-Lopez, Tatiana Kozlova, George Tzertzinis, David J. Kwiatkowski, Arlene H. Sharpe, Maya Arai and Manuel S. Rodríguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

James D. Sutherland

57 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Sutherland Spain 23 1.1k 329 308 306 236 61 2.0k
Joseph G. Hacia United States 29 2.2k 2.0× 76 0.2× 69 0.2× 598 2.0× 124 0.5× 51 3.1k
Carlo Rivolta Switzerland 36 2.9k 2.6× 392 1.2× 425 1.4× 878 2.9× 270 1.1× 123 3.7k
José Fernández‐Piqueras Spain 24 1.2k 1.1× 93 0.3× 69 0.2× 253 0.8× 176 0.7× 90 2.0k
Andreas Jenny United States 31 2.9k 2.6× 259 0.8× 1.1k 3.5× 771 2.5× 123 0.5× 56 3.5k
Hirokazu Kotani Japan 23 1.8k 1.6× 553 1.7× 882 2.9× 217 0.7× 214 0.9× 74 2.9k
John M. Neveu United States 17 704 0.6× 114 0.3× 162 0.5× 75 0.2× 217 0.9× 24 1.4k
Peter Little United Kingdom 27 1.6k 1.4× 127 0.4× 201 0.7× 666 2.2× 77 0.3× 77 2.2k
Anna González‐Neira Spain 28 1.1k 1.0× 57 0.2× 36 0.1× 843 2.8× 81 0.3× 80 2.2k
Rina Rosin‐Arbesfeld Israel 24 1.7k 1.5× 125 0.4× 256 0.8× 274 0.9× 164 0.7× 57 2.2k
Ignasi Forné Germany 30 2.2k 2.0× 141 0.4× 162 0.5× 262 0.9× 262 1.1× 101 3.0k

Countries citing papers authored by James D. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by James D. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Sutherland. 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 James D. Sutherland. The network helps show where James D. Sutherland may publish in the future.

Co-authorship network of co-authors of James D. Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Sutherland. A scholar is included among the top collaborators of James D. Sutherland 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 James D. Sutherland. James D. Sutherland 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.
Chen, Haifeng, Rocío Seoane, Anxo Vidal, et al.. (2025). SUMOylation of the lysine-less tumor suppressor p14ARF counters ubiquitylation-dependent degradation. Cell Death and Disease. 16(1). 519–519.
2.
Xolalpa, Wendy, Raimundo Freire, Julie Guillermet‐Guibert, et al.. (2025). Role of TRIM24 in the regulation of proteasome-autophagy crosstalk in bortezomib-resistant mantle cell lymphoma. Cell Death Discovery. 11(1). 108–108. 1 indexed citations
3.
Seoane, Rocío, Antonia María Romero, Manuel S. Rodríguez, et al.. (2024). SUMOylation modulates eIF5A activities in both yeast and pancreatic ductal adenocarcinoma cells. Cellular & Molecular Biology Letters. 29(1). 15–15. 3 indexed citations
4.
Ramírez, Juanma, et al.. (2023). Biotin‐Based Strategies to Explore the World of Ubiquitin and Ubiquitin‐Like Modifiers. ChemBioChem. 25(6). e202300746–e202300746. 3 indexed citations
5.
Pérez, Coralia, Elena Maspero, Mikel Azkargorta, et al.. (2023). BioE3 identifies specific substrates of ubiquitin E3 ligases. Nature Communications. 14(1). 7656–7656. 27 indexed citations
6.
Mayor, Ugo, et al.. (2022). SUMO-ID: A Strategy for the Identification of SUMO-Dependent Proximal Interactors. Methods in molecular biology. 2602. 177–189. 2 indexed citations
7.
Cortázar, Ana R., Coralia Pérez, Mikel Azkargorta, et al.. (2021). Identification of proximal SUMO-dependent interactors using SUMO-ID. Nature Communications. 12(1). 6671–6671. 34 indexed citations
8.
Barrio, Rosa, James D. Sutherland, & Manuel S. Rodríguez. (2020). Proteostasis and disease : from basic mechanisms to clinics. SPIRE - Sciences Po Institutional REpository. 4 indexed citations
9.
Valcárcel-Jiménez, Lorea, Natalia Martín-Martín, Ana R. Cortázar, et al.. (2018). Integrative analysis of transcriptomics and clinical data uncovers the tumor-suppressive activity of MITF in prostate cancer. Cell Death and Disease. 9(10). 1041–1041. 15 indexed citations
10.
Bozal‐Basterra, Laura, Itziar Martín‐Ruiz, Yinwen Liang, et al.. (2018). Truncated SALL1 Impedes Primary Cilia Function in Townes-Brocks Syndrome. The American Journal of Human Genetics. 102(2). 249–265. 29 indexed citations
11.
Martinez, Aitor, Benoît Lectez, Juanma Ramírez, et al.. (2017). Quantitative proteomic analysis of Parkin substrates in Drosophila neurons. Molecular Neurodegeneration. 12(1). 29–29. 60 indexed citations
12.
Xolalpa, Wendy, et al.. (2016). Analysis of SUMOylated Proteins in Cells and In Vivo Using the bioSUMO Strategy. Methods in molecular biology. 1475. 161–169. 4 indexed citations
13.
Lopitz‐Otsoa, Fernando, et al.. (2014). The RING ubiquitin E3 RNF114 interacts with A20 and modulates NF-κB activity and T-cell activation. Cell Death and Disease. 5(8). e1399–e1399. 46 indexed citations
14.
Gradilla, Ana‐Citlali, Esperanza González, Irene Seijo-Barandiarán, et al.. (2014). Exosomes as Hedgehog carriers in cytoneme-mediated transport and secretion. Nature Communications. 5(1). 5649–5649. 163 indexed citations
15.
Thompson, Randall C., Adel H. Allam, L. Samüel Wann, et al.. (2014). Is atherosclerosis fundamental to human aging? Lessons from ancient mummies. Journal of Cardiology. 63(5). 329–334. 22 indexed citations
16.
Sutherland, M. Linda, Samantha L. Cox, Guido Lombardi, et al.. (2014). Funerary Artifacts, Social Status, and Atherosclerosis in Ancient Peruvian Mummy Bundles. Global Heart. 9(2). 219–219. 8 indexed citations
17.
Allam, Adel H., Randall C. Thompson, L. Samüel Wann, et al.. (2011). Atherosclerosis in Ancient Egyptian Mummies. JACC. Cardiovascular imaging. 4(4). 315–327. 101 indexed citations
18.
Carnero, Elena, James D. Sutherland, & Puri Fortes. (2011). Adenovirus and miRNAs. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1809(11-12). 660–667. 18 indexed citations
19.
Martín‐Ruiz, Itziar, et al.. (2011). Efficient Allele-Specific Targeting of LRRK2 R1441 Mutations Mediated by RNAi. PLoS ONE. 6(6). e21352–e21352. 32 indexed citations
20.
Sutherland, James D., et al.. (1991). Evaluation of anionic histological dyes as co-injectable cell markers in pre-implantation mouse embryos. The International Journal of Developmental Biology. 35(1). 57–62.

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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