Sandra Orchard

43.9k total citations · 1 hit paper
118 papers, 3.2k citations indexed

About

Sandra Orchard is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Sandra Orchard has authored 118 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 58 papers in Spectroscopy and 10 papers in Computational Theory and Mathematics. Recurrent topics in Sandra Orchard's work include Bioinformatics and Genomic Networks (71 papers), Advanced Proteomics Techniques and Applications (58 papers) and Biomedical Text Mining and Ontologies (37 papers). Sandra Orchard is often cited by papers focused on Bioinformatics and Genomic Networks (71 papers), Advanced Proteomics Techniques and Applications (58 papers) and Biomedical Text Mining and Ontologies (37 papers). Sandra Orchard collaborates with scholars based in United Kingdom, United States and Switzerland. Sandra Orchard's co-authors include Henning Hermjakob, Pablo Porras, Rolf Apweiler, Simona Panni, Ruth C. Lovering, Rossana Zaru, Pierre‐Alain Binz, Maria Victoria Schneider, Randall K. Julian and Eric W. Deutsch and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Nature Biotechnology.

In The Last Decade

Sandra Orchard

114 papers receiving 3.2k citations

Hit Papers

Non-coding RNA regulatory networks 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Orchard United Kingdom 31 2.6k 799 333 196 185 118 3.2k
Mark Williams United Kingdom 19 1.8k 0.7× 287 0.4× 171 0.5× 87 0.4× 311 1.7× 32 2.4k
Marc Vaudel Norway 29 1.7k 0.6× 1.0k 1.3× 171 0.5× 122 0.6× 228 1.2× 77 2.7k
Carl F. Schaefer United States 23 1.7k 0.7× 238 0.3× 295 0.9× 109 0.6× 226 1.2× 43 2.7k
Alan J. Robinson United Kingdom 34 3.1k 1.2× 127 0.2× 175 0.5× 197 1.0× 176 1.0× 61 4.1k
Samuel Payne United States 34 2.7k 1.0× 1.6k 2.0× 114 0.3× 201 1.0× 224 1.2× 108 4.0k
Harald Barsnes Norway 26 1.8k 0.7× 1.1k 1.4× 101 0.3× 106 0.5× 126 0.7× 68 2.4k
Andrew Chatr‐aryamontri United States 18 4.7k 1.8× 270 0.3× 351 1.1× 386 2.0× 463 2.5× 29 5.5k
Laurent Gatto Belgium 31 2.1k 0.8× 1.0k 1.3× 149 0.4× 357 1.8× 174 0.9× 75 3.0k
Vadim Demichev Germany 19 2.0k 0.8× 1.1k 1.4× 172 0.5× 147 0.8× 166 0.9× 36 2.8k
Livia Perfetto Italy 17 2.0k 0.8× 186 0.2× 146 0.4× 153 0.8× 142 0.8× 43 2.3k

Countries citing papers authored by Sandra Orchard

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Orchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Orchard

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Orchard. A scholar is included among the top collaborators of Sandra Orchard 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 Sandra Orchard. Sandra Orchard 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.
Panneerselvam, Kalpana, Krishna Kumar Tiwari, Luana Licata, et al.. (2025). Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for Drug Discovery. PROTEOMICS. 25(21-22). 102–150.
2.
Zheng, Chenfei, Jonathan M. Mudge, Michele Magrane, et al.. (2025). Evaluation of PE5 Entries on the Human Proteome Project Target List. Journal of Proteome Research. 24(7). 3507–3533.
3.
Oostrum, Marc van, Danish Memon, Fabian Frommelt, et al.. (2025). A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes. Nature Biotechnology. 4 indexed citations
4.
Panneerselvam, Kalpana, Pablo Porras, Noemí del‐Toro, et al.. (2024). IntAct Database for Accessing IMEx's Contextual Metadata of Molecular Interactions. Current Protocols. 4(10). e70018–e70018. 3 indexed citations
5.
Omenn, Gilbert S., Lydie Lane, Christopher M. Overall, et al.. (2024). The 2023 Report on the Proteome from the HUPO Human Proteome Project. Journal of Proteome Research. 23(2). 532–549. 11 indexed citations
6.
Omenn, Gilbert S., Sandra Orchard, Lydie Lane, et al.. (2024). The 2024 Report on the Human Proteome from the HUPO Human Proteome Project. Journal of Proteome Research. 23(12). 5296–5311. 4 indexed citations
7.
Barrio‐Hernandez, Inigo, Jeremy Schwartzentruber, Anjali Shrivastava, et al.. (2023). Network expansion of genetic associations defines a pleiotropy map of human cell biology. Nature Genetics. 55(3). 389–398. 42 indexed citations
8.
Bowler-Barnett, Emily, Jun Fan, Jie Luo, et al.. (2023). UniProt and Mass Spectrometry-Based Proteomics—A 2-Way Working Relationship. Molecular & Cellular Proteomics. 22(8). 100591–100591. 16 indexed citations
9.
Thakur, Matthew, Alex Bateman, Cath Brooksbank, et al.. (2022). EMBL’s European Bioinformatics Institute (EMBL-EBI) in 2022. Nucleic Acids Research. 51(D1). D9–D17. 30 indexed citations
10.
Meldal, Birgit, Carles Pons, Livia Perfetto, et al.. (2021). Analysing the yeast complexome—the Complex Portal rising to the challenge. Nucleic Acids Research. 49(6). 3156–3167. 4 indexed citations
11.
Perfetto, Livia, Chiara Pastrello, Noemí del‐Toro, et al.. (2020). The IMEx coronavirus interactome: an evolving map of Coronaviridae –host molecular interactions. Database. 2020. 25 indexed citations
12.
Bye‐A‐Jee, Hema, Rossana Zaru, Michele Magrane, & Sandra Orchard. (2020). Caenorhabditis elegans phosphatase complexes in UniProtKB and Complex Portal. FEBS Journal. 287(13). 2664–2684. 4 indexed citations
13.
Perfetto, Livia, Márcio Luís Acencio, Glyn Bradley, et al.. (2019). CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination. Bioinformatics. 35(19). 3779–3785. 20 indexed citations
14.
Wong, Edith D., Marek S. Skrzypek, Shuai Weng, et al.. (2019). Integration of macromolecular complex data into theSaccharomycesGenome Database. Database. 2019. 9 indexed citations
15.
Deutsch, Eric W., Lydie Lane, Christopher M. Overall, et al.. (2019). Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. Journal of Proteome Research. 18(12). 4108–4116. 85 indexed citations
16.
Panni, Simona, Ananth Prakash, Alex Bateman, & Sandra Orchard. (2017). The yeast noncoding RNA interaction network. RNA. 23(10). 1479–1492. 16 indexed citations
17.
Licata, Luana & Sandra Orchard. (2016). The MIntAct Project and Molecular Interaction Databases. Methods in molecular biology. 1415. 55–69. 13 indexed citations
18.
Orchard, Sandra & Peipei Ping. (2009). HUPO World Congress Publication Committee Meeting August 2008, Amsterdam, The Netherlands. PROTEOMICS. 9(3). 502–503. 5 indexed citations
19.
Orchard, Sandra, Christine Hoogland, Amos Bairoch, et al.. (2009). Managing the Data Explosion A Report on the HUPO‐PSI Workshop August 2008, Amsterdam, The Netherlands. PROTEOMICS. 9(3). 499–501. 12 indexed citations
20.
Orchard, Sandra & Chris Taylor. (2008). Debunking minimum information myths: one hat need not fit all. New Biotechnology. 25(4). 171–172. 4 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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