Sandra Orchard

43.9k citations
118 papers · 3.2k indexed · 1 hit paper · h-index 31
Topics
Bioinformatics and Genomic Networks (71 papers)Advanced Proteomics Techniques and Applications (58 papers)Biomedical Text Mining and Ontologies (37 papers)

In The Last Decade

Sandra Orchard

114 papers receiving 3.2k citations

Hit Papers

Non-coding RNA regulatory networks20192026202120232019100200300

Peers

Sandra Orchard
Comparison fields: 5 of 154
  • Molecular Biology 2.6k
  • Spectroscopy 799
  • Cancer Research 333
  • Cell Biology 196
  • Genetics 185
Replace Mark Williams with:
Mark Williams United Kingdom
Laurent Gatto Belgium
Harald Barsnes Norway
Carl F. Schaefer United States
Fabien Campagne United States
Samuel Payne United States
Marc Vaudel Norway
Vadim Demichev Germany
Andrew Hayes United Kingdom
Guanming Wu United States
Sandra Orchard relative to Mark Williams United Kingdom Mark Williams's profile →
Citations per field
00.5×2.8×
Mark Williams · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 11
6 4
7 42
8 16
9 30
10 4
11 25
12 4
13 20
14 9
15 85
16 16
17 13
18 5
19 12
20 4

About Sandra Orchard

Sandra Orchard is a scholar working on Spectroscopy, Molecular Biology and Information Systems and Management, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (71 papers), Advanced Proteomics Techniques and Applications (58 papers) and Biomedical Text Mining and Ontologies (37 papers). The work is most often cited by research in Spectroscopy (799 citations), Molecular Biology (2.6k citations) and Cancer Research (333 citations). Sandra Orchard has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Nature Biotechnology.

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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