Sara Wells

2.2k citations
11 papers · 431 indexed · 1 hit paper · h-index 8
Topics
Biomedical Text Mining and Ontologies (5 papers)Single-cell and spatial transcriptomics (3 papers)Bioinformatics and Genomic Networks (3 papers)

In The Last Decade

Sara Wells

9 papers receiving 430 citations

Hit Papers

The International Mouse Phenotyping Consortium: comprehen...2022202620232024202250100150

Peers

Sara Wells
Comparison fields: 5 of 83
  • Molecular Biology 310
  • Genetics 109
  • Cancer Research 53
  • Physiology 27
  • Immunology 25
Replace Dario Nicetto with:
Dario Nicetto United States
Liwei Guo China
Philip Snell United Kingdom
Muriel Lee United Kingdom
Go Shioi Japan
James P. Reddington United Kingdom
Julia Schaft Germany
Amrita Mandal United States
Julia Tischler Austria
Anika Böttcher Germany
Sara Wells relative to Dario Nicetto United States Dario Nicetto's profile →
Citations per field
00.5×1.5×
Dario Nicetto · 1×
Citations per year

Countries citing papers authored by Sara Wells

Since Specialization
Citations

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

Fields of papers citing papers by Sara Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Wells

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4
The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human diseasebreakdown →
171
5 45
6 32
7 34
8 71
9 51
10 16
11
Possible dialyzer hypersensitivity.
10

About Sara Wells

Sara Wells is a scholar working on Molecular Biology, Genetics and Hematology, having authored 11 papers that have together received 431 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Aging (15 citations), Molecular Biology (310 citations) and Genetics (109 citations). Sara Wells has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Ann‐Marie Mallon, Damian Smedley, Tudor Groza, Federico López, Violeta Muñoz‐Fuentes, Pilar Cacheiro, Helen Parkinson, Luís Santos, Robert Wilson and Piia Keskivali-Bond. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Reviews Genetics.

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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