Tom A Vale

1.4k citations
10 papers · 991 · 1 hit paper · h-index 9

Impact in

  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology
    • Forensic and Genetic Research
    • Immunodeficiency and Autoimmune Disorders

Papers in

Tom A Vale

10 papers receiving 967 citations

Tom A Vale's Hit Papers

Whole-genome sequencing of patients with rare diseases in a national health system 2020 · 418 citations
4180+2+4Years since publication100200300400

Peers

Tom A Vale
Comparison fields: 5 of 79
  • Genetics 313
  • Immunology 127
  • Physiology 98
  • Molecular Biology 232
  • Hematology 46
Replace Rhea Yan Ying Tan with:
Rhea Yan Ying Tan United Kingdom
Grant Hayman United Kingdom
Steven Okoli United Kingdom
Elizabeth Colby United Kingdom
Julie Wessels United Kingdom
Katherine Yates United Kingdom
Catherine Roughley United Kingdom
Anna M. Drazyk United Kingdom
Abigail Furnell United Kingdom
Janine Collins United Kingdom
Tom A Vale relative to Rhea Yan Ying Tan United Kingdom Rhea Yan Ying Tan's profile →
Citations per field
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Rhea Yan Ying Tan · 1×
Citations per year

Countries citing papers authored by Tom A Vale

Since Specialization
Citations

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

Fields of papers citing papers by Tom A Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom A Vale. 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 Tom A Vale. The network helps show where Tom A Vale may publish in the future.

Co-authors

The 13 scholars most cited alongside Tom A Vale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom A Vale Line = papers co-authored together Tom A Vale links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Whole-genome sequencing of patients with rare diseases in a national health system
Hit paper breakdown →
2020418
2 2020179
3 2019178
4 201856
5 201751
6 202037
7 202230
8 202121
9 202315
10 20236

About Tom A Vale

Tom A Vale is a scholar working on Physiology, Anesthesiology and Pain Medicine, Neurology, Genetics and Hepatology, having authored 10 papers that have together received 991 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Peripheral Neuropathies and Disorders (2 papers), Pain Management and Treatment (2 papers), Genomics and Rare Diseases (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Pregnancy and preeclampsia studies (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Genetics (313 citations), Immunology (127 citations), Physiology (98 citations), Molecular Biology (232 citations) and Hematology (46 citations). Tom A Vale has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include David Bennett, Andrew S.C. Rice, Michael J. Polydefkis, Andreas C. Themistocleous, Mkael Symmonds, Janev Fehmi, Stephen Keddie, Simon Rinaldi, Matthew J. Maley and Heather C. Massey. Their work appears in journals such as Nature, Scientific Reports, Nature Communications, Brain Communications and Science.

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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