JS Dooley

433 citations
13 papers · 371 · h-index 8

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Cancer-related Molecular Pathways 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

JS Dooley

13 papers receiving 364 citations

Peers

JS Dooley
Comparison fields: 5 of 28
  • Hematology 190
  • Genetics 166
  • Nutrition and Dietetics 154
  • Cancer Research 77
  • Hepatology 33
Replace Karin Bents with:
Karin Bents Germany
Samuel Quentin France
Jong Ho Chun South Korea
Danko Martincic United States
Lars Steinmüller‐Magin Germany
Naomi Monden Japan
Evangelos Dalakas United Kingdom
U. Flucke Germany
Ai‐Min Xu China
Sabrina Boggi Italy
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Citations per field
00.5×1.5×
Karin Bents · 1×
Citations per year

Countries citing papers authored by JS Dooley

Since Specialization
Citations

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

Fields of papers citing papers by JS Dooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside JS Dooley, 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 JS Dooley Line = papers co-authored together JS Dooley links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
A simple genetic test identifies 90% of UK patients with haemochromatosis
1997179
2 199160
3 199228
4 199325
5 199417
6 199717
7 199314
8 199211
9
CIRCULATING CYFRA 21-1 IS A HIGHLY SPECIFIC DIAGNOSTIC AND PROGNOSTIC BIOMARKER IN BILIARY TRACT CANCER
20096
10
A simple genetic test identifies 90% of UK patients with haemochromatosis
19976
11
Chromosome 17 allele loss in hepatocellular carcinoma but not in synchronous liver adenoma.
19934
12 19933
13
Liver function profiles and their interpretation.
19941

About JS Dooley

JS Dooley is a scholar working on Oncology, Surgery, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 13 papers that have together received 371 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Iron Metabolism and Disorders (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Cancer-related Molecular Pathways (2 papers), RNA modifications and cancer (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Hematology (190 citations), Genetics (166 citations), Nutrition and Dietetics (154 citations), Cancer Research (77 citations) and Hepatology (33 citations). JS Dooley has collaborated with scholars based in United Kingdom. Frequent co-authors include C. B. Wood, L Bowles, JDA Delhanty, Mark Worwood, William Rosenberg, Ruma Raha‐Chowdhury, AK Burnett, Robin Williams, Ann P. Walker and Judith Partridge. Their work appears in journals such as British Journal of Cancer, Gut, The Lancet, International Journal of Oncology and British journal of surgery.

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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