Jeremy D. Shearman

1.3k citations
15 papers · 944 indexed · 1 hit paper · h-index 10

Jeremy D. Shearman

14 papers receiving 908 citations

Hit Papers

Global prevalence of putative haemochromatosis mutations.6121997202620062016200400600

Peers

Jeremy D. Shearman
Comparison fields: 5 of 62
  • Hematology 767
  • Genetics 632
  • Nutrition and Dietetics 581
  • Rheumatology 116
  • Hepatology 46
Replace Alison T. Merryweather‐Clarke with:
Alison T. Merryweather‐Clarke United Kingdom
Angela Caleffi Italy
M. Cazzola Italy
A C Fay United Kingdom
M. Guzail United Kingdom
Maddalena Casale Italy
Thorkil Christensen Denmark
Cristina Gonçalves Portugal
C. Garner United Kingdom
Rafiou Agoro United States
Jeremy D. Shearman relative to Alison T. Merryweather‐Clarke United Kingdom Alison T. Merryweather‐Clarke's profile →
Citations per field
00.5×1.5×2.3×
Alison T. Merryweather‐Clarke · 1×
Citations per year

Countries citing papers authored by Jeremy D. Shearman

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy D. Shearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy D. Shearman. 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 Jeremy D. Shearman. The network helps show where Jeremy D. Shearman may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20247
2 202043
3 20097
4 199940
5 199872
6 19980
7 199810
8
A simple genetic test identifies 90% of UK patients with haemochromatosis
19976
9 19974
10 199722
11
Global prevalence of putative haemochromatosis mutations.breakdown →
1997612
12 199724
13 199563
14
URSODEOXYCHOLIC ACID IN PRIMARY SCLEROSING CHOLANGITIS - A DOUBLE-BLIND PLACEBO CONTROLLED TRIAL
199223
15
The effect of treatment with prednisolone or cyclophosphamide-warfarin-dipyridamole combination on the outcome of patients with membranous nephropathy.
198811

About Jeremy D. Shearman

Jeremy D. Shearman is a scholar working on Hematology, Genetics, Nutrition and Dietetics, Rheumatology and Nephrology, having authored 15 papers that have together received 944 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Iron Metabolism and Disorders (11 papers), Trace Elements in Health (6 papers), Folate and B Vitamins Research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), RNA modifications and cancer (1 paper), Eosinophilic Esophagitis (1 paper) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Hematology (767 citations), Genetics (632 citations), Nutrition and Dietetics (581 citations), Rheumatology (116 citations) and Hepatology (46 citations). Jeremy D. Shearman has collaborated with scholars based in United Kingdom, India and Australia. Frequent co-authors include Kathryn Robson, Alison T. Merryweather‐Clarke, J. J. Pointon, Jennifer J. Pointon, Mark Worwood, Adrian Bomford, Ruma Raha‐Chowdhury, Janice L. Atkins, Luke C. Pilling and David Melzer. Their work appears in journals such as British Journal of Haematology, Journal of Medical Genetics, Human Mutation, BMJ Open and Human Molecular 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026