Steve Smith

848 citations
10 papers · 627 · h-index 6

Impact in

  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

Steve Smith

9 papers receiving 595 citations

Peers

Steve Smith
Comparison fields: 5 of 53
  • Genetics 478
  • Hematology 233
  • Rheumatology 187
  • Molecular Biology 298
  • Infectious Diseases 70
Replace Árpád Bátai with:
Árpád Bátai Hungary
Maria Mastri United States
S. R. Hayman United States
M. Q. Lacy United States
Etsuko Aoki United States
Marcela Vlková Czechia
S. Murphy United States
Amine Belhabri France
Satoko Oka Japan
Angela Martin United States
Steve Smith relative to Árpád Bátai Hungary Árpád Bátai's profile →
Citations per field
00.5×5.1×
Árpád Bátai · 1×
Citations per year

Countries citing papers authored by Steve Smith

Since Specialization
Citations

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

Fields of papers citing papers by Steve Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2005489
2 201679
3 200024
4 198916
5 19927
6 20056
7 20044
8 20031
9 19881
10 20230

About Steve Smith

Steve Smith is a scholar working on Genetics, Pathology and Forensic Medicine, Dermatology, Infectious Diseases and Molecular Biology, having authored 10 papers that have together received 627 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (1 paper), Tuberculosis Research and Epidemiology (1 paper), Allergic Rhinitis and Sensitization (1 paper), Mycobacterium research and diagnosis (1 paper), Photodynamic Therapy Research Studies (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Genetics (478 citations), Hematology (233 citations), Rheumatology (187 citations), Molecular Biology (298 citations) and Infectious Diseases (70 citations). Steve Smith has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include D. Bareford, Donald Milligan, Elaine Boyd, Joanne Marsden, Keith Wheatley, Anthony J. Bench, Claire Harrison, John T. Reilly, Wendy N. Erber and Georgina Buck. Their work appears in journals such as British Journal of Haematology, Blood, The Lancet, Journal of Pharmacology and Experimental Therapeutics and British Journal of Dermatology.

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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