J. Smith

599 citations
11 papers · 487 · h-index 9

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Virus-based gene therapy research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%

Papers in

J. Smith

11 papers receiving 450 citations

Peers

J. Smith
Comparison fields: 5 of 79
  • Genetics 140
  • Hematology 72
  • Nephrology 36
  • Immunology 108
  • Pathology and Forensic Medicine 62
Replace Shivi Jain with:
Shivi Jain India
E Kjærsgaard Denmark
Cécile Brachet Belgium
H. H. Peter Germany
Yoshiki Sugiura Japan
Yehudit Monselise Israel
James A. Esterly United States
F Bouissou France
Béatrice Pallot-Pradès France
Z Rolović Serbia
J. Smith relative to Shivi Jain India Shivi Jain's profile →
Citations per field
00.5×2×4×5.7×
Shivi Jain · 1×
Citations per year

Countries citing papers authored by J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1978176
2 2000104
3 199258
4 197241
5 198734
6 198726
7 199221
8 198513
9 201011
10 19692
11 20191

About J. Smith

J. Smith is a scholar working on Genetics, Epidemiology, Immunology, Surgery and Molecular Biology, having authored 11 papers that have together received 487 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (2 papers), Blood groups and transfusion (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Vascular Procedures and Complications (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (140 citations), Hematology (72 citations), Nephrology (36 citations), Immunology (108 citations) and Pathology and Forensic Medicine (62 citations). J. Smith has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Stephen A. Landaw, Paulding Phelps, Anthony S. Kurec, Frederick R. Davey, Arlan J. Gottlieb, D.S. Latchman, R. S. Coffin, Caroline E. Lilley, James A. Palmer and Mark J. Robinson. Their work appears in journals such as American Journal of Hematology, American Journal of Clinical Pathology, Journal of Virology, British Journal of Haematology and BJOG An International Journal of Obstetrics & Gynaecology.

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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