Lon Smith

1.0k citations
6 papers · 769 · 1 hit paper · h-index 5

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

Lon Smith

6 papers receiving 738 citations

Lon Smith's Hit Papers

Effective Treatment of Advanced Multiple Myeloma Refractory to Alkylating Agents 1984 · 500 citations
5000+14+28Years since publication100200300400500

Peers

Lon Smith
Comparison fields: 5 of 56
  • Hematology 604
  • Oncology 399
  • Genetics 106
  • Molecular Biology 427
  • Pathology and Forensic Medicine 52
Replace Sonia Ronconi with:
Sonia Ronconi Italy
RA Kyle United States
K Schiffman United States
D Samson United Kingdom
T. Karakas Germany
Lorenz Kleeberg Germany
DH Vesole United States
JD Tigaud France
Hiroyuki Takahira Japan
J A Katzmann United States
Lon Smith relative to Sonia Ronconi Italy Sonia Ronconi's profile →
Citations per field
00.5×1.5×
Sonia Ronconi · 1×
Citations per year

Countries citing papers authored by Lon Smith

Since Specialization
Citations

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

Fields of papers citing papers by Lon Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Lon 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 Lon Smith Line = papers co-authored together Lon Smith links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Lon Smith

Lon Smith is a scholar working on Hematology, Molecular Biology, Oncology, Surgery and Genetics, having authored 6 papers that have together received 769 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (4 papers), Pancreatic function and diabetes (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Bone health and treatments (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (604 citations), Oncology (399 citations), Genetics (106 citations), Molecular Biology (427 citations) and Pathology and Forensic Medicine (52 citations). Lon Smith has collaborated with scholars based in United States and Spain. Frequent co-authors include Raymond Alexanian, Bart Barlogie, B Barlogie, R Alexanian, Mark A. Pershouse, L Smallwood, Isaiah J. Fidler, Patricia Troncoso, Corazon D. Bucana and Michael J. Morris. Their work appears in journals such as CA A Cancer Journal for Clinicians, Journal of Clinical Investigation, The American Journal of Medicine, Clinical Cancer Research and New England Journal of Medicine.

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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