RM Stone

1.2k citations
13 papers · 945 · h-index 9

Impact in

Papers in

RM Stone

12 papers receiving 919 citations

Peers

RM Stone
Comparison fields: 5 of 71
  • Hematology 510
  • Public Health, Environmental and Occupational Health 441
  • Genetics 105
  • Oncology 184
  • Pediatrics, Perinatology and Child Health 120
Replace Fumiharu Yagasaki with:
Fumiharu Yagasaki Japan
Anna Serra Italy
Isamu Sugiura Japan
Arlin Za United States
Francis Lacombe France
Pearl Leavitt United States
Andrew Peniket United Kingdom
A. Guerci France
Hélène Jouault France
Salvatore Palmieri Italy
RM Stone relative to Fumiharu Yagasaki Japan Fumiharu Yagasaki's profile →
Citations per field
00.5×1.5×2.4×
Fumiharu Yagasaki · 1×
Citations per year

Countries citing papers authored by RM Stone

Since Specialization
Citations

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

Fields of papers citing papers by RM Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1995455
2 1988108
3 198785
4 199481
5 199457
6 198853
7 201650
8 199039
9
A phase I study of intermittent continuous infusion high dose cytosine arabinoside for acute leukemia.
19909
10 19874
11
Use of CD33 monoclonal antibodies in bone marrow transplantation for acute myeloid leukemia.
19942
12
MRI of periprostatic venous plexus in staging of early prostatic carcinoma.
19881
13
Prevalent problems and treatment of pet birds.
19671

About RM Stone

RM Stone is a scholar working on Hematology, Molecular Biology, Oncology, Pharmacology and Genetics, having authored 13 papers that have together received 945 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Retinoids in leukemia and cellular processes (4 papers), Acute Lymphoblastic Leukemia research (2 papers), Drug-Induced Ocular Toxicity (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Bone and Joint Diseases (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Hematology (510 citations), Public Health, Environmental and Occupational Health (441 citations), Genetics (105 citations), Oncology (184 citations) and Pediatrics, Perinatology and Child Health (120 citations). RM Stone has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard A. Larson, RK Dodge, EJ Lee, Philip Schulman, SR Frankel, RE Sobol, FR Davey, CP Burns, DW Kufe and Eric Sariban. Their work appears in journals such as Blood, Clinical Pharmacology & Therapeutics and PubMed.

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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