R. M. Stone

447 total citations
13 papers, 304 citations indexed

About

R. M. Stone is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, R. M. Stone has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 6 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in R. M. Stone's work include Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (3 papers). R. M. Stone is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (3 papers). R. M. Stone collaborates with scholars based in United States and Germany. R. M. Stone's co-authors include Lindsey R. Baden, Francisco M. Marty, Bruce A. Koplan, Joel T. Katz, David R. Spriggs, Donald Küfe, Thea Kølsen Fischer, P S Cohen, Charles A. Schiffer and Ron Paquette and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

R. M. Stone

13 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. M. Stone United States 9 189 129 60 45 44 13 304
Rebeca Rodríguez‐Veiga Spain 10 171 0.9× 147 1.1× 49 0.8× 45 1.0× 117 2.7× 39 326
Alun Parsons Finland 10 152 0.8× 174 1.3× 46 0.8× 42 0.9× 53 1.2× 18 304
José Falantes Spain 10 198 1.0× 88 0.7× 44 0.7× 34 0.8× 63 1.4× 29 291
Giovanni Rossi Italy 11 145 0.8× 78 0.6× 59 1.0× 66 1.5× 35 0.8× 27 276
Etsuko Aoki United States 8 136 0.7× 174 1.3× 86 1.4× 43 1.0× 54 1.2× 16 364
Sigrid Machherndl‐Spandl Austria 8 159 0.8× 87 0.7× 63 1.1× 30 0.7× 38 0.9× 36 248
Esther Schuler Germany 11 175 0.9× 57 0.4× 82 1.4× 34 0.8× 40 0.9× 20 269
James M. Rossetti United States 10 256 1.4× 195 1.5× 137 2.3× 34 0.8× 42 1.0× 37 384
RS Weinberg United States 6 200 1.1× 188 1.5× 88 1.5× 31 0.7× 18 0.4× 11 322
G. Bug Germany 5 235 1.2× 98 0.8× 87 1.4× 34 0.8× 36 0.8× 7 287

Countries citing papers authored by R. M. Stone

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. M. Stone

This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Stone. A scholar is included among the top collaborators of R. M. Stone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. M. Stone. R. M. Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Niederwieser, Christian, Deedra Nicolet, Andrew J. Carroll, et al.. (2016). Chromosome abnormalities at onset of complete remission are associated with worse outcome in patients with acute myeloid leukemia and an abnormal karyotype at diagnosis: CALGB 8461 (Alliance). Haematologica. 101(12). 1516–1523. 13 indexed citations
2.
3.
Bejar, Rafael, Kristen E. Stevenson, Petar Stojanov, et al.. (2013). O-024 Next-generation sequencing of 213 MDS patient samples identifies mutation profiles associated with response to hypomethylating agents and overall survival. Leukemia Research. 37. S19–S20. 5 indexed citations
4.
5.
Marty, Francisco M., et al.. (2007). Torsades de pointes associated with voriconazole use. Transplant Infectious Disease. 9(1). 33–36. 49 indexed citations
6.
Stone, R. M., et al.. (2004). A Phase I, pharmacokinetic (PK) and pharmacodynamic (PD) study of a novel histone deacetylase inhibitor LAQ824 in patients with hematologic malignancies. Journal of Clinical Oncology. 22(14_suppl). 3024–3024. 6 indexed citations
8.
Ottmann, Oliver G., R. M. Stone, Roman Pfeifer, et al.. (2004). A Phase I, pharmacokinetic (PK) and pharmacodynamic (PD) study of a novel histone deacetylase inhibitor LAQ824 in patients with hematologic malignancies. Journal of Clinical Oncology. 22(14_suppl). 3024–3024. 11 indexed citations
9.
Stone, R. M.. (2002). The Difficult Problem of Acute Myeloid Leukemia in the Older Adult. CA A Cancer Journal for Clinicians. 52(6). 363–371. 83 indexed citations
10.
Hahn, William C., et al.. (1997). Diagnosis in Oncology. Leukemia cutis.. Journal of Clinical Oncology. 15(5). 2170–2171. 5 indexed citations
11.
Hsu, Hui‐Chi, Kuender D. Yang, Surender Kharbanda, et al.. (1993). All-trans retinoic acid induces monocyte growth factor receptor (c-fms) gene expression in HL-60 leukemia cells.. PubMed. 7(3). 458–62. 15 indexed citations
12.
Stone, R. M.. (1992). Hematopoietic growth factors and leukemia. Current Opinion in Oncology. 4(1). 33–44. 4 indexed citations
13.
Spriggs, David R., R. M. Stone, & Donald Küfe. (1987). Treatment for Myelodysplastic Syndromes. The Lancet. 330(8561). 717–719. 20 indexed citations

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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