S. B. Marley

464 total citations
17 papers, 364 citations indexed

About

S. B. Marley is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, S. B. Marley has authored 17 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in S. B. Marley's work include Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). S. B. Marley is often cited by papers focused on Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). S. B. Marley collaborates with scholars based in United Kingdom and France. S. B. Marley's co-authors include M. Y. Gordon, Richard J. Davidson, John L. Lewis, J. L. Lewis, Nataša Levičar, Joanna P. Nicholls, Nagy Habib, T. A. S. Amos, John M. Goldman and J M Goldman and has published in prestigious journals such as Journal of Clinical Investigation, Infection and Immunity and Human Reproduction.

In The Last Decade

S. B. Marley

17 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. B. Marley United Kingdom	10	166	163	114	86	80	17	364
Mikiya Endo Japan	11	50 0.3×	134 0.8×	114 1.0×	39 0.5×	30 0.4×	27	350
Keiko Kagami Japan	11	61 0.4×	129 0.8×	130 1.1×	60 0.7×	17 0.2×	37	379
Marie Jaksch Sweden	12	58 0.3×	207 1.3×	123 1.1×	124 1.4×	112 1.4×	14	545
T. Tomioka Japan	9	46 0.3×	108 0.7×	177 1.6×	90 1.0×	14 0.2×	22	345
Jun Kuyama Japan	9	40 0.2×	198 1.2×	93 0.8×	34 0.4×	9 0.1×	17	327
Toshio Higa Japan	10	59 0.4×	211 1.3×	31 0.3×	43 0.5×	12 0.1×	27	324
Pasquale Barbaro Australia	10	48 0.3×	167 1.0×	133 1.2×	41 0.5×	24 0.3×	25	453
C Cabrol Switzerland	11	66 0.4×	201 1.2×	104 0.9×	42 0.5×	5 0.1×	34	363
G. Avanzi Italy	6	57 0.3×	203 1.2×	235 2.1×	23 0.3×	14 0.2×	16	391
JH Bourhis United States	8	77 0.5×	437 2.7×	151 1.3×	18 0.2×	17 0.2×	10	507

Countries citing papers authored by S. B. Marley

Since Specialization

Citations

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

Fields of papers citing papers by S. B. Marley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. B. Marley. 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 S. B. Marley. The network helps show where S. B. Marley may publish in the future.

Co-authorship network of co-authors of S. B. Marley

This figure shows the co-authorship network connecting the top 25 collaborators of S. B. Marley. A scholar is included among the top collaborators of S. B. Marley 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 S. B. Marley. S. B. Marley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Welsh, John, Nataša Levičar, S. B. Marley, et al.. (2008). High frequency of fetal cells within a primitive stem cell population in maternal blood. Human Reproduction. 23(4). 928–933. 36 indexed citations

Patel, Hetal, et al.. (2007). Subcellular distribution of p210BCR-ABL in CML cell lines and primary CD34+ CML cells. Leukemia. 22(3). 559–571. 10 indexed citations

Levičar, Nataša, Madhukar Pai, Nagy Habib, et al.. (2007). Long‐term clinical results of autologous infusion of mobilized adult bone marrow derived CD34⁺ cells in patients with chronic liver disease. Cell Proliferation. 41(s1). 115–125. 97 indexed citations

Marley, S. B., J. L. Lewis, Hans G. Schneider, Christopher E. Rudd, & M. Y. Gordon. (2004). Phosphatidylinositol‐3 kinase inhibitors reproduce the selective antiproliferative effects of imatinib on chronic myeloid leukaemia progenitor cells. British Journal of Haematology. 125(4). 500–511. 22 indexed citations

Marley, S. B., et al.. (2001). Peripheral blood progenitor cell mobilisation alters myeloid, but not erythroid, progenitor cell self-renewal kinetics. Bone Marrow Transplantation. 27(3). 241–248. 4 indexed citations

Gordon, M. Y., S. B. Marley, Richard J. Davidson, et al.. (2000). Contact-mediated inhibition of human haematopoietic progenitor cell proliferation may be conferred by stem cell antigen, CD34. The Hematology Journal. 1(2). 77–86. 16 indexed citations

Marley, S. B., et al.. (1999). Optimal timing for processing and cryopreservation of umbilical cord haematopoietic stem cells for clinical transplantation. Bone Marrow Transplantation. 23(2). 131–136. 28 indexed citations

Grand, Francis, Andrew Chase, Sameena Iqbal, et al.. (1998). A two-colorBCR–ABL probe that greatly reduces the false positive and false negative rates for fluorescence in situ hybridization in chronic myeloid leukemia. Genes Chromosomes and Cancer. 23(2). 109–115. 22 indexed citations

Gordon, M. Y., S. B. Marley, John L. Lewis, et al.. (1998). Treatment with interferon-alpha preferentially reduces the capacity for amplification of granulocyte-macrophage progenitors (CFU-GM) from patients with chronic myeloid leukemia but spares normal CFU-GM.. Journal of Clinical Investigation. 102(4). 710–715. 64 indexed citations

10.

Grand, Francis, Andrew Chase, Sameena Iqbal, et al.. (1998). A two‐color BCR–ABL probe that greatly reduces the false positive and false negative rates for fluorescence in situ hybridization in chronic myeloid leukemia. Genes Chromosomes and Cancer. 23(2). 109–115. 1 indexed citations

11.

Marley, S. B., et al.. (1997). CD34+ cell selection in chronic phase chronic myeloid leukaemia: a comparison of laboratory grade columns. Bone Marrow Transplantation. 20(5). 409–413. 8 indexed citations

12.

Gordon, M. Y., et al.. (1997). Stromal cells negatively regulate primitive haemopoietic progenitor cell activation via a phosphatidylinositol‐anchored cell adhesion/signalling mechanism. British Journal of Haematology. 96(3). 647–653. 25 indexed citations

13.

Marley, S. B., John L. Lewis, Mike Scott, J M Goldman, & M. Y. Gordon. (1996). Evaluation of ‘discordant maturation’ in chronic myeloid leukaemia using cultures of primitive progenitor cells and their production of clonogenic progeny (CFU‐GM). British Journal of Haematology. 95(2). 299–305. 9 indexed citations

14.

Marley, S. B., T. A. S. Amos, & M. Y. Gordon. (1996). Kinetics of colony formation by BFU‐E grown under different culture conditions in vitro. British Journal of Haematology. 92(3). 559–661. 7 indexed citations

15.

Marley, S. B., et al.. (1995). Phenotype and function of plastic-adherent progenitor cells in human hematopoietic tissue. 23(8). 817. 1 indexed citations

16.

Marley, S. B., Caroline Hadley, & D. Wakelin. (1995). Genetic variation in neutrophil accumulation in mice is not mediated through immigrant regulatory cells. Clinical & Experimental Immunology. 102(1). 224–228. 1 indexed citations

17.

Marley, S. B., et al.. (1994). Effect of genetic variation on induced neutrophilia in mice. Infection and Immunity. 62(10). 4304–4309. 13 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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