R.L. Stallings

707 total citations
9 papers, 269 citations indexed

About

R.L. Stallings is a scholar working on Epidemiology, Genetics and Molecular Biology. According to data from OpenAlex, R.L. Stallings has authored 9 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in R.L. Stallings's work include Acute Myeloid Leukemia Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Neuroblastoma Research and Treatments (2 papers). R.L. Stallings is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Neuroblastoma Research and Treatments (2 papers). R.L. Stallings collaborates with scholars based in Ireland, United Kingdom and United States. R.L. Stallings's co-authors include M. Mullarkey, Michael McDermott, Anne O’Meara, Fin Breatnach, Julie Howard, Amro Widaa, Garry P. Duffy, Fergal J. O’Brien, Karen M. Watters and Aengus O’Marcaigh and has published in prestigious journals such as Stem Cells, Journal of Autism and Developmental Disorders and British Journal of Haematology.

In The Last Decade

R.L. Stallings

9 papers receiving 264 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.L. Stallings Ireland 8 97 81 73 43 42 9 269
Cynthia A. Ballenger United States 6 160 1.6× 104 1.3× 27 0.4× 31 0.7× 50 1.2× 6 528
Jamie K. Hu United States 8 129 1.3× 19 0.2× 33 0.5× 45 1.0× 21 0.5× 17 298
Neha U. Patel United States 9 77 0.8× 29 0.4× 97 1.3× 31 0.7× 11 0.3× 12 274
Avigail Rein Israel 5 95 1.0× 30 0.4× 44 0.6× 43 1.0× 7 0.2× 6 289
Roelofje J. van der Worp Netherlands 13 159 1.6× 43 0.5× 49 0.7× 12 0.3× 18 0.4× 18 516
Karen Dyer Montgomery United States 7 301 3.1× 36 0.4× 24 0.3× 7 0.2× 89 2.1× 8 452
Irene Håkansson Sweden 7 75 0.8× 24 0.3× 116 1.6× 17 0.4× 7 0.2× 9 326
Chantal A. Mutsaers United Kingdom 8 300 3.1× 28 0.3× 31 0.4× 14 0.3× 10 0.2× 9 460
Donatella Fantasia Italy 11 158 1.6× 108 1.3× 14 0.2× 7 0.2× 49 1.2× 19 311
IG Rennie United Kingdom 11 107 1.1× 20 0.2× 28 0.4× 13 0.3× 33 0.8× 23 388

Countries citing papers authored by R.L. Stallings

Since Specialization
Citations

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

Fields of papers citing papers by R.L. Stallings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.L. Stallings

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

All Works

9 of 9 papers shown
1.
Rea, Gillian, et al.. (2013). Subcortical white matter abnormalities because of previously undescribed de-novo 14q12–q13.1 triplication. Clinical Dysmorphology. 22(2). 71–72. 2 indexed citations
3.
Ryan, Jacqueline, Fiona Quinn, Ludmila Boublíková, et al.. (2008). Minimal residual disease detection in childhood acute lymphoblastic leukaemia patients at multiple time‐points reveals high levels of concordance between molecular and immunophenotypic approaches. British Journal of Haematology. 144(1). 107–115. 42 indexed citations
4.
Stallings, R.L., Julie Howard, M. Mullarkey, et al.. (2003). Are gains of chromosomal regions 7q and 11p important abnormalities in neuroblastoma?. Cancer Genetics and Cytogenetics. 140(2). 133–137. 28 indexed citations
5.
Gallagher, Louise, Kristin Becker, R.L. Stallings, et al.. (2003). Brief Report: A Case of Autism Associated with del(2)(q32.1q32.2) or (q32.2q32.3). Journal of Autism and Developmental Disorders. 33(1). 105–108. 14 indexed citations
6.
Enright, F. M., P. E. Campbell, R.L. Stallings, et al.. (2003). Xp22.3 Microdeletion in a 19‐Year‐Old Girl with Clinical Features of MLS Syndrome. Pediatric Dermatology. 20(2). 153–157. 8 indexed citations
7.
Cunningham, Joan, Mark Sales, Andrew Pearce, et al.. (2002). Does isochromosome 7q mandate bone marrow transplant in children with Shwachman–Diamond syndrome?. British Journal of Haematology. 119(4). 1062–1069. 31 indexed citations
8.
O’Meara, Anne, et al.. (2000). Coordinate Deletion of Chromosome 3p and 11q in Neuroblastoma Detected by Comparative Genomic Hybridization. Cancer Genetics and Cytogenetics. 120(1). 44–49. 56 indexed citations
9.
Mitchison, Hannah M., Andrew Thompson, John C. Mulley, et al.. (1993). Fine Genetic Mapping of the Batten Disease Locus (CLN3) by Haplotype Analysis and Demonstration of Allelic Association with Chromosome 16p Microsatellite Loci. Genomics. 16(2). 455–460. 43 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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