Richard H. Chapple

1.2k total citations
12 papers, 758 citations indexed

About

Richard H. Chapple is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Richard H. Chapple has authored 12 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Genetics. Recurrent topics in Richard H. Chapple's work include Single-cell and spatial transcriptomics (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Richard H. Chapple is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Richard H. Chapple collaborates with scholars based in United States, Japan and Sweden. Richard H. Chapple's co-authors include Daisuke Nakada, Ayumi Kitano, Yusuke Saito, Angelique Lin, Stephanie McKay, Robert D. Schnabel, Jeremy F. Taylor, Megan M Rolf, Matthew McClure and Natalia S. Morsci and has published in prestigious journals such as Nucleic Acids Research, Blood and Cell stem cell.

In The Last Decade

Richard H. Chapple

12 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard H. Chapple United States	9	405	249	159	137	116	12	758
Cheng Tan China	16	259 0.6×	420 1.7×	146 0.9×	34 0.2×	66 0.6×	30	803
Saumen Pal India	12	156 0.4×	686 2.8×	65 0.4×	204 1.5×	40 0.3×	19	915
Y Seto Japan	8	188 0.5×	149 0.6×	40 0.3×	130 0.9×	52 0.4×	11	728
Isabelle Fernandez France	11	93 0.2×	191 0.8×	70 0.4×	18 0.1×	26 0.2×	14	509
Winfried Hofmann Germany	12	74 0.2×	202 0.8×	41 0.3×	137 1.0×	47 0.4×	51	447
Anton K. Beck United States	7	123 0.3×	343 1.4×	73 0.5×	38 0.3×	51 0.4×	8	510
Philip Olsen United States	9	167 0.4×	971 3.9×	624 3.9×	28 0.2×	141 1.2×	10	1.3k
Paolo Norio United States	14	180 0.4×	834 3.3×	47 0.3×	50 0.4×	82 0.7×	19	1.1k
Bruce R. Bahnak France	15	143 0.4×	206 0.8×	10 0.1×	259 1.9×	59 0.5×	24	592

Countries citing papers authored by Richard H. Chapple

Since Specialization

Citations

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

Fields of papers citing papers by Richard H. Chapple

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Chapple. 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 Richard H. Chapple. The network helps show where Richard H. Chapple may publish in the future.

Co-authorship network of co-authors of Richard H. Chapple

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

All Works

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12 of 12 papers shown

Chapple, Richard H., et al.. (2025). CSI-GEP: A GPU-based unsupervised machine learning approach for recovering gene expression programs in atlas-scale single-cell RNA-seq data. Cell Genomics. 5(1). 100739–100739. 2 indexed citations

Zubair, Asif, Richard H. Chapple, Sivaraman Natarajan, et al.. (2022). Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model. Nucleic Acids Research. 50(14). e80–e80. 9 indexed citations

Barile, Melania, Richard H. Chapple, Daisuke Nakada, et al.. (2021). Reconciling Flux Experiments for Quantitative Modeling of Normal and Malignant Hematopoietic Stem/Progenitor Dynamics. Stem Cell Reports. 16(4). 741–753. 14 indexed citations

Hoegenauer, Kevin A., Ayumi Kitano, Matthew V. Holt, et al.. (2021). The histone H3.3 chaperone HIRA restrains erythroid-biased differentiation of adult hematopoietic stem cells. Stem Cell Reports. 16(8). 2014–2028. 8 indexed citations

Tseng, Yu-Jung, Richard H. Chapple, Tianyuan Hu, et al.. (2019). Hematopoietic Hierarchy Under Steady-State and Stress Conditions. Blood. 134(Supplement_1). 1181–1181. 1 indexed citations

Chapple, Richard H., Yu-Jung Tseng, Tianyuan Hu, et al.. (2018). Lineage tracing of murine adult hematopoietic stem cells reveals active contribution to steady-state hematopoiesis. Blood Advances. 2(11). 1220–1228. 62 indexed citations

Chapple, Richard H., Tianyuan Hu, Yu-Jung Tseng, et al.. (2018). ERα promotes murine hematopoietic regeneration through the Ire1α-mediated unfolded protein response. eLife. 7. 36 indexed citations

Saito, Yusuke, Richard H. Chapple, Angelique Lin, Ayumi Kitano, & Daisuke Nakada. (2015). AMPK Protects Leukemia-Initiating Cells in Myeloid Leukemias from Metabolic Stress in the Bone Marrow. Cell stem cell. 17(5). 585–596. 189 indexed citations

Chapple, Richard H., P. C. Tizioto, Kevin D. Wells, et al.. (2013). Characterization of the rat developmental liver transcriptome. Physiological Genomics. 45(8). 301–311. 18 indexed citations

10.

McClure, Matthew, Megan M Rolf, Stephanie McKay, et al.. (2012). Genome‐wide association analysis for quantitative trait loci influencing Warner–Bratzler shear force in five taurine cattle breeds. Animal Genetics. 43(6). 662–673. 62 indexed citations

11.

Saatchi, Mahdi, Stephanie McKay, Megan M Rolf, et al.. (2011). Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation. Genetics Selection Evolution. 43(1). 40–40. 165 indexed citations

12.

McClure, Matthew, Natalia S. Morsci, Robert D. Schnabel, et al.. (2010). A genome scan for quantitative trait loci influencing carcass, post‐natal growth and reproductive traits in commercial Angus cattle. Animal Genetics. 41(6). 597–607. 192 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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