David M. Raiser

856 total citations
11 papers, 523 citations indexed

About

David M. Raiser is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, David M. Raiser has authored 11 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in David M. Raiser's work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). David M. Raiser is often cited by papers focused on RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). David M. Raiser collaborates with scholars based in United States, Sweden and United Kingdom. David M. Raiser's co-authors include Carla F. Kim, Benjamin L. Ebert, Anupama Narla, Vivek Balasubramaniam, Muhammad Aslam, Laura E. Fredenburgh, Allison N. Lau, Stella Kourembanas, S. Alex Mitsialis and Joo‐Hyeon Lee and has published in prestigious journals such as Blood, British Journal of Haematology and Leukemia.

In The Last Decade

David M. Raiser

10 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Raiser United States 8 253 209 146 145 67 11 523
Christine R. Bryke United States 13 268 1.1× 63 0.3× 102 0.7× 49 0.3× 35 0.5× 31 529
Gary J. Roloson United States 12 213 0.8× 188 0.9× 60 0.4× 62 0.4× 53 0.8× 21 492
Yosuke Komoto Japan 10 443 1.8× 84 0.4× 201 1.4× 87 0.6× 62 0.9× 16 726
Junyang Zhao China 7 128 0.5× 77 0.4× 149 1.0× 45 0.3× 49 0.7× 15 465
Keiji Shinozuka Japan 11 294 1.2× 83 0.4× 136 0.9× 45 0.3× 27 0.4× 31 511
Takeru Kashiwada Japan 13 166 0.7× 200 1.0× 126 0.9× 41 0.3× 32 0.5× 36 429
Boo Messahel United Kingdom 14 409 1.6× 223 1.1× 100 0.7× 36 0.2× 20 0.3× 24 582
Y. Jin Sweden 11 271 1.1× 48 0.2× 160 1.1× 79 0.5× 38 0.6× 16 505
Hidehiko Takigawa Japan 12 115 0.5× 109 0.5× 151 1.0× 138 1.0× 30 0.4× 55 437
François Plassa France 10 127 0.5× 253 1.2× 147 1.0× 30 0.2× 30 0.4× 18 618

Countries citing papers authored by David M. Raiser

Since Specialization
Citations

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

Fields of papers citing papers by David M. Raiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Raiser

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

All Works

11 of 11 papers shown
1.
Goldberg, Laura, Qiuyan Wang, Samik Das, et al.. (2023). Novel Bone Marrow/HSC-Targeted, Megakaryocyte-Derived Extracellular Vesicle Delivery Modality for In Vivo Gene Therapy. Blood. 142(Supplement 1). 2253–2253.
2.
Ajore, Ram, David M. Raiser, Marie McConkey, et al.. (2017). Deletion of ribosomal protein genes is a common vulnerability in human cancer, especially in concert with TP 53 mutations. EMBO Molecular Medicine. 9(4). 498–507. 75 indexed citations
3.
Ajore, Ram, David M. Raiser, Marie McConkey, et al.. (2017). Deletion of ribosomal protein genes is a common vulnerability in human cancer, especially in concert with. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
4.
Macari, Elizabeth R., Alison M. Taylor, David M. Raiser, et al.. (2016). Calmodulin Inhibition Rescues DBA Models with Ribosomal Protein Deficiency through Reduction of RSK Signaling. Blood. 128(22). 332–332. 9 indexed citations
5.
Narla, Anupama, Elspeth Payne, Nirmalee Abayasekara, et al.. (2014). L‐Leucine improves the anaemia in models of Diamond Blackfan anaemia and the 5q‐ syndrome in a TP53‐independent way. British Journal of Haematology. 167(4). 524–528. 25 indexed citations
6.
Raiser, David M., Anupama Narla, & Benjamin L. Ebert. (2013). The emerging importance of ribosomal dysfunction in the pathogenesis of hematologic disorders. Leukemia & lymphoma. 55(3). 491–500. 40 indexed citations
7.
Blackburn, Jessica S., David M. Raiser, Sarah Martinez, et al.. (2012). Notch signaling expands a pre-malignant pool of T-cell acute lymphoblastic leukemia clones without affecting leukemia-propagating cell frequency. Leukemia. 26(9). 2069–2078. 50 indexed citations
9.
Aslam, Muhammad, Allison N. Lau, David M. Raiser, et al.. (2012). Bronchioalveolar stem cells increase after mesenchymal stromal cell treatment in a mouse model of bronchopulmonary dysplasia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(9). L829–L837. 167 indexed citations
10.
Liang, Mei‐Chih, David M. Raiser, Raffaella Zamponi, et al.. (2011). Characterization of the cell of origin for small cell lung cancer. Cell Cycle. 10(16). 2806–2815. 143 indexed citations
11.
Raiser, David M., et al.. (2008). Stem Cell Biology in the Lung and Lung Cancers: Using Pulmonary Context and Classic Approaches. Cold Spring Harbor Symposia on Quantitative Biology. 73(0). 479–490. 10 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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