Kenneth H. Shain

7.1k total citations · 1 hit paper
144 papers, 3.4k citations indexed

About

Kenneth H. Shain is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Kenneth H. Shain has authored 144 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Hematology, 85 papers in Molecular Biology and 64 papers in Oncology. Recurrent topics in Kenneth H. Shain's work include Multiple Myeloma Research and Treatments (101 papers), Protein Degradation and Inhibitors (48 papers) and Cancer Treatment and Pharmacology (25 papers). Kenneth H. Shain is often cited by papers focused on Multiple Myeloma Research and Treatments (101 papers), Protein Degradation and Inhibitors (48 papers) and Cancer Treatment and Pharmacology (25 papers). Kenneth H. Shain collaborates with scholars based in United States, Germany and United Kingdom. Kenneth H. Shain's co-authors include William S. Dalton, Richard Jove, Hua Yu, Melissa Alsina, Domenico Coppola, Shumin Zhang, Terry H. Landowski, Guilian Niu, Marcin Kortylewski and Drew M. Pardoll and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kenneth H. Shain

133 papers receiving 3.3k citations

Hit Papers

Regulation of the innate and adaptive immune responses by... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth H. Shain United States 26 1.7k 1.7k 1.2k 918 429 144 3.4k
Michele Moschetta United States 42 2.0k 1.2× 2.0k 1.2× 1.2k 1.0× 778 0.8× 408 1.0× 96 4.2k
Terry H. Landowski United States 22 1.9k 1.1× 1.7k 1.0× 772 0.6× 821 0.9× 533 1.2× 43 3.4k
M Jourdan France 25 1.6k 0.9× 1.4k 0.8× 1.7k 1.4× 940 1.0× 301 0.7× 51 3.5k
Suzanne Trudel Canada 40 3.4k 2.0× 2.3k 1.4× 3.0k 2.5× 560 0.6× 454 1.1× 248 5.2k
Güllü Görgün United States 31 1.7k 1.0× 1.4k 0.8× 1.5k 1.2× 1.4k 1.5× 672 1.6× 74 3.8k
Douglas W. McMillin United States 25 1.2k 0.7× 837 0.5× 642 0.5× 329 0.4× 180 0.4× 57 2.1k
Douglas K. Graham United States 37 1.4k 0.8× 997 0.6× 350 0.3× 3.2k 3.5× 486 1.1× 128 4.7k
Hiroya Asou Japan 29 2.3k 1.4× 1.2k 0.7× 869 0.7× 383 0.4× 535 1.2× 70 3.9k
Taisei Kinoshita Japan 29 1.4k 0.8× 886 0.5× 270 0.2× 698 0.8× 182 0.4× 48 3.2k
Keita Kirito Japan 29 1.2k 0.7× 433 0.3× 1.1k 0.9× 375 0.4× 206 0.5× 128 2.3k

Countries citing papers authored by Kenneth H. Shain

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Shain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth H. Shain

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

All Works

20 of 20 papers shown
1.
Tauro, Marilena, Bachisio Ziccheddu, Alexandra M. Poos, et al.. (2024). Replication Stress Induces Hyper-Apobec Mutagenesis in Multiple Myeloma. Blood. 144(Supplement 1). 3276–3276.
2.
Williams, Roy, Samuel M. Rubinstein, Timothy J. Garrett, et al.. (2024). Metabolomic signatures of carfilzomib‐related cardiotoxicity in patients with multiple myeloma. Clinical and Translational Science. 17(5). e13828–e13828. 1 indexed citations
3.
Bishop, Ryan T., Tao Li, Praneeth Sudalagunta, et al.. (2024). Acid ceramidase controls proteasome inhibitor resistance and is a novel therapeutic target for the treatment of relapsed / refractory multiple myeloma. Haematologica. 110(6). 1351–1367.
4.
Meads, Mark B., Xiaohong Zhao, David Noyes, et al.. (2024). De Novo Resistance and Relapse from Daratumumab Monotherapy in NDMM Is Associated with Immune Evasion and Immunosuppression. Blood. 144(Supplement 1). 1906–1906.
6.
Freeman, Ciara L., Meghan Menges, Jeffrey Edelman, et al.. (2023). Survivin Dendritic Cell Vaccine Safely Induces Immune Responses and Is Associated with Durable Disease Control after Autologous Transplant in Patients with Myeloma. Clinical Cancer Research. 29(22). 4575–4585. 8 indexed citations
8.
Tauro, Marilena, Bachisio Ziccheddu, Alexandra M. Poos, et al.. (2023). Genomic and Transcriptomic Landscape of Hyper-Apobec Multiple Myeloma. Blood. 142(Supplement 1). 639–639. 1 indexed citations
10.
Sahebjam, Solmaz, Nam Tran, Rachid Baz, et al.. (2022). Leukoencephalopathy During Daratumumab-Based Therapy: A Case Series of Two Patients with Multiple Myeloma. OncoTargets and Therapy. Volume 15. 953–962. 4 indexed citations
11.
Lo, Chen Hao, Gemma Shay, Jeremy McGuire, et al.. (2021). Host-Derived Matrix Metalloproteinase-13 Activity Promotes Multiple Myeloma–Induced Osteolysis and Reduces Overall Survival. Cancer Research. 81(9). 2415–2428. 13 indexed citations
12.
Meads, Mark B., Dario Magaletti, Joy Guingab‐Cagmat, et al.. (2021). Metabolic Changes Are Associated with Melphalan Resistance in Multiple Myeloma. Journal of Proteome Research. 20(6). 3134–3149. 10 indexed citations
13.
Shain, Kenneth H., Rafael Renatino Canevarolo, Mark B. Meads, et al.. (2020). Characterization of Synergistic Selinexor Combinations of Dexamethasone, Pomalidomide, Elotuzumab and Daratumumab in Primary MM Samples Ex Vivo. Blood. 136(Supplement 1). 29–30. 1 indexed citations
14.
Hari, Parameswaran, Claudia E. Paba‐Prada, Peter M. Voorhees, et al.. (2019). Efficacy and safety results from a phase 1b/2, multicenter, open-label study of oprozomib and dexamethasone in patients with relapsed and/or refractory multiple myeloma. Leukemia Research. 83. 106172–106172. 15 indexed citations
15.
Baz, Rachid, Jeffrey A. Zonder, Kenneth H. Shain, et al.. (2017). Phase I/II Study of Liposomal Doxorubicin (DOX) in Combination with Selinexor (SEL) and Dexamethasone (Dex) for Relapsed and Refractory Multiple Myeloma (RRMM). Blood. 130. 3095–3095. 7 indexed citations
16.
Ribeiro, Maria L.C., Timothy Jacobson, Lori Hazlehurst, et al.. (2013). A Preclinical Assay for Chemosensitivity in Multiple Myeloma. Cancer Research. 74(1). 56–67. 42 indexed citations
17.
Baz, Rachid, Hui‐Yi Lin, Sung‐Soo Yoon, et al.. (2013). Response Adapted Lenalidomide Based Therapy For Newly Diagnosed (ND) Standard Risk Older Adults With Multiple Myeloma (MM): An International Collaboration. Blood. 122(21). 3201–3201. 1 indexed citations
18.
Boucher, Kelly, Raymond Widen, Kenneth H. Shain, et al.. (2012). Stemness of B-cell Progenitors in Multiple Myeloma Bone Marrow. Clinical Cancer Research. 18(22). 6155–6168. 69 indexed citations
19.
Yarde, Danielle N., Vasco Oliveira, Linda Mathews, et al.. (2009). Targeting the Fanconi Anemia/BRCA Pathway Circumvents Drug Resistance in Multiple Myeloma. Cancer Research. 69(24). 9367–9375. 90 indexed citations
20.
Burdelya, Lyudmila G., Maciej Kujawski, Guilian Niu, et al.. (2005). Stat3 Activity in Melanoma Cells Affects Migration of Immune Effector Cells and Nitric Oxide-Mediated Antitumor Effects. The Journal of Immunology. 174(7). 3925–3931. 114 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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