Samuel K. Handelman

3.0k total citations
44 papers, 1.2k citations indexed

About

Samuel K. Handelman is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Samuel K. Handelman has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Samuel K. Handelman's work include RNA and protein synthesis mechanisms (5 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (5 papers). Samuel K. Handelman is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (5 papers). Samuel K. Handelman collaborates with scholars based in United States, Canada and Poland. Samuel K. Handelman's co-authors include J.F. Hunt, Xiaomeng Du, Elizabeth K. Speliotes, F. Forouhar, Wolfgang Sadée, Maciej Pietrzak, Yanhua Chen, Vincent Chen, Rita Tamayo and Andrew Camilli and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

In The Last Decade

Samuel K. Handelman

41 papers receiving 1.2k citations

Peers

Samuel K. Handelman
James D. Chang United States
Zhen Yang China
Shigeki Kamitani Japan
Weili Zheng China
He Wang China
Michael W. Reed United States
Steffen Ohlmeier Finland
John D. Lapek United States
Guido Sauer Germany
James D. Chang United States
Samuel K. Handelman
Citations per year, relative to Samuel K. Handelman Samuel K. Handelman (= 1×) peers James D. Chang

Countries citing papers authored by Samuel K. Handelman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel K. Handelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel K. Handelman. 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 Samuel K. Handelman. The network helps show where Samuel K. Handelman may publish in the future.

Co-authorship network of co-authors of Samuel K. Handelman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel K. Handelman. A scholar is included among the top collaborators of Samuel K. Handelman 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 Samuel K. Handelman. Samuel K. Handelman 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.
Singh, Shikha, F. Forouhar, Kam‐Ho Wong, et al.. (2024). Systematic enhancement of protein crystallization efficiency by bulk lysine‐to‐arginine ( KR ) substitution. Protein Science. 33(3). e4898–e4898. 4 indexed citations
2.
Kuppa, Annapurna, Yue Chen, Asmita Pant, et al.. (2023). Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity. Journal of Molecular Endocrinology. 70(3). 2 indexed citations
3.
4.
Chen, Vincent, Xiaomeng Du, Yanhua Chen, et al.. (2021). Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology. Nature Communications. 12(1). 816–816. 75 indexed citations
5.
Handelman, Samuel K., et al.. (2020). Mitigating temozolomide resistance in glioblastoma via DNA damage-repair inhibition. Journal of The Royal Society Interface. 17(162). 20190722–20190722. 16 indexed citations
6.
Patrick, Matthew T., Philip E. Stuart, Haihan Zhang, et al.. (2020). Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis. Journal of Investigative Dermatology. 141(6). 1493–1502. 35 indexed citations
7.
Ludwig‐Słomczyńska, Agnieszka H., Michał Seweryn, Przemysław Kapusta, et al.. (2020). Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients. BMC Medical Genomics. 13(1). 97–97. 13 indexed citations
8.
Yau, Michelle S., Allison L. Kuipers, Ryan Price, et al.. (2020). A Meta-Analysis of the Transferability of Bone Mineral Density Genetic Loci Associations From European to African Ancestry Populations. Journal of Bone and Mineral Research. 36(3). 469–479. 13 indexed citations
9.
Handelman, Samuel K., et al.. (2019). The focal adhesion scaffold protein Hic-5 regulates vimentin organization in fibroblasts. Molecular Biology of the Cell. 30(25). 3037–3056. 13 indexed citations
10.
Maguire, Lillias H., Samuel K. Handelman, Xiaomeng Du, et al.. (2018). Genome-wide association analyses identify 39 new susceptibility loci for diverticular disease. Nature Genetics. 50(10). 1359–1365. 77 indexed citations
11.
Wang, Youjin, Jean Wactawski‐Wende, Lara E. Sucheston‐Campbell, et al.. (2017). The influence of genetic susceptibility and calcium plus vitamin D supplementation on fracture risk. American Journal of Clinical Nutrition. 105(4). 970–979. 13 indexed citations
12.
Wang, Youjin, Jean Wactawski‐Wende, Lara E. Sucheston‐Campbell, et al.. (2017). Gene-Hormone Therapy Interaction and Fracture Risk in Postmenopausal Women. The Journal of Clinical Endocrinology & Metabolism. 102(6). 1908–1916. 4 indexed citations
13.
Schwartzbaum, Judith, Michał Seweryn, Christopher Holloman, et al.. (2015). Association between Prediagnostic Allergy-Related Serum Cytokines and Glioma. PLoS ONE. 10(9). e0137503–e0137503. 15 indexed citations
14.
Higgins, Gerald A., et al.. (2015). The Epigenome, 4D Nucleome and Next-Generation Neuropsychiatric Pharmacogenomics. Pharmacogenomics. 16(14). 1649–1669. 11 indexed citations
15.
Arragain, Simon, Samuel K. Handelman, F. Forouhar, et al.. (2010). Identification of Eukaryotic and Prokaryotic Methylthiotransferase for Biosynthesis of 2-Methylthio-N6-threonylcarbamoyladenosine in tRNA. Journal of Biological Chemistry. 285(37). 28425–28433. 106 indexed citations
16.
Arbing, Mark A., Samuel K. Handelman, A.P. Kuzin, et al.. (2010). Crystal Structures of Phd-Doc, HigA, and YeeU Establish Multiple Evolutionary Links between Microbial Growth-Regulating Toxin-Antitoxin Systems. Structure. 18(8). 996–1010. 57 indexed citations
17.
Punta, Marco, J. Love, Samuel K. Handelman, et al.. (2009). Structural genomics target selection for the New York consortium on membrane protein structure. Journal of Structural and Functional Genomics. 10(4). 255–268. 35 indexed citations
18.
Handelman, Garry J., et al.. (2009). Bacterial DNA in Water and Dialysate: Detection and Significance for Patient Outcomes. Blood Purification. 27(1). 81–85. 10 indexed citations
19.
Benach, Jordi, Swarup S. Swaminathan, Rita Tamayo, et al.. (2007). The structural basis of cyclic diguanylate signal transduction by PilZ domains. The EMBO Journal. 26(24). 5153–5166. 177 indexed citations
20.
Lancha, Antônio Herbert, Samuel K. Handelman, Gregory G. Dolnikowski, et al.. (2000). Relative reactivity of lysine and other peptide-bound amino acids to oxidation by hypochlorite. Free Radical Biology and Medicine. 29(5). 425–433. 56 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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