Charles S. Hemenway

1.9k total citations
31 papers, 1.5k citations indexed

About

Charles S. Hemenway is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Charles S. Hemenway has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Hematology and 7 papers in Oncology. Recurrent topics in Charles S. Hemenway's work include Signaling Pathways in Disease (9 papers), Acute Myeloid Leukemia Research (7 papers) and Epigenetics and DNA Methylation (5 papers). Charles S. Hemenway is often cited by papers focused on Signaling Pathways in Disease (9 papers), Acute Myeloid Leukemia Research (7 papers) and Epigenetics and DNA Methylation (5 papers). Charles S. Hemenway collaborates with scholars based in United States. Charles S. Hemenway's co-authors include Joseph Heitman, María E. Cárdenas, Mary Rose Reisenauer, Wenzheng Zhang, R. Sathish Srinivasan, Xuefeng Xia, Bruce C. Kone, Nicholas J. Achille, Nancy J. Zeleznik‐Le and Leena Pradhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Charles S. Hemenway

31 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles S. Hemenway United States 16 1.3k 249 237 153 123 31 1.5k
M Pettersson Sweden 21 1.3k 1.0× 424 1.7× 319 1.3× 229 1.5× 187 1.5× 25 1.8k
Alexander L. Kovalchuk United States 21 616 0.5× 291 1.2× 174 0.7× 398 2.6× 105 0.9× 53 1.2k
Benjamin J. Thompson United States 11 901 0.7× 262 1.1× 301 1.3× 222 1.5× 97 0.8× 22 1.3k
Zhi Hong Lu United States 19 794 0.6× 339 1.4× 68 0.3× 227 1.5× 70 0.6× 44 1.3k
Françoise Birg France 19 684 0.5× 260 1.0× 360 1.5× 202 1.3× 177 1.4× 34 1.2k
S. W. Knight United Kingdom 13 1.3k 1.0× 96 0.4× 131 0.6× 194 1.3× 150 1.2× 20 1.9k
Alan J. Kinniburgh United States 23 1.3k 1.0× 156 0.6× 177 0.7× 105 0.7× 206 1.7× 45 1.7k
Theodora Agalioti Greece 16 1.4k 1.1× 367 1.5× 89 0.4× 674 4.4× 93 0.8× 21 2.1k
Stephen Staal United States 10 709 0.6× 344 1.4× 43 0.2× 147 1.0× 117 1.0× 15 1.2k
Zhila Khalkhali‐Ellis United States 22 671 0.5× 372 1.5× 61 0.3× 156 1.0× 57 0.5× 41 1.4k

Countries citing papers authored by Charles S. Hemenway

Since Specialization
Citations

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

Fields of papers citing papers by Charles S. Hemenway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles S. Hemenway. 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 Charles S. Hemenway. The network helps show where Charles S. Hemenway may publish in the future.

Co-authorship network of co-authors of Charles S. Hemenway

This figure shows the co-authorship network connecting the top 25 collaborators of Charles S. Hemenway. A scholar is included among the top collaborators of Charles S. Hemenway 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 Charles S. Hemenway. Charles S. Hemenway 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.
Hemenway, Charles S.. (2023). Re‐examining a strong recommendation based on low‐quality evidence in acute chest syndrome. Pediatric Blood & Cancer. 70(5). e30266–e30266. 2 indexed citations
2.
Hemenway, Charles S., et al.. (2019). Emergence of a Ph-negative Clone in a Child With Ph+ ALL. Journal of Pediatric Hematology/Oncology. 42(6). e466–e468. 1 indexed citations
3.
Kuntimaddi, Aravinda, Nicholas J. Achille, Jeremy Thorpe, et al.. (2015). Degree of Recruitment of DOT1L to MLL-AF9 Defines Level of H3K79 Di- and Tri-methylation on Target Genes and Transformation Potential. Cell Reports. 11(5). 808–820. 87 indexed citations
4.
Achille, Nicholas J., Jeffrey Lin, Aravinda Kuntimaddi, et al.. (2014). Importance of a specific amino acid pairing for murine MLL leukemias driven by MLLT1/3 or AFF1/4. Leukemia Research. 38(11). 1309–1315. 5 indexed citations
5.
Malik, Bhavna & Charles S. Hemenway. (2013). CBX8, a component of the Polycomb PRC1 complex, modulates DOT1L‐mediated gene expression through AF9/MLLT3. FEBS Letters. 587(18). 3038–3044. 11 indexed citations
6.
Wu, Hongyu, Nicholas J. Achille, Mary Rose Reisenauer, et al.. (2010). Histone H3 Lysine 79 Methyltransferase Dot1 Is Required for Immortalization by MLL Oncogenes. Cancer Research. 70(24). 10234–10242. 133 indexed citations
7.
Lin, Jeffrey & Charles S. Hemenway. (2010). Hsp90 Directly Modulates the Spatial Distribution of AF9/MLLT3 and Affects Target Gene Expression. Journal of Biological Chemistry. 285(16). 11966–11973. 11 indexed citations
8.
9.
Palermo, Christine, et al.. (2007). The AF4-mimetic peptide, PFWT, induces necrotic cell death in MV4-11 leukemia cells. Leukemia Research. 32(4). 633–642. 20 indexed citations
10.
Zhang, Wenzheng, Xuefeng Xia, Mary Rose Reisenauer, Charles S. Hemenway, & Bruce C. Kone. (2006). Dot1a-AF9 Complex Mediates Histone H3 Lys-79 Hypermethylation and Repression of ENaCα in an Aldosterone-sensitive Manner. Journal of Biological Chemistry. 281(26). 18059–18068. 135 indexed citations
11.
Srinivasan, R. Sathish, Jacqueline B. Nesbit, Luis Marrero, et al.. (2004). The synthetic peptide PFWT disrupts AF4–AF9 protein complexes and induces apoptosis in t(4;11) leukemia cells. Leukemia. 18(8). 1364–1372. 43 indexed citations
12.
Srinivasan, R. Sathish, et al.. (2003). The mixed lineage leukemia fusion partner AF9 binds specific isoforms of the BCL-6 corepressor. Oncogene. 22(22). 3395–3406. 62 indexed citations
13.
Erfurth, Frank, et al.. (2003). MLL fusion partners AF4 and AF9 interact at subnuclear foci. Leukemia. 18(1). 92–102. 71 indexed citations
14.
Hemenway, Charles S., et al.. (1999). A Method to Generate Full-Length cDNA Molecules from Yeast Two-Hybrid Clones and RACE Products. Analytical Biochemistry. 268(1). 161–162. 2 indexed citations
15.
Hemenway, Charles S. & Joseph Heitman. (1999). Lic4, a nuclear phosphoprotein that cooperates with calcineurin to regulate cation homeostasis in Saccharomyces cerevisiae. Molecular and General Genetics MGG. 261(2). 388–401. 14 indexed citations
16.
Hemenway, Charles S., et al.. (1998). The Bmi-1 oncoprotein interacts with dinG and MPh2: the role of RING finger domains. Oncogene. 16(19). 2541–2547. 55 indexed citations
17.
Hemenway, Charles S. & Joseph Heitman. (1996). Immunosuppressant Target Protein FKBP12 Is Required for P-Glycoprotein Function in Yeast. Journal of Biological Chemistry. 271(31). 18527–18534. 51 indexed citations
18.
Hemenway, Charles S.. (1995). FK506 in bone marrow transplantation [letter]. Blood. 86(9). 3611–3612. 1 indexed citations
19.
Hemenway, Charles S., Kara Dolinski, María E. Cárdenas, et al.. (1995). vph6 mutants of Saccharomyces cerevisiae require calcineurin for growth and are defective in vacuolar H(+)-ATPase assembly.. Genetics. 141(3). 833–844. 60 indexed citations
20.
Hemenway, Charles S. & Joseph Heitman. (1993). Proline Isomerases in Microorganisms and Small Eukaryotesa. Annals of the New York Academy of Sciences. 696(1). 38–43. 11 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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