Paul Hessler

2.5k total citations
22 papers, 1.0k citations indexed

About

Paul Hessler is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Paul Hessler has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Hematology. Recurrent topics in Paul Hessler's work include Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (6 papers) and Cell death mechanisms and regulation (4 papers). Paul Hessler is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (6 papers) and Cell death mechanisms and regulation (4 papers). Paul Hessler collaborates with scholars based in United States, United Kingdom and Portugal. Paul Hessler's co-authors include Kieron Burke, Joel Johansson, Samuel Kaplan, Paul L. Hallenbeck, Stephen K. Tahir, Lloyd T. Lam, Paul E. Kroeger, Morey L. Smith, Kenneth B. Idler and Chang H. Park and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Cancer Research.

In The Last Decade

Paul Hessler

22 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Hessler United States 16 642 191 136 101 93 22 1.0k
Colin Davis United Kingdom 15 1.1k 1.8× 106 0.6× 14 0.1× 53 0.5× 68 0.7× 17 1.4k
Alexander S. Antonov Russia 21 493 0.8× 83 0.4× 82 0.6× 24 0.2× 270 2.9× 73 1.5k
M A Recny United States 16 484 0.8× 96 0.5× 121 0.9× 9 0.1× 470 5.1× 21 1.1k
Daniel Ackerman United States 13 891 1.4× 122 0.6× 21 0.2× 7 0.1× 92 1.0× 19 1.6k
Zbigniew Morawiec Poland 20 742 1.2× 319 1.7× 55 0.4× 8 0.1× 51 0.5× 47 1.3k
Gongqin Sun United States 24 1.1k 1.7× 273 1.4× 86 0.6× 5 0.0× 142 1.5× 77 1.4k
Werner G. Purschke Germany 15 598 0.9× 82 0.4× 101 0.7× 6 0.1× 146 1.6× 26 937
Lucy Jankova Australia 14 509 0.8× 194 1.0× 47 0.3× 48 0.5× 38 0.4× 22 814
Kenichi Mori Japan 16 500 0.8× 114 0.6× 202 1.5× 15 0.1× 66 0.7× 51 982
Véronique Mainfroid Belgium 15 767 1.2× 117 0.6× 25 0.2× 7 0.1× 54 0.6× 19 1.2k

Countries citing papers authored by Paul Hessler

Since Specialization
Citations

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

Fields of papers citing papers by Paul Hessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Hessler. 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 Paul Hessler. The network helps show where Paul Hessler may publish in the future.

Co-authorship network of co-authors of Paul Hessler

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Hessler. A scholar is included among the top collaborators of Paul Hessler 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 Paul Hessler. Paul Hessler 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.
Wang, Rui, Yupeng He, Ziping Yang, et al.. (2018). Targeting Lineage-specific MITF Pathway in Human Melanoma Cell Lines by A-485, the Selective Small-molecule Inhibitor of p300/CBP. Molecular Cancer Therapeutics. 17(12). 2543–2550. 46 indexed citations
4.
Tahir, Stephen K., Morey L. Smith, Paul Hessler, et al.. (2017). Potential mechanisms of resistance to venetoclax and strategies to circumvent it. BMC Cancer. 17(1). 399–399. 142 indexed citations
5.
Faivre, Emily J., Denise Wilcox, Xia Li, et al.. (2016). Exploitation of Castration-Resistant Prostate Cancer Transcription Factor Dependencies by the Novel BET Inhibitor ABBV-075. Molecular Cancer Research. 15(1). 35–44. 53 indexed citations
6.
Lin, Xiaoyu, Xiaoli Huang, Tamar Uziel, et al.. (2016). HEXIM1 as a Robust Pharmacodynamic Marker for Monitoring Target Engagement of BET Family Bromodomain Inhibitors in Tumors and Surrogate Tissues. Molecular Cancer Therapeutics. 16(2). 388–396. 45 indexed citations
7.
Bui, Mai H., Xiaoyu Lin, Xiaoli Huang, et al.. (2016). Abstract 4738: The BET family bromodomain inhibitor ABBV-075 is a promising therapeutic agent for acute myeloid leukemia and myelodysplastic syndrome. Cancer Research. 76(14_Supplement). 4738–4738. 3 indexed citations
8.
Xiao, Yu, Paul Nimmer, George S. Sheppard, et al.. (2015). MCL-1 Is a Key Determinant of Breast Cancer Cell Survival: Validation of MCL-1 Dependency Utilizing a Highly Selective Small Molecule Inhibitor. Molecular Cancer Therapeutics. 14(8). 1837–1847. 89 indexed citations
9.
Zhang, Haichao, John Xue, Paul Hessler, et al.. (2015). Genomic analysis and selective small molecule inhibition identifies BCL-XL as a critical survival factor in a subset of colorectal cancer. Molecular Cancer. 14(1). 126–126. 43 indexed citations
10.
Tahir, Stephen K., Morey L. Smith, Paul Hessler, et al.. (2015). Abstract B30: Mechanisms of resistance to ABT-199 in leukemia and lymphoma cell lines. Clinical Cancer Research. 21(4_Supplement). B30–B30. 2 indexed citations
11.
Lam, Lloyd T., Haichao Zhang, John Xue, et al.. (2014). Abstract 2759: Colorectal cancer cell lines with high BCL-XL and low MCL-1 expression are sensitive to a potent and selective BCL-XL inhibitor. Cancer Research. 74(19_Supplement). 2759–2759. 3 indexed citations
12.
Tahir, Stephen K., John Wass, Mary K. Joseph, et al.. (2010). Identification of Expression Signatures Predictive of Sensitivity to the Bcl-2 Family Member Inhibitor ABT-263 in Small Cell Lung Carcinoma and Leukemia/Lymphoma Cell Lines. Molecular Cancer Therapeutics. 9(3). 545–557. 59 indexed citations
13.
Liu, Xuesong, Yan Shi, Keith W. Woods, et al.. (2008). Akt Inhibitor A-443654 Interferes with Mitotic Progression by Regulating Aurora A Kinase Expression. Neoplasia. 10(8). 828–837. 46 indexed citations
14.
Kaszubska, Wiweka, Hugh D. Falls, Verlyn G. Schaefer, et al.. (2002). Protein tyrosine phosphatase 1B negatively regulates leptin signaling in a hypothalamic cell line. Molecular and Cellular Endocrinology. 195(1-2). 109–118. 150 indexed citations
15.
Hessler, Paul, Neepa T. Maitra, & Kieron Burke. (2002). Correlation in time-dependent density-functional theory. The Journal of Chemical Physics. 117(1). 72–81. 36 indexed citations
16.
Reich, Karl, Linda E. Chovan, & Paul Hessler. (1999). Genome Scanning in Haemophilus influenzae for Identification of Essential Genes. Journal of Bacteriology. 181(16). 4961–4968. 28 indexed citations
17.
Hessler, Paul, et al.. (1999). Several Theorems in Time-Dependent Density Functional Theory. Physical Review Letters. 82(2). 378–381. 69 indexed citations
18.
Hessler, Paul, et al.. (1997). Isolation of isoflavones from soy-based fermentations of the erythromycin-producing bacterium Saccharopolyspora erythraea. Applied Microbiology and Biotechnology. 47(4). 398–404. 36 indexed citations
19.
Hallenbeck, Paul L., et al.. (1990). Phosphoribulokinase activity and regulation of CO2 fixation critical for photosynthetic growth of Rhodobacter sphaeroides. Journal of Bacteriology. 172(4). 1749–1761. 53 indexed citations
20.
Hallenbeck, Paul L., et al.. (1990). Roles of CfxA, CfxB, and external electron acceptors in regulation of ribulose 1,5-bisphosphate carboxylase/oxygenase expression in Rhodobacter sphaeroides. Journal of Bacteriology. 172(4). 1736–1748. 66 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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