Daniel P. Ball

1.3k total citations
22 papers, 903 citations indexed

About

Daniel P. Ball is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel P. Ball has authored 22 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Immunology. Recurrent topics in Daniel P. Ball's work include Inflammasome and immune disorders (12 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Daniel P. Ball is often cited by papers focused on Inflammasome and immune disorders (12 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). Daniel P. Ball collaborates with scholars based in United States, Canada and Belarus. Daniel P. Ball's co-authors include Daniel A. Bachovchin, Sahana D. Rao, Darren C. Johnson, Elizabeth L. Orth-He, Patrick T. Gunning, Andrew R. Griswold, Ashley J. Chui, Cornelius Y. Taabazuing, Marian C. Okondo and Brent D. G. Page and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Daniel P. Ball

22 papers receiving 898 citations

Peers

Daniel P. Ball

IMMUN

ONCOL

SURGE

NEPHR

Darren C. Johnson United States

Pamella J. Ford United States

Sahana D. Rao United States

Weijia Wang China

Luan A. Chau Canada

Qun Zhou China

Venkatesh V. Nemmara United States

Benjamin J. Stewart United Kingdom

Youjun Xiao China

Sheri L. Bonar United States

Darren C. Johnson United States

Daniel P. Ball

1.0k ×1.5

449 ×1.3

IMMUN

283 ×1.1

ONCOL

105 ×1.5

SURGE

138 ×2.0

NEPHR

Citations per year, relative to Daniel P. Ball Daniel P. Ball (= 1×) peers Darren C. Johnson

Countries citing papers authored by Daniel P. Ball

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Ball

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Ball. 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 Daniel P. Ball. The network helps show where Daniel P. Ball may publish in the future.

Co-authorship network of co-authors of Daniel P. Ball

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

All Works

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20 of 20 papers shown

Geeson, Michael B., et al.. (2024). The interaction between NLRP1 and oxidized TRX1 involves a transient disulfide bond. Cell chemical biology. 31(5). 955–961.e4. 8 indexed citations

Wang, Qinghui, Michael B. Geeson, Hsin‐Che Huang, et al.. (2024). The hydrophobicity of the CARD8 N-terminus tunes inflammasome activation. Cell chemical biology. 31(9). 1699–1713.e8. 1 indexed citations

Wang, Qinghui, Hsin‐Che Huang, Elizabeth L. Orth-He, et al.. (2023). The NLRP1 and CARD8 inflammasomes detect reductive stress. Cell Reports. 42(1). 111966–111966. 21 indexed citations

Orth-He, Elizabeth L., Hsin‐Che Huang, Sahana D. Rao, et al.. (2023). Protein folding stress potentiates NLRP1 and CARD8 inflammasome activation. Cell Reports. 42(1). 111965–111965. 22 indexed citations

Chen, Qifeng, Qinghui Wang, Elizabeth L. Orth-He, et al.. (2023). Optimized M24B Aminopeptidase Inhibitors for CARD8 Inflammasome Activation. Journal of Medicinal Chemistry. 66(4). 2589–2607. 1 indexed citations

Chui, Ashley J., Cornelius Y. Taabazuing, Andrew R. Griswold, et al.. (2022). A ubiquitin-independent proteasome pathway controls activation of the CARD8 inflammasome. Journal of Biological Chemistry. 298(7). 102032–102032. 16 indexed citations

Rao, Sahana D., Qifeng Chen, Qinghui Wang, et al.. (2022). M24B aminopeptidase inhibitors selectively activate the CARD8 inflammasome. Nature Chemical Biology. 18(5). 565–574. 26 indexed citations

Ball, Daniel P., Cornelius Y. Taabazuing, Andrew R. Griswold, et al.. (2020). Caspase-1 interdomain linker cleavage is required for pyroptosis. Life Science Alliance. 3(3). e202000664–e202000664. 97 indexed citations

Chui, Ashley J., Andrew R. Griswold, Cornelius Y. Taabazuing, et al.. (2020). Activation of the CARD8 Inflammasome Requires a Disordered Region. Cell Reports. 33(2). 108264–108264. 35 indexed citations

10.

Johnson, Darren C., Marian C. Okondo, Elizabeth L. Orth-He, et al.. (2020). DPP8/9 inhibitors activate the CARD8 inflammasome in resting lymphocytes. Cell Death and Disease. 11(8). 628–628. 76 indexed citations

11.

Chui, Ashley J., Marian C. Okondo, Sahana D. Rao, et al.. (2019). N-terminal degradation activates the NLRP1B inflammasome. Science. 364(6435). 82–85. 218 indexed citations

12.

Okondo, Marian C., Sahana D. Rao, Ashley J. Chui, et al.. (2019). DPP8/9 inhibitors are universal activators of functional NLRP1 alleles. Cell Death and Disease. 10(8). 587–587. 68 indexed citations

13.

Griswold, Andrew R., Daniel P. Ball, Ashley J. Chui, et al.. (2019). DPP9’s Enzymatic Activity and Not Its Binding to CARD8 Inhibits Inflammasome Activation. ACS Chemical Biology. 14(11). 2424–2429. 42 indexed citations

14.

Ali, Ahmed M., Rodolfo F. Gómez‐Biagi, Ping‐Shan Lai, et al.. (2016). Disarming an Electrophilic Warhead: Retaining Potency in Tyrosine Kinase Inhibitor (TKI)‐Resistant CML Lines While Circumventing Pharmacokinetic Liabilities. ChemMedChem. 11(8). 850–861. 18 indexed citations

15.

Ball, Daniel P., Andrew M. Lewis, Declan Williams, et al.. (2016). Signal transducer and activator of transcription 3 (STAT3) inhibitor, S3I-201, acts as a potent and non-selective alkylating agent. Oncotarget. 7(15). 20669–20679. 43 indexed citations

16.

Lai, Ping‐Shan, et al.. (2015). A STAT inhibitor patent review: progress since 2011. Expert Opinion on Therapeutic Patents. 25(12). 1397–1421. 47 indexed citations

17.

Haftchenary, Sina, Isabelle Aubry, Andrew M. Lewis, et al.. (2015). Identification of Bidentate Salicylic Acid Inhibitors of PTP1B. ACS Medicinal Chemistry Letters. 6(9). 982–986. 17 indexed citations

18.

Martić, Sanela, Sina Haftchenary, Vijay Shahani, et al.. (2013). Electrochemical detection of the Fc-STAT3 phosphorylation and STAT3–Fc-STAT3 dimerization and inhibition. Molecular BioSystems. 10(3). 576–580. 3 indexed citations

19.

Shahani, Vijay, Daniel P. Ball, Zhihua Li, et al.. (2013). A 2,6,9-hetero-trisubstituted purine inhibitor exhibits potent biological effects against multiple myeloma cells. Bioorganic & Medicinal Chemistry. 21(17). 5618–5628. 6 indexed citations

20.

Page, Brent D. G., Daniel P. Ball, & Patrick T. Gunning. (2010). Signal transducer and activator of transcription 3 inhibitors: a patent review. Expert Opinion on Therapeutic Patents. 21(1). 65–83. 93 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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