Daniel E. Zak

6.0k total citations · 1 hit paper
47 papers, 2.6k citations indexed

About

Daniel E. Zak is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Daniel E. Zak has authored 47 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Immunology and 14 papers in Infectious Diseases. Recurrent topics in Daniel E. Zak's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers) and vaccines and immunoinformatics approaches (8 papers). Daniel E. Zak is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers) and vaccines and immunoinformatics approaches (8 papers). Daniel E. Zak collaborates with scholars based in United States, South Africa and United Kingdom. Daniel E. Zak's co-authors include Alan Aderem, Edward A. Miao, Russell E. Vance, James S. Schwaber, Gregory E. Gonye, Kathleen A. Kennedy, Ilya Shmulevich, Youssef Aachoui, Mary F. Fontana and Stephen A. Ramsey and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Daniel E. Zak

45 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Caspase-11 Protects Against Bacteria That Escape the Vacuole

2013 435 citations Daniel E. Zak, Alan Aderem et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel E. Zak United States	24	1.5k	1.1k	506	500	181	47	2.6k
Jiusheng Deng United States	18	1.2k 0.8×	1.9k 1.8×	393 0.8×	573 1.1×	245 1.4×	38	3.6k
Babal K. Jha United States	29	1.7k 1.2×	904 0.8×	658 1.3×	478 1.0×	112 0.6×	88	3.1k
Ricardo Z. N. Vêncio Brazil	24	1.2k 0.8×	528 0.5×	334 0.7×	412 0.8×	122 0.7×	72	2.5k
Saurabh Chattopadhyay United States	28	1.3k 0.9×	1.4k 1.2×	469 0.9×	417 0.8×	81 0.4×	88	2.8k
Tsung-Hsien Chang Taiwan	24	1.1k 0.7×	1.2k 1.1×	505 1.0×	410 0.8×	72 0.4×	87	2.6k
Michael H. Shaw United States	21	1.3k 0.9×	1.8k 1.7×	346 0.7×	632 1.3×	252 1.4×	29	3.3k
Lars Kaderali Germany	35	1.5k 1.0×	460 0.4×	480 0.9×	765 1.5×	141 0.8×	132	3.5k
Decheng Yang Canada	32	1.7k 1.1×	741 0.7×	528 1.0×	619 1.2×	148 0.8×	83	3.3k
Hans-Heinrich Hoffmann United States	22	1.2k 0.8×	1.1k 1.0×	1.0k 2.1×	651 1.3×	61 0.3×	36	3.0k
Paul Dickinson United Kingdom	24	1.3k 0.9×	616 0.6×	213 0.4×	449 0.9×	130 0.7×	59	2.5k

Countries citing papers authored by Daniel E. Zak

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Zak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Zak

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Zak. A scholar is included among the top collaborators of Daniel E. Zak 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 E. Zak. Daniel E. Zak 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

Goers, Lisa, et al.. (2026). Shigella OspF blocks rapid p38-dependent priming of the NAIP–NLRC4 inflammasome. Proceedings of the National Academy of Sciences. 123(3). e2510950123–e2510950123.

Meier, Stuart, James A. Seddon, Elizna Maasdorp, et al.. (2022). Neutrophil degranulation, NETosis and platelet degranulation pathway genes are co-induced in whole blood up to six months before tuberculosis diagnosis. PLoS ONE. 17(12). e0278295–e0278295. 8 indexed citations

Odia, Trust, Stephanus T. Malherbe, Stuart Meier, et al.. (2021). The Peripheral Blood Transcriptome Is Correlated With PET Measures of Lung Inflammation During Successful Tuberculosis Treatment. Frontiers in Immunology. 11. 596173–596173. 8 indexed citations

Du, Ying, Ethan Thompson, Julius Müller, et al.. (2020). The Ratiometric Transcript Signature MX2/GPR183 Is Consistently Associated With RTS,S-Mediated Protection Against Controlled Human Malaria Infection. Frontiers in Immunology. 11. 669–669. 7 indexed citations

Plumlee, Courtney R., Fergal J. Duffy, Benjamin H. Gern, et al.. (2020). Apparent sterilizing immunity in BCG-immunized mice challenged with an ultra-low dose of Mycobacterium tuberculosis. The Journal of Immunology. 204(1_Supplement). 231.25–231.25. 1 indexed citations

Penn‐Nicholson, Adam, Thomas Hraha, Ethan Thompson, et al.. (2019). Discovery and validation of a prognostic proteomic signature for tuberculosis progression: A prospective cohort study. PLoS Medicine. 16(4). e1002781–e1002781. 68 indexed citations

Duffy, Fergal J., Ethan Thompson, Thomas J. Scriba, & Daniel E. Zak. (2019). Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state. PLoS ONE. 14(7). e0219322–e0219322. 16 indexed citations

Duffy, Fergal J., January Weiner, Scott G. Hansen, et al.. (2019). Immunometabolic Signatures Predict Risk of Progression to Active Tuberculosis and Disease Outcome. Frontiers in Immunology. 10. 527–527. 37 indexed citations

Duffy, Fergal J., Ethan Thompson, Katrina Downing, et al.. (2018). A Serum Circulating miRNA Signature for Short-Term Risk of Progression to Active Tuberculosis Among Household Contacts. Frontiers in Immunology. 9. 661–661. 36 indexed citations

10.

Fioré-Gartland, Andrew, Lindsay N. Carpp, Kogieleum Naidoo, et al.. (2017). Considerations for biomarker-targeted intervention strategies for tuberculosis disease prevention. Tuberculosis. 109. 61–68. 19 indexed citations

11.

Parihar, Suraj P., Mumin Ozturk, Mohlopheni J. Marakalala, et al.. (2017). Protein kinase C-delta (PKCδ), a marker of inflammation and tuberculosis disease progression in humans, is important for optimal macrophage killing effector functions and survival in mice. Mucosal Immunology. 11(2). 496–511. 35 indexed citations

12.

Zak, Daniel E. & Alan Aderem. (2015). Systems integration of innate and adaptive immunity. Vaccine. 33(40). 5241–5248. 18 indexed citations

13.

Zak, Daniel E. & Alan Aderem. (2011). Overcoming limitations in the systems vaccinology approach. Current Opinion in HIV and AIDS. 7(1). 58–63. 8 indexed citations

14.

Litvak, Vladimir, Stephen A. Ramsey, Alistair G. Rust, et al.. (2009). Function of C/EBPδ in a regulatory circuit that discriminates between transient and persistent TLR4-induced signals. Nature Immunology. 10(4). 437–443. 235 indexed citations

15.

Zak, Daniel E. & Alan Aderem. (2008). Systems biology of innate immunity. Immunological Reviews. 227(1). 264–282. 116 indexed citations

16.

Korb, Martin, Alistair G. Rust, Vésteinn Thórsson, et al.. (2008). The Innate Immune Database (IIDB). BMC Immunology. 9(1). 7–7. 31 indexed citations

17.

Jia, Xinying, Laura de la Cruz, Xun‐Cheng Su, et al.. (2008). Memory T Cell RNA Rearrangement Programmed by Heterogeneous Nuclear Ribonucleoprotein hnRNPLL. Immunity. 29(6). 863–875. 67 indexed citations

18.

Hao, Haiping, Daniel E. Zak, Thomas Sauter, James S. Schwaber, & Babatunde A. Ogunnaike. (2005). Modeling the VPAC2-Activated cAMP/PKA Signaling Pathway: From Receptor to Circadian Clock Gene Induction. Biophysical Journal. 90(5). 1560–1571. 24 indexed citations

19.

Zak, Daniel E., Gregory E. Gonye, James S. Schwaber, & Francis J. Doyle. (2003). Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network. Genome Research. 13(11). 2396–2405. 133 indexed citations

20.

Zak, Daniel E.. (1988). Spontaneous bacterial peritonitis: A review of pathogenesis, diagnosis, and treatment. Journal of Emergency Medicine. 6(4). 351–351. 9 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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