Daniel Spakowicz

5.6k total citations · 1 hit paper
75 papers, 2.7k citations indexed

About

Daniel Spakowicz is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Daniel Spakowicz has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in Oncology and 12 papers in Pharmacology. Recurrent topics in Daniel Spakowicz's work include Gut microbiota and health (21 papers), Cancer Immunotherapy and Biomarkers (18 papers) and Microbial Natural Products and Biosynthesis (11 papers). Daniel Spakowicz is often cited by papers focused on Gut microbiota and health (21 papers), Cancer Immunotherapy and Biomarkers (18 papers) and Microbial Natural Products and Biosynthesis (11 papers). Daniel Spakowicz collaborates with scholars based in United States, Ecuador and China. Daniel Spakowicz's co-authors include Mark Gerstein, George M. Weinstock, Jethro S. Johnson, Erica Sodergren, Patrick Demkowicz, Lei Chen, Shana R. Leopold, Blake Hanson, Bo‐Young Hong and Lauren Petersen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Daniel Spakowicz

72 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.

Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis

2019 1.3k citations Jethro S. Johnson, Daniel Spakowicz et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Spakowicz United States	19	1.4k	359	303	294	287	75	2.7k
Kai Zhou China	36	1.6k 1.2×	324 0.9×	288 1.0×	152 0.5×	485 1.7×	206	4.8k
Michiko Tanaka Japan	30	948 0.7×	242 0.7×	259 0.9×	159 0.5×	264 0.9×	116	2.7k
Kek Heng Chua Malaysia	34	1.1k 0.8×	241 0.7×	268 0.9×	151 0.5×	367 1.3×	214	3.5k
Gianni Panagiotou Germany	37	2.8k 2.0×	420 1.2×	219 0.7×	251 0.9×	242 0.8×	134	4.4k
Nitin K. Singh United States	22	910 0.7×	224 0.6×	163 0.5×	327 1.1×	448 1.6×	127	2.5k
Yue Shen China	27	1.8k 1.3×	220 0.6×	131 0.4×	104 0.4×	243 0.8×	136	2.9k
Boyang Ji Sweden	26	1.6k 1.2×	147 0.4×	168 0.6×	133 0.5×	157 0.5×	66	2.4k
Jiakui Li China	36	1.9k 1.4×	323 0.9×	105 0.3×	125 0.4×	369 1.3×	292	4.8k
Yin Wang China	34	1.2k 0.9×	302 0.8×	152 0.5×	250 0.9×	72 0.3×	244	4.3k
Ying Li China	31	1.8k 1.3×	341 0.9×	84 0.3×	203 0.7×	179 0.6×	280	3.9k

Countries citing papers authored by Daniel Spakowicz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Spakowicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Spakowicz

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

Li, Yingjie, Anjun Ma, W. Evan Johnson, et al.. (2025). The new microbiome on the block: challenges and opportunities of using human tumor sequencing data to study microbes. Nature Methods. 22(9). 1788–1799.

Goldstein, Naomi E., et al.. (2025). The Role of the Microbiome in Cancer Therapies. Hematology/Oncology Clinics of North America. 39(2). 269–294.

Johns, Natalie, Songzhu Zhao, Po‐Lan Su, et al.. (2025). CLO25-080: Outcomes of Extreme Low PD-L1 Expression in Advanced Non-Small Cell Lung Cancer: Implications for Treatment Approaches. Journal of the National Comprehensive Cancer Network. 23(3.5). 1 indexed citations

Shi, Ni, Cristina Menni, Mary C. Playdon, et al.. (2024). Pro-inflammatory and hyperinsulinaemic dietary patterns are associated with specific gut microbiome profiles: a TwinsUK cohort study. SHILAP Revista de lepidopterología. 5. e12–e12. 2 indexed citations

Chambers, Laura, et al.. (2024). From poo to promise: Fecal microbiota transplants support immunotherapy re-sensitization in solid tumors. Cell Host & Microbe. 32(8). 1217–1218. 4 indexed citations

Han, Claire J., Ning Xia, Christin E. Burd, et al.. (2024). Chemotoxicity and Associated Risk Factors in Colorectal Cancer: A Systematic Review and Meta-Analysis. Cancers. 16(14). 2597–2597. 9 indexed citations

Zhou, Xin, Ariel B. Ganz, Benjamin Rolnik, et al.. (2024). Dynamic human gut microbiome and immune shifts during an immersive psychosocial intervention program. Brain Behavior and Immunity. 125. 428–443. 1 indexed citations

Hoyd, Rebecca, Ning Jin, Nicholas Denko, et al.. (2023). Exogenous Sequences in Tumors and Immune Cells (Exotic): A Tool for Estimating the Microbe Abundances in Tumor RNA-seq Data. Cancer Research Communications. 3(11). 2375–2385. 4 indexed citations

Madison, Annelise A., Christin E. Burd, Rebecca Andridge, et al.. (2023). Gut Microbiota Richness and Diversity Track With T Cell Aging in Healthy Adults. The Journals of Gerontology Series A. 79(3). 6 indexed citations

10.

Tinoco, Gabriel, Songzhu Zhao, Lai Wei, et al.. (2022). Immune checkpoint inhibitor-induced hepatitis injury: risk factors, outcomes, and impact on survival. Journal of Cancer Research and Clinical Oncology. 149(5). 2235–2242. 25 indexed citations

11.

Spakowicz, Daniel, et al.. (2021). The aging microbiome and response to immunotherapy: Considerations for the treatment of older adults with cancer. Journal of Geriatric Oncology. 12(6). 985–989. 6 indexed citations

12.

Liu, Jason, Daniel Spakowicz, Garrett I. Ash, et al.. (2021). Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLoS Computational Biology. 17(8). e1009303–e1009303. 15 indexed citations

13.

Spakowicz, Daniel, Shaoke Lou, José L. Gómez, et al.. (2020). Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients. Genome biology. 21(1). 150–150. 4 indexed citations

14.

Zhou, Xin, Jethro S. Johnson, Daniel Spakowicz, et al.. (2020). Longitudinal Analysis of Serum Cytokine Levels and Gut Microbial Abundance Links IL-17/IL-22 With Clostridia and Insulin Sensitivity in Humans. Diabetes. 69(8). 1833–1842. 11 indexed citations

15.

Johnson, Jethro S., Daniel Spakowicz, Bo‐Young Hong, et al.. (2019). Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nature Communications. 10(1). 5029–5029. 1309 indexed citations breakdown →

16.

Li, Mingjia, Daniel Spakowicz, Jarred Burkart, et al.. (2019). Change in neutrophil to lymphocyte ratio during immunotherapy treatment is a non-linear predictor of patient outcomes in advanced cancers. Journal of Cancer Research and Clinical Oncology. 145(10). 2541–2546. 82 indexed citations

17.

Muir, Paul, Shantao Li, Shaoke Lou, et al.. (2016). The real cost of sequencing: scaling computation to keep pace with data generation. Genome biology. 17(1). 53–53. 211 indexed citations

18.

Filho, José Guedes de Sena, Maureen B. Quin, Daniel Spakowicz, et al.. (2016). Genome of Diaporthe sp. provides insights into the potential inter-phylum transfer of a fungal sesquiterpenoid biosynthetic pathway. Fungal Biology. 120(8). 1050–1063. 12 indexed citations

19.

Spakowicz, Daniel, et al.. (2015). Biosynthesis and genomic analysis of medium-chain hydrocarbon production by the endophytic fungal isolate Nigrograna mackinnonii E5202H. Applied Microbiology and Biotechnology. 99(8). 3715–3728. 37 indexed citations

20.

Banerjee, Debdulal, et al.. (2010). An endophytic Myrothecium inundatum producing volatile organic compounds. Montana State University ScholarWorks (Montana State University). 27 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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