Daniel Kurtz

442 total citations
9 papers, 265 citations indexed

About

Daniel Kurtz is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Daniel Kurtz has authored 9 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Oncology. Recurrent topics in Daniel Kurtz's work include Microbial Community Ecology and Physiology (2 papers), Gut microbiota and health (2 papers) and Genomics and Phylogenetic Studies (2 papers). Daniel Kurtz is often cited by papers focused on Microbial Community Ecology and Physiology (2 papers), Gut microbiota and health (2 papers) and Genomics and Phylogenetic Studies (2 papers). Daniel Kurtz collaborates with scholars based in United States and Canada. Daniel Kurtz's co-authors include Andrew C. Doxey, Josh D. Neufeld, Laura A. Sauder, Michael D. J. Lynch, Briallen Lobb, Gabriel Moreno‐Hagelsieb, Yoram Sorokin, Donovan Watza, Chris T. Harvey and Xiang Zhou and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Genome Research.

In The Last Decade

Daniel Kurtz

8 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Kurtz United States	5	165	117	40	30	25	9	265
John Sundh Sweden	8	127 0.8×	139 1.2×	11 0.3×	31 1.0×	60 2.4×	14	265
Valérie Vergé France	11	219 1.3×	117 1.0×	11 0.3×	45 1.5×	79 3.2×	17	365
Gerrit Wienhausen Germany	10	134 0.8×	230 2.0×	9 0.2×	20 0.7×	108 4.3×	14	326
Luis E. Valentin-Alvarado United States	8	161 1.0×	96 0.8×	9 0.2×	36 1.2×	17 0.7×	12	261
Kerrin Mendler United States	3	141 0.9×	80 0.7×	34 0.8×	25 0.8×	3 0.1×	5	207
Manikandan Vinu United States	11	212 1.3×	129 1.1×	8 0.2×	96 3.2×	17 0.7×	21	417
Ji Won Choi South Korea	11	134 0.8×	84 0.7×	20 0.5×	89 3.0×	101 4.0×	22	339
Sara Freitas Portugal	7	184 1.1×	152 1.3×	11 0.3×	110 3.7×	52 2.1×	11	380
Chuankai Cheng United States	8	186 1.1×	71 0.6×	38 0.9×	15 0.5×	11 0.4×	12	222
Stephen D. Mastrian United States	6	197 1.2×	151 1.3×	51 1.3×	32 1.1×	35 1.4×	8	277

Countries citing papers authored by Daniel Kurtz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kurtz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kurtz

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

All Works

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9 of 9 papers shown

1.

Sharma, Aditya, et al.. (2025). Epidemiology and outcomes of hospitalized patients with lung cancer and acute respiratory failure: National inpatient database analysis. Hematology/Oncology and Stem Cell Therapy.

2.

Kurtz, Daniel, et al.. (2024). Epidemiology and Outcomes of Hospitalized Chimeric Antigen Receptor T-Cell (CAR-T) Therapy Patients Who Developed Acute Respiratory Failure. Journal of Intensive Care Medicine. 39(11). 1146–1154. 1 indexed citations

3.

Kurtz, Daniel, et al.. (2022). Cross-Validation of a Global Machine Learning Model to Predict COVID-19 Mortality. A3171–A3171. 1 indexed citations

4.

Azar, Ibrahim, Seongho Kim, Hyejeong Jang, et al.. (2021). Cisplatin versus carboplatin for the treatment of limited-stage small cell lung cancer (LS-SCLC).. Journal of Clinical Oncology. 39(15_suppl). 8565–8565. 1 indexed citations

5.

Kurtz, Daniel, et al.. (2020). Xylophagia (paper eating): A rare form of pica. SHILAP Revista de lepidopterología. 8(12). 3546–3547. 4 indexed citations

6.

Moyerbrailean, Gregory A., Allison L. Richards, Daniel Kurtz, et al.. (2016). High-throughput allele-specific expression across 250 environmental conditions. Genome Research. 26(12). 1627–1638. 71 indexed citations

7.

Lobb, Briallen, Daniel Kurtz, Gabriel Moreno‐Hagelsieb, & Andrew C. Doxey. (2015). Remote homology and the functions of metagenomic dark matter. Frontiers in Genetics. 6. 234–234. 25 indexed citations

8.

Lobb, Briallen, et al.. (2015). MetAnnotate: function-specific taxonomic profiling and comparison of metagenomes. BMC Biology. 13(1). 92–92. 30 indexed citations

9.

Doxey, Andrew C., Daniel Kurtz, Michael D. J. Lynch, Laura A. Sauder, & Josh D. Neufeld. (2014). Aquatic metagenomes implicate Thaumarchaeota in global cobalamin production. The ISME Journal. 9(2). 461–471. 132 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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