Daniel Garza

2.2k total citations
50 papers, 1.4k citations indexed

About

Daniel Garza is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Daniel Garza has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Infectious Diseases. Recurrent topics in Daniel Garza's work include Gut microbiota and health (9 papers), Sports injuries and prevention (7 papers) and Microbial Community Ecology and Physiology (6 papers). Daniel Garza is often cited by papers focused on Gut microbiota and health (9 papers), Sports injuries and prevention (7 papers) and Microbial Community Ecology and Physiology (6 papers). Daniel Garza collaborates with scholars based in United States, Netherlands and Belgium. Daniel Garza's co-authors include Bas E. Dutilh, Curtis A. Suttle, Rebecca Shultz, Gordon O. Matheson, David B. Camarillo, Pete B. Shull, Willem Meeuwisse, Ian Shrier, Martin Klügl and Omid Tavana and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Garza

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Garza United States	19	378	255	236	210	194	50	1.4k
Atsushi Yamamoto Japan	25	240 0.6×	227 0.9×	120 0.5×	972 4.6×	109 0.6×	170	2.7k
Maggie Simpson United Kingdom	21	241 0.6×	624 2.4×	30 0.1×	396 1.9×	104 0.5×	57	2.0k
John Charles Rotondo Italy	32	1.1k 2.9×	47 0.2×	73 0.3×	327 1.6×	112 0.6×	67	2.7k
Daniela Pinto Portugal	26	987 2.6×	20 0.1×	211 0.9×	252 1.2×	78 0.4×	96	2.2k
Yoshiko Nagano Japan	20	348 0.9×	40 0.2×	26 0.1×	199 0.9×	179 0.9×	38	1.4k
Huijue Jia China	17	1.2k 3.2×	67 0.3×	60 0.3×	84 0.4×	42 0.2×	31	1.5k
Mei Li China	16	297 0.8×	81 0.3×	67 0.3×	88 0.4×	22 0.1×	70	1.1k
J. A. M. A. Dormans Netherlands	22	250 0.7×	38 0.1×	30 0.1×	285 1.4×	75 0.4×	59	1.6k
Carolina López‐Cano Spain	15	540 1.4×	12 0.0×	145 0.6×	208 1.0×	101 0.5×	40	1.3k
Hong Cao China	22	746 2.0×	23 0.1×	34 0.1×	160 0.8×	69 0.4×	102	1.5k

Countries citing papers authored by Daniel Garza

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Garza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Garza

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

Garza, Daniel, et al.. (2026). Spatial structure: shaping the ecology and evolution of microbial communities. FEMS Microbiology Reviews. 50.

Bouchez, Théodore, Bin Liu, & Daniel Garza. (2025). Healthy gut microbiomes are host-controllable microbiomes. Frontiers in Microbiology. 15. 1497083–1497083.

Garza, Daniel, et al.. (2025). Emergence of alternative states in a synthetic human gut microbial community. Nature Communications. 17(1). 326–326.

Garza, Daniel, et al.. (2024). Exploiting gut microbial traits and trade-offs in microbiome-based therapeutics. Nature Reviews Bioengineering. 2(5). 364–366. 2 indexed citations

Gao, Yu, et al.. (2023). miaSim: an R/Bioconductor package to easily simulate microbial community dynamics. Methods in Ecology and Evolution. 14(8). 1967–1980. 6 indexed citations

Bruggeling, Carlijn E., Daniel Garza, Irıs D. Nagtegaal, et al.. (2023). Bacterial Oncotraits Rather than Spatial Organization Are Associated with Dysplasia in Ulcerative Colitis. Journal of Crohn s and Colitis. 17(11). 1870–1881. 5 indexed citations

Garza, Daniel, et al.. (2023). Metabolic models of human gut microbiota: Advances and challenges. Cell Systems. 14(2). 109–121. 14 indexed citations

Liu, Bin, Daniel Garza, Didier Gonze, et al.. (2023). Starvation responses impact interaction dynamics of human gut bacteriaBacteroides thetaiotaomicronandRoseburia intestinalis. The ISME Journal. 17(11). 1940–1952. 12 indexed citations

Algaba, Alicia, et al.. (2022). Respuesta serológica a las vacunas frente a SARS-CoV-2 en pacientes con enfermedad inflamatoria intestinal. Gastroenterología y Hepatología. 46(1). 48–53. 1 indexed citations

10.

Meerstein‐Kessel, Lisette, Konstantin Barylyuk, Jordy P. M. Coolen, et al.. (2021). A Prioritized and Validated Resource of Mitochondrial Proteins in Plasmodium Identifies Unique Biology. mSphere. 6(5). e0061421–e0061421. 15 indexed citations

11.

Meerstein‐Kessel, Lisette, Daniel Garza, Joshua M. Obiero, et al.. (2021). Novel insights from the Plasmodium falciparum sporozoite-specific proteome by probabilistic integration of 26 studies. PLoS Computational Biology. 17(4). e1008067–e1008067. 5 indexed citations

12.

Taddese, Rahwa, Daniel Garza, Marien I. de Jonge, et al.. (2020). Growth rate alterations of human colorectal cancer cells by 157 gut bacteria. Gut Microbes. 12(1). 1799733–1799733. 28 indexed citations

13.

Garza, Daniel & Bas E. Dutilh. (2015). From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems. Cellular and Molecular Life Sciences. 72(22). 4287–4308. 103 indexed citations

14.

Dutilh, Bas E., Cristiane C. Thompson, Michel A Marín, et al.. (2014). Comparative genomics of 274 Vibrio cholerae genomes reveals mobile functions structuring three niche dimensions. BMC Genomics. 15(1). 654–654. 20 indexed citations

15.

Jackson, James G., Vinod Pant, Qin Li, et al.. (2012). p53-Mediated Senescence Impairs the Apoptotic Response to Chemotherapy and Clinical Outcome in Breast Cancer. Cancer Cell. 21(6). 793–806. 261 indexed citations

16.

Uberoi, Abhimanyu, Nikhil Jain, Daniel Garza, et al.. (2011). The Impact of ST Elevation on Athletic Screening. Clinical Journal of Sport Medicine. 21(5). 433–440. 10 indexed citations

17.

Le, Vy–Van, Matthew T. Wheeler, Sandra Mandic, et al.. (2010). Addition of the Electrocardiogram to the Preparticipation Examination of College Athletes. Clinical Journal of Sport Medicine. 20(2). 98–105. 61 indexed citations

18.

Annerstedt, Claes, Daniel Garza, Lennart Gullstrand, et al.. (2009). Blended Learning through Global Network and Interdisciplinary Live Distance Experiments at Human Performance Laboratories. 2 indexed citations

19.

Ouyang, Daniel, Holbrook E. Kohrt, Daniel Garza, & Gordon O. Matheson. (2008). Massive Splenic Infarct in a Collegiate Football Player With Hemoglobin SC Disease. Clinical Journal of Sport Medicine. 18(1). 89–91. 4 indexed citations

20.

Garza, Daniel, et al.. (1997). The Clinical Value of Serum Ferritin Tests in Endurance Athletes. Clinical Journal of Sport Medicine. 7(1). 46–53. 22 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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