Tonya Ward

5.7k total citations · 2 hit papers
32 papers, 2.6k citations indexed

About

Tonya Ward is a scholar working on Molecular Biology, Infectious Diseases and Nutrition and Dietetics. According to data from OpenAlex, Tonya Ward has authored 32 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Infectious Diseases and 5 papers in Nutrition and Dietetics. Recurrent topics in Tonya Ward's work include Gut microbiota and health (19 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Infant Nutrition and Health (5 papers). Tonya Ward is often cited by papers focused on Gut microbiota and health (19 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Infant Nutrition and Health (5 papers). Tonya Ward collaborates with scholars based in United States, Canada and France. Tonya Ward's co-authors include Dan Knights, Pajau Vangay, Gabriel A. Al‐Ghalith, Jeffrey S. Gerber, Benjamin Hillmann, Illimar Altosaar, Cheryl A. Gale, Abigail J. Johnson, Ilya Ioshikhes and Rob Knight and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Tonya Ward

30 papers receiving 2.6k citations

Hit Papers

Daily Sampling Reveals Personalized Diet-Microbiome Ass... 2015 2026 2018 2022 2019 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tonya Ward United States 17 1.9k 616 566 359 329 32 2.6k
Alejandro Artacho Spain 30 2.4k 1.3× 836 1.4× 732 1.3× 485 1.4× 420 1.3× 52 4.1k
Gabriel A. Al‐Ghalith United States 17 2.0k 1.1× 643 1.0× 613 1.1× 318 0.9× 283 0.9× 29 2.8k
Charisse Petersen Canada 21 1.7k 0.9× 490 0.8× 466 0.8× 298 0.8× 243 0.7× 40 2.7k
Pajau Vangay United States 14 2.2k 1.2× 611 1.0× 693 1.2× 284 0.8× 481 1.5× 24 3.3k
Catherine Ngom‐Bru Switzerland 11 2.0k 1.1× 499 0.8× 934 1.7× 260 0.7× 492 1.5× 17 3.1k
Kei E. Fujimura United States 21 1.9k 1.0× 477 0.8× 864 1.5× 372 1.0× 390 1.2× 35 3.4k
Ali Rahnavard United States 12 2.5k 1.3× 488 0.8× 618 1.1× 374 1.0× 370 1.1× 32 3.5k
Yancong Zhang United States 12 2.2k 1.1× 447 0.7× 537 0.9× 349 1.0× 350 1.1× 22 3.2k
Timur Liwinski Germany 16 2.3k 1.2× 576 0.9× 552 1.0× 596 1.7× 285 0.9× 34 3.9k
Myriam Girard Switzerland 27 1.6k 0.8× 566 0.9× 694 1.2× 599 1.7× 221 0.7× 56 3.1k

Countries citing papers authored by Tonya Ward

Since Specialization
Citations

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

Fields of papers citing papers by Tonya Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya Ward

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

All Works

20 of 20 papers shown
1.
Khanna, Sahil, Paul Feuerstadt, Daniel Van Handel, et al.. (2025). S2048 Significant and Durable Microbiome Restoration in a Phase 3 Trial of Fecal Microbiota, Live-JSLM for Recurrent Clostridioides difficile Infection When Administered by Colonoscopy. The American Journal of Gastroenterology. 120(10S2). S440–S440.
2.
3.
Strom, Noah, et al.. (2023). Shallow shotgun sequencing reduces technical variation in microbiome analysis. Scientific Reports. 13(1). 7668–7668. 23 indexed citations
4.
Priya, Sambhawa, Michael B. Burns, Tonya Ward, et al.. (2022). Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integration. Nature Microbiology. 7(6). 780–795. 94 indexed citations
5.
Bajaj, Jasmohan S., Marcela Peña‐Rodríguez, Michael Fuchs, et al.. (2022). Longitudinal transkingdom gut microbial approach towards decompensation in outpatients with cirrhosis. Gut. 72(4). 759–771. 14 indexed citations
6.
Mihindukulasuriya, Kathie A., Ruben A. Mars, Abigail J. Johnson, et al.. (2021). Multi-Omics Analyses Show Disease, Diet, and Transcriptome Interactions With the Virome. Gastroenterology. 161(4). 1194–1207.e8. 49 indexed citations
7.
Sidiropoulos, Dimitrios N., Gabriel A. Al‐Ghalith, Robin Shields‐Cutler, et al.. (2020). Wild primate microbiomes prevent weight gain in germ-free mice. SHILAP Revista de lepidopterología. 2(1). 16–16. 10 indexed citations
8.
Ward, Tonya, Jessica L. Danzeisen, Kevin S. Lang, et al.. (2019). Antibiotics and Host-Tailored Probiotics Similarly Modulate Effects on the Developing Avian Microbiome, Mycobiome, and Host Gene Expression. mBio. 10(5). 29 indexed citations
9.
Johnson, Abigail J., Pajau Vangay, Gabriel A. Al‐Ghalith, et al.. (2019). Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans. Cell Host & Microbe. 25(6). 789–802.e5. 474 indexed citations breakdown →
11.
Ward, Tonya, Dan Knights, & Cheryl A. Gale. (2017). Infant fungal communities: current knowledge and research opportunities. BMC Medicine. 15(1). 30–30. 69 indexed citations
12.
Torres, Sheila M. F., Jonathan B. Clayton, Jessica L. Danzeisen, et al.. (2017). Diverse bacterial communities exist on canine skin and are impacted by cohabitation and time. PeerJ. 5. e3075–e3075. 33 indexed citations
13.
Montassier, Emmanuel, Gabriel A. Al‐Ghalith, Tonya Ward, et al.. (2016). Pretreatment gut microbiome predicts chemotherapy-related bloodstream infection. Genome Medicine. 8(1). 49–49. 133 indexed citations
14.
Knights, Dan, Tonya Ward, Hannah Miller, et al.. (2014). Rethinking “Enterotypes”. Cell Host & Microbe. 16(4). 433–437. 261 indexed citations
15.
Ward, Tonya, et al.. (2014). Ingested soluble CD14 contributes to the functional pool of circulating sCD14 in mice. Immunobiology. 219(7). 537–546. 7 indexed citations
16.
Ward, Tonya, et al.. (2013). Ingested soluble CD14 from milk is transferred intact into the blood of newborn rats. Pediatric Research. 75(2). 252–258. 5 indexed citations
17.
Ward, Tonya, et al.. (2013). Human milk metagenome: a functional capacity analysis. BMC Microbiology. 13(1). 116–116. 161 indexed citations
18.
Wan, Shen, Tonya Ward, & Illimar Altosaar. (2012). Strategy and tactics of disarming GHG at the source: N2O reductase crops. Trends in biotechnology. 30(8). 410–415. 14 indexed citations
19.
Spencer, W. J., Tonya Ward, David R. Blais, et al.. (2010). Alpha-Lactalbumin in Human Milk Alters the Proteolytic Degradation of Soluble CD14 by Forming a Complex. Pediatric Research. 68(6). 490–493. 14 indexed citations
20.
Ward, Tonya, et al.. (2010). A novel Escherichia coli‐derived mutation detected with the Big Blue® cII mutant selectable assay. Environmental and Molecular Mutagenesis. 51(4). 344–348.

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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