Maria Ukhanova

2.2k total citations
38 papers, 1.7k citations indexed

About

Maria Ukhanova is a scholar working on Molecular Biology, Nutrition and Dietetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maria Ukhanova has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Nutrition and Dietetics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maria Ukhanova's work include Gut microbiota and health (22 papers), Nutritional Studies and Diet (7 papers) and Probiotics and Fermented Foods (5 papers). Maria Ukhanova is often cited by papers focused on Gut microbiota and health (22 papers), Nutritional Studies and Diet (7 papers) and Probiotics and Fermented Foods (5 papers). Maria Ukhanova collaborates with scholars based in United States, France and Sweden. Maria Ukhanova's co-authors include Volker Mai, Xiaoyu Wang, Josef Neu, Renu Sharma, Mark L. Hudak, Yijun Sun, Nan Li, Roberto Murgas Torrazza, Christopher Young and Douglas W. Theriaque and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Maria Ukhanova

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Ukhanova United States 20 807 736 307 246 227 38 1.7k
Diana H. Taft United States 19 1.1k 1.4× 800 1.1× 248 0.8× 327 1.3× 191 0.8× 43 2.1k
Carla Hall-Moore United States 12 697 0.9× 704 1.0× 258 0.8× 153 0.6× 174 0.8× 21 1.5k
Maria Luisa Callegari Italy 29 1.2k 1.5× 592 0.8× 223 0.7× 866 3.5× 101 0.4× 67 2.5k
Izaskun García‐Mantrana Spain 22 940 1.2× 842 1.1× 166 0.5× 239 1.0× 268 1.2× 30 2.0k
Marie‐José Butel France 32 1.3k 1.6× 1.3k 1.7× 504 1.6× 726 3.0× 162 0.7× 82 2.9k
Klaudyna Borewicz Netherlands 18 927 1.1× 455 0.6× 262 0.9× 416 1.7× 79 0.3× 27 1.6k
Irene Lenoir‐Wijnkoop Netherlands 22 795 1.0× 627 0.9× 190 0.6× 773 3.1× 193 0.9× 47 2.1k
John Thomson United Kingdom 14 937 1.2× 359 0.5× 375 1.2× 339 1.4× 99 0.4× 37 2.1k
Marie-France de la Cochetière France 12 779 1.0× 571 0.8× 285 0.9× 254 1.0× 71 0.3× 15 1.4k
Anne‐Judith Waligora‐Dupriet France 29 1.0k 1.2× 518 0.7× 542 1.8× 464 1.9× 88 0.4× 47 2.2k

Countries citing papers authored by Maria Ukhanova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ukhanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ukhanova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Ukhanova. A scholar is included among the top collaborators of Maria Ukhanova 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 Maria Ukhanova. Maria Ukhanova 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.
Yaghjyan, Lusine, Volker Mai, Lancia Darville, et al.. (2023). Associations of gut microbiome with endogenous estrogen levels in healthy postmenopausal women. Cancer Causes & Control. 34(10). 873–881. 1 indexed citations
2.
Keshavarzian, Ali, Bruce R. Hamaker, Feitong Liu, et al.. (2023). Curated and harmonized gut microbiome 16S rRNA amplicon data from dietary fiber intervention studies in humans. Scientific Data. 10(1). 346–346. 3 indexed citations
3.
Yaghjyan, Lusine, Volker Mai, Xuefeng Wang, et al.. (2021). Gut microbiome, body weight, and mammographic breast density in healthy postmenopausal women. Cancer Causes & Control. 32(7). 681–692. 7 indexed citations
4.
Markland, Sarah M., Thomas A. Weppelmann, Zhengxin Ma, et al.. (2019). High Prevalence of Cefotaxime Resistant Bacteria in Grazing Beef Cattle: A Cross Sectional Study. Frontiers in Microbiology. 10. 176–176. 31 indexed citations
5.
Pope, Jillian L., Ye Yang, Rachel C. Newsome, et al.. (2019). Microbial Colonization Coordinates the Pathogenesis of a Klebsiella pneumoniae Infant Isolate. Scientific Reports. 9(1). 3380–3380. 30 indexed citations
6.
8.
Ukhanova, Maria, et al.. (2017). Effects of sun‐dried raisin consumption on gut microbiota composition. The FASEB Journal. 31(S1). 1 indexed citations
9.
Mai, Volker, et al.. (2016). Novel encapsulation improves recovery of probiotic strains in fecal samples of human volunteers. Applied Microbiology and Biotechnology. 101(4). 1419–1425. 16 indexed citations
11.
Langkamp‐Henken, Bobbi, Volker Mai, Carmelo Nieves, et al.. (2015). Diet quality improves for parents and children when almonds are incorporated into their daily diet: a randomized, crossover study. Nutrition Research. 36(1). 80–89. 46 indexed citations
13.
Garrison, Aaron T., Yasmeen Abouelhassan, Dimitris Kallifidas, et al.. (2015). Halogenated Phenazines that Potently Eradicate Biofilms, MRSA Persister Cells in Non‐Biofilm Cultures, and Mycobacterium tuberculosis. Angewandte Chemie International Edition. 54(49). 14819–14823. 79 indexed citations
14.
Ukhanova, Maria, Xiaoyu Wang, David J. Baer, et al.. (2014). Effects of almond and pistachio consumption on gut microbiota composition in a randomised cross-over human feeding study. British Journal Of Nutrition. 111(12). 2146–2152. 127 indexed citations
15.
Culpepper, Tyler, Volker Mai, Amanda Ford, et al.. (2014). Evaluation of Bacillus subtilis R0179 on gastrointestinal viability and general wellness: a randomised, double-blind, placebo-controlled trial in healthy adults. Beneficial Microbes. 6(1). 19–28. 50 indexed citations
16.
Stote, Kim S., Theresa R. Henderson, David R. Paul, et al.. (2014). The Metabolizable Energy of Dietary Resistant Maltodextrin Is Variable and Alters Fecal Microbiota Composition in Adult Men. Journal of Nutrition. 144(7). 1023–1029. 59 indexed citations
17.
Torrazza, Roberto Murgas, Maria Ukhanova, Xiaoyu Wang, et al.. (2013). Intestinal Microbial Ecology and Environmental Factors Affecting Necrotizing Enterocolitis. PLoS ONE. 8(12). e83304–e83304. 142 indexed citations
18.
Mai, Volker, Roberto Murgas Torrazza, Maria Ukhanova, et al.. (2013). Distortions in Development of Intestinal Microbiota Associated with Late Onset Sepsis in Preterm Infants. PLoS ONE. 8(1). e52876–e52876. 197 indexed citations
19.
Ukhanova, Maria, Tyler Culpepper, David J. Baer, et al.. (2012). Gut microbiota correlates with energy gain from dietary fibre and appears to be associated with acute and chronic intestinal diseases. Clinical Microbiology and Infection. 18. 62–66. 14 indexed citations
20.
Mai, Volker, Christopher Young, Maria Ukhanova, et al.. (2011). Fecal Microbiota in Premature Infants Prior to Necrotizing Enterocolitis. PLoS ONE. 6(6). e20647–e20647. 399 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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