Shadi Nayeri

866 total citations
18 papers, 555 citations indexed

About

Shadi Nayeri is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Shadi Nayeri has authored 18 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in Shadi Nayeri's work include Genetic and phenotypic traits in livestock (8 papers), Reproductive Physiology in Livestock (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Shadi Nayeri is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Reproductive Physiology in Livestock (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Shadi Nayeri collaborates with scholars based in Canada, United States and Australia. Shadi Nayeri's co-authors include Paul Stothard, Mehdi Sargolzaei, Flávio S. Schenkel, Stephen P. Miller, S. S. Moore, Mohammed Abo-Ismail, Dan Tulpan, Mark S. Silverberg, Dermot McGovern and Luiz F. Brito and has published in prestigious journals such as Gastroenterology, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Shadi Nayeri

17 papers receiving 545 citations

Peers

Shadi Nayeri

GENET

ACS

ASZ

Liangyu Shi China

V. Schutzkus United States

Gloria Muñoz Spain

Bilal Akyüz Türkiye

Iwona Szatkowska Poland

Laurence Finot France

Annelie Everts-van der Wind United States

Fernando Silveira Mesquita Brazil

D.J. Howard Ireland

Liangyu Shi China

Shadi Nayeri

277 ×0.7

GENET

56 ×0.3

ACS

175 ×1.5

44 ×0.5

ASZ

133 ×1.6

Citations per year, relative to Shadi Nayeri Shadi Nayeri (= 1×) peers Liangyu Shi

Countries citing papers authored by Shadi Nayeri

Since Specialization

Citations

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

Fields of papers citing papers by Shadi Nayeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadi Nayeri

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

All Works

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18 of 18 papers shown

Leibovitzh, Haim, Shadi Nayeri, Cristian Hernández-Rocha, et al.. (2024). Inflammatory Bowel Disease Associated with Primary Sclerosing Cholangitis is Associated with an Altered Gut Microbiome and Bile Acid Profile. Journal of Crohn s and Colitis. 18(12). 1957–1966. 10 indexed citations

Verstockt, Bram, Stefania Vetrano, Azucena Salas, et al.. (2022). Sphingosine 1-phosphate modulation and immune cell trafficking in inflammatory bowel disease. Nature Reviews Gastroenterology & Hepatology. 19(6). 351–366. 89 indexed citations

Hernández-Rocha, Cristian, et al.. (2022). Combined Histo-endoscopic Remission but not Endoscopic Healing Alone in Ulcerative Colitis is Associated with a Mucosal Transcriptional Profile Resembling Healthy Mucosa. Journal of Crohn s and Colitis. 16(7). 1020–1029. 7 indexed citations

Leibovitzh, Haim, Shadi Nayeri, Cristian Hernández-Rocha, et al.. (2022). P066 Lower serum concentration of sulfated bile acids is associated with Primary Sclerosing Cholangitis Inflammatory Bowel Disease comorbidity and advanced liver fibrosis. Journal of Crohn s and Colitis. 16(Supplement_1). i173–i174. 1 indexed citations

Hernández-Rocha, Cristian, Williams Turpin, Shadi Nayeri, et al.. (2022). 555: MUCOSAL MICROBIAL PROFILES AT THE NEO-TERMINAL ILEUM ARE ASSOCIATED WITH FUTURE DEVELOPMENT OF POSTOPERATIVE ENDOSCOPIC RECURRENCE IN CROHN'S DISEASE PATIENTS.. Gastroenterology. 162(7). S–132.

Nayeri, Shadi, Jiayi Ji, Cristian Hernández-Rocha, et al.. (2021). A Role for CXCR3 Ligands as Biomarkers of Post-Operative Crohn’s Disease Recurrence. Journal of Crohn s and Colitis. 16(6). 900–910. 15 indexed citations

Linggi, Bryan, Vipul Jairath, Guangyong Zou, et al.. (2021). Meta-analysis of gene expression disease signatures in colonic biopsy tissue from patients with ulcerative colitis. Scientific Reports. 11(1). 18243–18243. 20 indexed citations

Hernández-Rocha, Cristian, Williams Turpin, Shadi Nayeri, et al.. (2021). Integrative Analysis of Colonic Biopsies from Inflammatory Bowel Disease Patients Identifies an Interaction Between Microbial Bile Acid-inducible Gene Abundance and Human Angiopoietin-like 4 Gene Expression. Journal of Crohn s and Colitis. 15(12). 2078–2087. 15 indexed citations

Nayeri, Shadi, et al.. (2020). Conducting Translational Gastrointestinal Research in the Era of COVID-19. Journal of Crohn s and Colitis. 14(12). 1759–1764. 1 indexed citations

10.

Hernández-Rocha, Cristian, Shadi Nayeri, Michelle I. Smith, et al.. (2020). Mo1124 RNA-SEQ GENE EXPRESSION PROFILE REVEALS THAT DUOXA2 AND CCL11 GENES ARE ASSOCIATED WITH PROGRESSIVE RISK OF COLORECTAL CANCER IN INFLAMMATORY BOWEL DISEASE PATIENTS. Gastroenterology. 158(6). S–796. 1 indexed citations

11.

Nayeri, Shadi, Mehdi Sargolzaei, & Dan Tulpan. (2019). A review of traditional and machine learning methods applied to animal breeding. Animal Health Research Reviews. 20(1). 31–46. 49 indexed citations

12.

Nayeri, Shadi, Flávio S. Schenkel, Pauline Martin, et al.. (2019). Estimation of genetic parameters for mid-infrared–predicted lactoferrin and milk fat globule size in Holstein cattle. Journal of Dairy Science. 103(3). 2487–2497. 3 indexed citations

13.

Nayeri, Shadi, Flávio S. Schenkel, A. Fleming, et al.. (2019). Genome-wide association analysis for β-hydroxybutyrate concentration in Milk in Holstein dairy cattle. BMC Genetics. 20(1). 58–58. 43 indexed citations

14.

Mallard, Bonnie A., et al.. (2018). Genome-Wide Association and Functional Annotation of Positional Candidate Genes for Immune Response in Canadian Holstein Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 711. 3 indexed citations

15.

Brito, Luiz F., Stephen P. Miller, Mehdi Sargolzaei, et al.. (2017). Genome-wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattle. Genetics Selection Evolution. 49(1). 82–82. 67 indexed citations

16.

Nayeri, Shadi, Mehdi Sargolzaei, Mohammed Abo-Ismail, et al.. (2016). Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle. BMC Genetics. 17(1). 75–75. 123 indexed citations

17.

Nayeri, Shadi, Mehdi Sargolzaei, Mohammed Abo-Ismail, et al.. (2016). Genome-wide association study for lactation persistency, female fertility, longevity, and lifetime profit index traits in Holstein dairy cattle. Journal of Dairy Science. 100(2). 1246–1258. 56 indexed citations

18.

Nayeri, Shadi & Paul Stothard. (2016). Tissues, Metabolic Pathways and Genes of Key Importance in Lactating Dairy Cattle. 4(2). 49–77. 52 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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