Ivan Ivanov

5.0k total citations
97 papers, 2.6k citations indexed

About

Ivan Ivanov is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ivan Ivanov has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 16 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Ivan Ivanov's work include Gene Regulatory Network Analysis (21 papers), Gut microbiota and health (17 papers) and Bioinformatics and Genomic Networks (15 papers). Ivan Ivanov is often cited by papers focused on Gene Regulatory Network Analysis (21 papers), Gut microbiota and health (17 papers) and Bioinformatics and Genomic Networks (15 papers). Ivan Ivanov collaborates with scholars based in United States, China and Sweden. Ivan Ivanov's co-authors include Robert S. Chapkin, Laurie A. Davidson, Edward R. Dougherty, Sharon M. Donovan, Mei Wang, Christie M. Sayes, Jennifer S. Goldsby, Joanne R. Lupton, Ranadip Pal and José F. García-Mazcorro and has published in prestigious journals such as The EMBO Journal, Bioinformatics and PLoS ONE.

In The Last Decade

Ivan Ivanov

96 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Ivanov United States 25 1.6k 440 322 315 283 97 2.6k
Shahid Umar United States 32 1.6k 1.0× 272 0.6× 352 1.1× 362 1.1× 267 0.9× 96 3.3k
Yeji Kim South Korea 22 1.4k 0.9× 204 0.5× 250 0.8× 206 0.7× 344 1.2× 72 2.5k
Rafael A. Burgos Chile 35 1.2k 0.8× 226 0.5× 181 0.6× 186 0.6× 256 0.9× 119 3.5k
Mónica Comalada Spain 34 2.2k 1.4× 726 1.6× 325 1.0× 548 1.7× 439 1.6× 62 4.5k
Yanan Cao China 31 1.4k 0.9× 177 0.4× 558 1.7× 351 1.1× 158 0.6× 151 3.5k
Yun Cui China 31 1.2k 0.7× 240 0.5× 499 1.5× 121 0.4× 126 0.4× 130 3.5k
Josep Bassaganya‐Riera United States 40 2.0k 1.3× 1.2k 2.6× 220 0.7× 565 1.8× 570 2.0× 94 4.5k
Raquel Hontecillas United States 44 2.1k 1.4× 1.1k 2.5× 235 0.7× 733 2.3× 573 2.0× 150 5.3k
Shalini Jain India 22 1.0k 0.6× 331 0.8× 169 0.5× 226 0.7× 303 1.1× 52 2.2k
Shu‐Lin Liu China 30 1.3k 0.8× 84 0.2× 288 0.9× 226 0.7× 229 0.8× 128 2.8k

Countries citing papers authored by Ivan Ivanov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ivanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Ivanov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Ivanov. A scholar is included among the top collaborators of Ivan Ivanov 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 Ivan Ivanov. Ivan Ivanov 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.
Ahmad, Irshad, Patricia Faulkner, Ivan Ivanov, et al.. (2024). Single-nucleus transcriptomics of epicardial adipose tissue from female pigs reveals effects of exercise training on resident innate and adaptive immune cells. Cell Communication and Signaling. 22(1). 243–243. 4 indexed citations
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Yang, Yongjian, Daniel Osorio, Laurie A. Davidson, et al.. (2021). Single-cell RNA Sequencing Reveals How the Aryl Hydrocarbon Receptor Shapes Cellular Differentiation Potency in the Mouse Colon. Cancer Prevention Research. 15(1). 17–28. 9 indexed citations
5.
Davidson, Laurie A., Yang‐Yi Fan, Jennifer S. Goldsby, et al.. (2020). Loss of aryl hydrocarbon receptor potentiates FoxM1 signaling to enhance self‐renewal of colonic stem and progenitor cells. The EMBO Journal. 39(19). e104319–e104319. 33 indexed citations
6.
Fang, Xin, Nan Ni, John P. Lydon, et al.. (2019). Enhancer of Zeste 2 Polycomb Repressive Complex 2 Subunit Is Required for Uterine Epithelial Integrity. American Journal Of Pathology. 189(6). 1212–1225. 22 indexed citations
7.
Lampe, Johanna W., Eunji Kim, Lisa Levy, et al.. (2018). Colonic mucosal and exfoliome transcriptomic profiling and fecal microbiome response to a flaxseed lignan extract intervention in humans. American Journal of Clinical Nutrition. 110(2). 377–390. 31 indexed citations
8.
Whitfield-Cargile, Canaan, Noah D. Cohen, Kejun He, et al.. (2017). The non-invasive exfoliated transcriptome (exfoliome) reflects the tissue-level transcriptome in a mouse model of NSAID enteropathy. Scientific Reports. 7(1). 14687–14687. 20 indexed citations
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Shah, Manasvi S., Eunjoo Kim, Laurie A. Davidson, et al.. (2015). Comparative effects of diet and carcinogen on microRNA expression in the stem cell niche of the mouse colonic crypt. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(1). 121–134. 17 indexed citations
11.
Riggs, Penny K., et al.. (2014). Expression of bovine genes associated with local and systemic immune response to infestation with the Lone Star tick, Amblyomma americanum. Ticks and Tick-borne Diseases. 5(6). 676–688. 2 indexed citations
12.
Kachroo, Priyanka, et al.. (2013). Age-Related Changes following In Vitro Stimulation with Rhodococcus equi of Peripheral Blood Leukocytes from Neonatal Foals. PLoS ONE. 8(5). e62879–e62879. 11 indexed citations
13.
Jia, Qian, Ivan Ivanov, Robert C. Alaniz, et al.. (2011). Dietary fish oil and curcumin combine to modulate colonic cytokinetics and gene expression in dextran sodium sulphate-treated mice. British Journal Of Nutrition. 106(4). 519–529. 56 indexed citations
14.
Kachroo, Priyanka, Ivan Ivanov, Laurie A. Davidson, et al.. (2011). Classification of Diet-Modulated Gene Signatures at the Colon Cancer Initiation and Progression Stages. Digestive Diseases and Sciences. 56(9). 2595–2604. 15 indexed citations
15.
Romoser, Amelia, Patricia L. Chen, Johanna Berg, et al.. (2011). Quantum dots trigger immunomodulation of the NFκB pathway in human skin cells. Molecular Immunology. 48(12-13). 1349–1359. 49 indexed citations
16.
Sayes, Christie M. & Ivan Ivanov. (2010). Comparative Study of Predictive Computational Models for Nanoparticle-Induced Cytotoxicity. Risk Analysis. 30(11). 1723–1734. 84 indexed citations
17.
Zhao, Chen, Ivan Ivanov, Edward R. Dougherty, et al.. (2009). Noninvasive Detection of Candidate Molecular Biomarkers in Subjects with a History of Insulin Resistance and Colorectal Adenomas. Cancer Prevention Research. 2(6). 590–597. 19 indexed citations
18.
Davidson, Laurie A., Naisyin Wang, Ivan Ivanov, et al.. (2009). Identification of Actively Translated mRNA Transcripts in a Rat Model of Early-Stage Colon Carcinogenesis. Cancer Prevention Research. 2(11). 984–994. 17 indexed citations
19.
Davidson, Laurie A., Naisyin Wang, Manasvi S. Shah, et al.. (2009). n -3 Polyunsaturated fatty acids modulate carcinogen-directed non-coding microRNA signatures in rat colon. Carcinogenesis. 30(12). 2077–2084. 134 indexed citations
20.
Ivanov, Ivan, et al.. (2000). Linear discrete operators on the disk algebra. Proceedings of the American Mathematical Society. 129(7). 1987–1993. 1 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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