Julia Isaeva

467 total citations
9 papers, 114 citations indexed

About

Julia Isaeva is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Julia Isaeva has authored 9 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Julia Isaeva's work include Optimal Experimental Design Methods (2 papers), Diabetes Management and Research (1 paper) and Ethics in Clinical Research (1 paper). Julia Isaeva is often cited by papers focused on Optimal Experimental Design Methods (2 papers), Diabetes Management and Research (1 paper) and Ethics in Clinical Research (1 paper). Julia Isaeva collaborates with scholars based in Norway, United Kingdom and Canada. Julia Isaeva's co-authors include Isabelle Budin‐Ljøsne, Jennifer R. Harris, Solve Sæbø, Harald Martens, Mark I. McCarthy, Huei-Yi Shen, Anne Marie Tassé, Bartha Maria Knoppers, John Wyller and Andrew Turner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Julia Isaeva

9 papers receiving 109 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Isaeva Norway	6	28	21	14	13	12	9	114
Melissa Norton United States	3	42 1.5×	14 0.7×	41 2.9×	10 0.8×	9 0.8×	5	158
Yannick Marcon United Kingdom	6	47 1.7×	35 1.7×	40 2.9×	22 1.7×	15 1.3×	10	191
Christoph Havemann Germany	6	41 1.5×	22 1.0×	40 2.9×	15 1.2×	10 0.8×	6	147
Casey Overby Taylor United States	7	50 1.8×	38 1.8×	26 1.9×	9 0.7×	6 0.5×	43	206
Michael J. S. Beauvais Canada	6	37 1.3×	21 1.0×	9 0.6×	5 0.4×	10 0.8×	15	89
Filip Velickovski Spain	7	14 0.5×	26 1.2×	12 0.9×	3 0.2×	18 1.5×	10	174
Siobhán Gaynor United Kingdom	2	34 1.2×	5 0.2×	8 0.6×	7 0.5×	9 0.8×	4	61
Alexander Davydov Belarus	3	17 0.6×	26 1.2×	19 1.4×	3 0.2×	3 0.3×	5	85
Peter Grabitz Germany	5	17 0.6×	22 1.0×	9 0.6×	9 0.7×	4 0.3×	8	124
Fernando Florenzano Chile	7	24 0.9×	14 0.7×	3 0.2×	7 0.5×	6 0.5×	15	111

Countries citing papers authored by Julia Isaeva

Since Specialization

Citations

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

Fields of papers citing papers by Julia Isaeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Isaeva

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

All Works

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9 of 9 papers shown

Agadjanian, Victor, et al.. (2021). Worry, work, discrimination: Socioecological model of psychological distress among Central Asian immigrant women in Russia. SHILAP Revista de lepidopterología. 1. 100011–100011. 3 indexed citations

Isaeva, Julia, et al.. (2021). Efficacy and safety of gp40081 (insulin aspart biphasic 30) compared to novomix 30 flexpen in type 2 diabetes mellitus patients. Endocrine Abstracts. 1 indexed citations

Budin‐Ljøsne, Isabelle, Paul Burton, Julia Isaeva, et al.. (2014). DataSHIELD: An Ethically Robust Solution to Multiple-Site Individual-Level Data Analysis. Public Health Genomics. 18(2). 87–96. 28 indexed citations

Budin‐Ljøsne, Isabelle, Julia Isaeva, Bartha Maria Knoppers, et al.. (2013). Data sharing in large research consortia: experiences and recommendations from ENGAGE. European Journal of Human Genetics. 22(3). 317–321. 42 indexed citations

Isaeva, Julia, Magni Martens, Solve Sæbø, John Wyller, & Harald Martens. (2012). The modelome of line curvature: Many nonlinear models approximated by a single bi-linear metamodel with verbal profiling. Physica D Nonlinear Phenomena. 241(9). 877–889. 6 indexed citations

Isaeva, Julia, Solve Sæbø, John Wyller, Olaf Wolkenhauer, & Harald Martens. (2011). Nonlinear modelling of curvature by bi-linear metamodelling. Chemometrics and Intelligent Laboratory Systems. 117. 2–12. 7 indexed citations

Isaeva, Julia, et al.. (2011). Fast and comprehensive fitting of complex mathematical models to massive amounts of empirical data. Chemometrics and Intelligent Laboratory Systems. 117. 13–21. 11 indexed citations

Martens, Harald, Ingrid Måge, Kristin Tøndel, et al.. (2010). Multi‐level binary replacement (MBR) design for computer experiments in high‐dimensional nonlinear systems. Journal of Chemometrics. 24(11-12). 748–756. 14 indexed citations

Isaeva, Julia, Solve Sæbø, John Wyller, et al.. (2010). Using GEMANOVA to explore the pattern generating properties of the Delta‐Notch model. Journal of Chemometrics. 24(10). 626–634. 2 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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