Natalya Lyubynska

1.4k total citations
8 papers, 1.2k citations indexed

About

Natalya Lyubynska is a scholar working on Genetics, Oncology and Surgery. According to data from OpenAlex, Natalya Lyubynska has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in Natalya Lyubynska's work include Sympathectomy and Hyperhidrosis Treatments (2 papers), Acute Myeloid Leukemia Research (2 papers) and Lymphatic System and Diseases (2 papers). Natalya Lyubynska is often cited by papers focused on Sympathectomy and Hyperhidrosis Treatments (2 papers), Acute Myeloid Leukemia Research (2 papers) and Lymphatic System and Diseases (2 papers). Natalya Lyubynska collaborates with scholars based in United States, Australia and Finland. Natalya Lyubynska's co-authors include Peter Bałuk, Donald M. McDonald, Kari Alitalo, Tatiana V. Petrova, Tuomas Tammela, Marc G. Achen, David G. Jackson, Seppo Ylä‐Herttuala, Steven A. Stacker and Bronislaw Pytowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Natalya Lyubynska

8 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalya Lyubynska United States	6	816	469	327	313	176	8	1.2k
Ingrid Raab Austria	10	685 0.8×	391 0.8×	297 0.9×	238 0.8×	333 1.9×	10	1.2k
Adam Mizeracki United States	11	635 0.8×	568 1.2×	1.1k 3.5×	126 0.4×	60 0.3×	12	1.8k
Simona Podgrabinska United States	9	957 1.2×	633 1.3×	211 0.6×	188 0.6×	256 1.5×	11	1.3k
Riccardo E. Nisato Switzerland	9	501 0.6×	384 0.8×	154 0.5×	93 0.3×	157 0.9×	11	834
Maria Wirzenius Finland	8	536 0.7×	449 1.0×	136 0.4×	147 0.5×	70 0.4×	9	845
Kan Kishibe Japan	23	778 1.0×	315 0.7×	159 0.5×	115 0.4×	529 3.0×	90	1.6k
Akimitsu Hiraki Japan	20	558 0.7×	526 1.1×	161 0.5×	109 0.3×	218 1.2×	47	1.3k
Andres Ferbér United States	17	303 0.4×	901 1.9×	173 0.5×	95 0.3×	87 0.5×	38	1.5k
Jamie C. Zampell United States	20	1.4k 1.8×	232 0.5×	834 2.6×	486 1.6×	138 0.8×	25	1.8k
Kandelaria M. Rumilla United States	21	499 0.6×	339 0.7×	220 0.7×	103 0.3×	89 0.5×	38	1.2k

Countries citing papers authored by Natalya Lyubynska

Since Specialization

Citations

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

Fields of papers citing papers by Natalya Lyubynska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalya Lyubynska

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Moor, Molly A., et al.. (2017). Seven Cases of Zika Virus Infection in South Florida. Cureus. 9(3). e1099–e1099. 5 indexed citations

2.

Shchors, Ksenya, Anders I. Persson, Tarık Tihan, et al.. (2013). Using a preclinical mouse model of high-grade astrocytoma to optimize p53 restoration therapy. Proceedings of the National Academy of Sciences. 110(16). E1480–9. 36 indexed citations

3.

Lyubynska, Natalya, Matthew F. Gorman, Jennifer Lauchle, et al.. (2011). A MEK Inhibitor Abrogates Myeloproliferative Disease in Kras Mutant Mice. Science Translational Medicine. 3(76). 76ra27–76ra27. 71 indexed citations

4.

Lyubynska, Natalya, Jennifer Lauchle, Kevin Shannon, & Benjamin S. Braun. (2009). Treatment with a MEK Inhibitor Improves Myeloproliferation, Anemia and Survival in a Mouse Model of CMML and JMML.. Blood. 114(22). 966–966. 1 indexed citations

5.

Schubbert, Suzanne, Gideon Bollag, Natalya Lyubynska, et al.. (2007). Biochemical and Functional Characterization of Germ Line KRAS Mutations. Molecular and Cellular Biology. 27(22). 7765–7770. 70 indexed citations

6.

Bałuk, Peter, Tuomas Tammela, Natalya Lyubynska, et al.. (2005). Pathogenesis of persistent lymphatic vessel hyperplasia in chronic airway inflammation. Journal of Clinical Investigation. 115(2). 247–257. 470 indexed citations

7.

Xu, Xiang, Dongji Zhang, Natalya Lyubynska, et al.. (2005). Mast Cells Protect Mice from Mycoplasma Pneumonia. American Journal of Respiratory and Critical Care Medicine. 173(2). 219–225. 66 indexed citations

8.

Bałuk, Peter, Tuomas Tammela, Natalya Lyubynska, et al.. (2005). Pathogenesis of persistent lymphatic vessel hyperplasia in chronic airway inflammation. Journal of Clinical Investigation. 115(2). 247–257. 450 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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