Inna Tabansky

947 total citations
24 papers, 600 citations indexed

About

Inna Tabansky is a scholar working on Molecular Biology, Urology and Immunology. According to data from OpenAlex, Inna Tabansky has authored 24 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Urology and 6 papers in Immunology. Recurrent topics in Inna Tabansky's work include Urinary Bladder and Prostate Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Dermatology and Skin Diseases (4 papers). Inna Tabansky is often cited by papers focused on Urinary Bladder and Prostate Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Dermatology and Skin Diseases (4 papers). Inna Tabansky collaborates with scholars based in United States, United Kingdom and Germany. Inna Tabansky's co-authors include Joel N. H. Stern, Donald W. Pfaff, Meredith Protas, Oriol Vidal, Clifford J. Tabin, Richard Borowsky, Melissa D. Conrad, Joshua B. Gross, Derin B. Keskin and E.B. Keverne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Inna Tabansky

23 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inna Tabansky United States 12 217 99 89 83 77 24 600
Nikki R. Hislop Australia 9 504 2.3× 83 0.8× 121 1.4× 83 1.0× 89 1.2× 11 786
Sergej Nowoshilow Austria 10 677 3.1× 28 0.3× 156 1.8× 53 0.6× 91 1.2× 12 957
Xavier Caubit France 20 758 3.5× 64 0.6× 238 2.7× 31 0.4× 83 1.1× 41 1.1k
Robert M. Langille Canada 15 542 2.5× 51 0.5× 177 2.0× 52 0.6× 29 0.4× 27 781
Keiji Inohaya Japan 20 703 3.2× 28 0.3× 265 3.0× 84 1.0× 32 0.4× 35 1.2k
Linda A. Barlow United States 27 729 3.4× 24 0.2× 159 1.8× 68 0.8× 51 0.7× 49 2.0k
Ana Nóvoa Portugal 15 859 4.0× 72 0.7× 258 2.9× 36 0.4× 26 0.3× 30 1.1k
Siu‐Shan Mak Japan 11 489 2.3× 29 0.3× 98 1.1× 71 0.9× 13 0.2× 13 812
Markéta Kaucká Sweden 16 479 2.2× 32 0.3× 94 1.1× 82 1.0× 21 0.3× 34 824
Jeremy S. Rabinowitz United States 10 379 1.7× 48 0.5× 101 1.1× 84 1.0× 86 1.1× 17 699

Countries citing papers authored by Inna Tabansky

Since Specialization
Citations

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

Fields of papers citing papers by Inna Tabansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Tabansky

This figure shows the co-authorship network connecting the top 25 collaborators of Inna Tabansky. A scholar is included among the top collaborators of Inna Tabansky 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 Inna Tabansky. Inna Tabansky 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.
Tabansky, Inna, et al.. (2023). The immune system in Interstitial Cystitis/Bladder Pain Syndrome and therapeutic agents. SHILAP Revista de lepidopterología. 8. 101057–101057.
2.
Moldwin, Robert, Oksana Yaskiv, Chengliang Zhang, et al.. (2022). Immune cell profiles of patients with interstitial cystitis/bladder pain syndrome. Journal of Translational Medicine. 20(1). 97–97. 27 indexed citations
3.
Tabansky, Inna, Min Liu, Robert Moldwin, et al.. (2022). PD08-01 B-CELL CLONOTYPE IN PATIENTS WITH INTERSTITIAL CYSTITIS/BLADDER PAIN SYNDROME PRESENTING WITH HUNNER LESIONS. The Journal of Urology. 207(Supplement 5). 1 indexed citations
4.
Laurent, Micheline N., et al.. (2021). Defining the role of T lymphocytes in the immunopathogenesis of neuromyelitis optica spectrum disorder.. Discovery Medicine. 29(157). 91–102. 5 indexed citations
5.
Bubnys, Adele, et al.. (2019). Hindbrain V2a Neurons Pattern Rhythmic Activity of Motor Neurons in a Reticulospinal Coculture. Frontiers in Neuroscience. 13. 1077–1077. 3 indexed citations
6.
Magariños, Ana Marı́a, Sara Pedrón, Murat Kılınç, et al.. (2018). The Feasibility of Encapsulated Embryonic Medullary Reticular Cells to Grow and Differentiate Into Neurons in Functionalized Gelatin-Based Hydrogels. Frontiers in Materials. 5. 10 indexed citations
7.
Tabansky, Inna, Derin B. Keskin, Deepika Watts, et al.. (2018). Targeting DEC-205−DCIR2+ dendritic cells promotes immunological tolerance in proteolipid protein-induced experimental autoimmune encephalomyelitis. Molecular Medicine. 24(1). 17–17. 31 indexed citations
8.
Tabansky, Inna, Yupu Liang, Maya Frankfurt, et al.. (2018). Molecular profiling of reticular gigantocellularis neurons indicates that eNOS modulates environmentally dependent levels of arousal. Proceedings of the National Academy of Sciences. 115(29). E6900–E6909. 12 indexed citations
9.
Duh, Kevin, et al.. (2018). Crosstalk between the immune system and neural pathways in interstitial cystitis/bladder pain syndrome.. PubMed. 25(139). 243–250. 23 indexed citations
10.
Wollny, Damian, Sheng Zhao, Xiao‐Kang Lun, et al.. (2016). Single-Cell Analysis Uncovers Clonal Acinar Cell Heterogeneity in the Adult Pancreas. Developmental Cell. 39(3). 289–301. 73 indexed citations
11.
Liu, Xu, Donald W. Pfaff, Inna Tabansky, et al.. (2016). Development of Electrophysiological Properties of Nucleus Gigantocellularis Neurons Correlated with Increased CNS Arousal. Developmental Neuroscience. 38(4). 295–310. 9 indexed citations
12.
Wright, Paul, et al.. (2016). The role of B cells in multiple sclerosis: more than antibodies.. PubMed. 22(122). 251–255. 16 indexed citations
13.
Tabansky, Inna, Jeffrey Goldstein, Venkatesh Jeganathan, et al.. (2015). Advancing drug delivery systems for the treatment of multiple sclerosis. Immunologic Research. 63(1-3). 58–69. 20 indexed citations
14.
Tabansky, Inna, Joel N. H. Stern, & Donald W. Pfaff. (2015). Implications of Epigenetic Variability within a Cell Population for “Cell Type” Classification. Frontiers in Behavioral Neuroscience. 9. 342–342. 7 indexed citations
15.
Encinales, Liliana, Joel N. H. Stern, Inna Tabansky, et al.. (2015). High levels of anti-tuberculin (IgG) antibodies correlate with the blocking of T-cell proliferation in individuals with high exposure to Mycobacterium tuberculosis. International Journal of Infectious Diseases. 43. 21–24. 6 indexed citations
16.
Tabansky, Inna, et al.. (2014). Temporally-patterned deep brain stimulation in a mouse model of multiple traumatic brain injury. Behavioural Brain Research. 273. 123–132. 21 indexed citations
17.
Tabansky, Inna, Alan Lenarcic, Ryan W. Draft, et al.. (2012). Developmental Bias in Cleavage-Stage Mouse Blastomeres. Current Biology. 23(1). 21–31. 110 indexed citations
18.
Zakka, Labib R., et al.. (2011). The role of natural killer cells in autoimmune blistering diseases. Autoimmunity. 45(1). 44–54. 21 indexed citations
19.
Protas, Meredith, Inna Tabansky, Melissa D. Conrad, et al.. (2008). Multi‐trait evolution in a cave fish,Astyanax mexicanus. Evolution & Development. 10(2). 196–209. 136 indexed citations
20.
Tabansky, Inna & Dmitry I. Nurminsky. (2003). Mapping of Transcription Start Sites by Direct Sequencing of SMART™ RACE Products. BioTechniques. 34(3). 482–486. 10 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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