Inna Tabansky

966 citations
29 papers · 674 · h-index 13

Impact in

    • Subterranean biodiversity and taxonomy
  • Urology top 10%
    • Urinary Bladder and Prostate Research

Papers in

Inna Tabansky

28 papers receiving 662 citations

Peers

Inna Tabansky
Comparison fields: 5 of 95
  • Paleontology 114
  • Urology 52
  • Nature and Landscape Conservation 65
  • Developmental Neuroscience 16
  • Immunology 81
Replace Pamela C. Yelick with:
Pamela C. Yelick United States
Sergej Nowoshilow Austria
Terence D. Capellini United States
Masaki Takechi Japan
Ana Nóvoa Portugal
Naoyuki Wada Japan
Robert Cerny Czechia
April DeLaurier United States
Markéta Kaucká Germany
Anne K. Knecht United States
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Citations per field
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Pamela C. Yelick · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Inna Tabansky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inna Tabansky Line = papers co-authored together Inna Tabansky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008155
2 2012119
3 201679
4 201547
5 201834
6 202233
7
Crosstalk between the immune system and neural pathways in interstitial cystitis/bladder pain syndrome.
201824
8 201523
9 201423
10 201121
11
The role of B cells in multiple sclerosis: more than antibodies.
201616
12 201812
13 201912
14 201810
15 200310
16 20169
17 20159
18 20207
19 20167
20 20156

About Inna Tabansky

Inna Tabansky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Urology, Immunology and Surgery, having authored 29 papers that have together received 674 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Dermatology and Skin Diseases (4 papers), Immunotherapy and Immune Responses (4 papers), Pluripotent Stem Cells Research (3 papers), T-cell and B-cell Immunology (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Paleontology (114 citations), Urology (52 citations), Nature and Landscape Conservation (65 citations), Developmental Neuroscience (16 citations) and Immunology (81 citations). Inna Tabansky has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joel N. H. Stern, Donald W. Pfaff, Richard Borowsky, Melissa D. Conrad, Clifford J. Tabin, Joshua B. Gross, Oriol Vidal, Meredith Protas, Derin B. Keskin and E.B. Keverne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Behavioral Neuroscience, BioTechniques, Evolution & Development and Discovery Medicine.

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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