Tania Nikolcheva

2.4k total citations · 2 hit papers
29 papers, 1.4k citations indexed

About

Tania Nikolcheva is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Tania Nikolcheva has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Immunology. Recurrent topics in Tania Nikolcheva's work include Alzheimer's disease research and treatments (9 papers), T-cell and B-cell Immunology (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Tania Nikolcheva is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), T-cell and B-cell Immunology (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Tania Nikolcheva collaborates with scholars based in Switzerland, United States and United Kingdom. Tania Nikolcheva's co-authors include Gary Peltz, Alan M. Krensky, An Song, Sarah A. Woodson, Paulo Fontoura, Zafrira Avnur, Robert Lasser, Philip Scheltens, Merçé Boada and Bruno Dubois and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Tania Nikolcheva

28 papers receiving 1.4k citations

Hit Papers

A phase III randomized trial of gantenerumab in prodromal... 2017 2026 2020 2023 2017 2024 100 200 300 400

Peers

Tania Nikolcheva
Maureen E. Balestra United States
Luka Kulic Switzerland
Michael T. Falduto United States
Qiongman Kong United States
Timothy Coskran United States
Tania Nikolcheva
Citations per year, relative to Tania Nikolcheva Tania Nikolcheva (= 1×) peers Caroline Van Cauwenberghe

Countries citing papers authored by Tania Nikolcheva

Since Specialization
Citations

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

Fields of papers citing papers by Tania Nikolcheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Nikolcheva

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Nikolcheva. A scholar is included among the top collaborators of Tania Nikolcheva 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 Tania Nikolcheva. Tania Nikolcheva 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.
Pagano, Gennaro, Dylan Trundell, Tanya Simuni, et al.. (2025). Time-to-event analysis mitigates the impact of symptomatic therapy on therapeutic benefit in Parkinson’s disease trials. npj Parkinson s Disease. 11(1). 193–193.
2.
Trundell, Dylan, Evan Davies, Stefano Zanigni, et al.. (2025). Estimation of and clinical consensus on the meaningful motor progression threshold on MDS-UPDRS Part III. Journal of Parkinson s Disease. 15(1). 97–110. 2 indexed citations
3.
Pagano, Gennaro, Annabelle Monnet, Benjamin Ribba, et al.. (2024). Sustained effect of prasinezumab on Parkinson’s disease motor progression in the open-label extension of the PASADENA trial. Nature Medicine. 30(12). 3669–3675. 14 indexed citations
4.
Ribba, Benjamin, Kenneth Marek, Andrew Siderowf, et al.. (2024). Modeling of Parkinson’s Disease Progression and Implications for Detection of Disease Modification in Treatment Trials. Journal of Parkinson s Disease. 14(6). 1225–1235. 3 indexed citations
5.
Zanigni, Stefano, Dylan Trundell, Annabelle Monnet, et al.. (2022). Estimating the meaningful within-patient change threshold for the MDS-UPDRS Part III (P1-1.Virtual). Neurology. 98(18_supplement). 1 indexed citations
6.
Ostrowitzki, Susanne, Robert Lasser, Ernest Dorflinger, et al.. (2017). A phase III randomized trial of gantenerumab in prodromal Alzheimer’s disease. Alzheimer s Research & Therapy. 9(1). 95–95. 411 indexed citations breakdown →
8.
Lasser, Robert, Philip Scheltens, Bruno Dubois, et al.. (2016). Efficacy, Safety and Biomarker Data from SCarlet RoAD - A Global Phase 3 Study of Gantenerumab in Patients with Prodromal AD (S1.002). Neurology. 86(16_supplement). 5 indexed citations
9.
Mattsson, Niklas, María C. Carrillo, Robert A. Dean, et al.. (2015). Revolutionizing Alzheimer's disease and clinical trials through biomarkers. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 1(4). 412–419. 69 indexed citations
10.
Scheltens, Philip, Tania Nikolcheva, Robert Lasser, et al.. (2015). DT‐01‐02: Biomarker data from scarlet road: A global phase 3 study of gantenerumab in patients with prodromal Alzheimer's disease. Alzheimer s & Dementia. 11(7S_Part_7). 7 indexed citations
11.
Nikolcheva, Tania, et al.. (2011). Challenges in the development of companion diagnostics for neuropsychiatric disorders. Expert Review of Molecular Diagnostics. 11(8). 829–837. 7 indexed citations
12.
Aaron, Shawn D., Katherine L. Vandemheen, Tim Ramsay, et al.. (2010). Multi analyte profiling and variability of inflammatory markers in blood and induced sputum in patients with stable COPD. Respiratory Research. 11(1). 41–41. 46 indexed citations
13.
Kurian, Sunil M., Dominic Borie, Jun Deng, et al.. (2010). Deconvoluting Post-Transplant Immunity: Cell Subset-Specific Mapping Reveals Pathways for Activation and Expansion of Memory T, Monocytes and B Cells. PLoS ONE. 5(10). e13358–e13358. 22 indexed citations
14.
Blackburn, Anneke C., Amy L. Roberts, Jun Wang, et al.. (2007). Genetic Mapping in Mice Identifies DMBT1 as a Candidate Modifier of Mammary Tumors and Breast Cancer Risk. American Journal Of Pathology. 170(6). 2030–2041. 33 indexed citations
15.
Adachi, Kazuhide, Zaman Mirzadeh, Masanori Sakaguchi, et al.. (2007). β-Catenin Signaling Promotes Proliferation of Progenitor Cells in the Adult Mouse Subventricular Zone. Stem Cells. 25(11). 2827–2836. 213 indexed citations
16.
Nikolcheva, Tania, Stéphane Pyronnet, Nahum Sonenberg, et al.. (2002). A translational rheostat for RFLAT-1 regulates RANTES expression in T lymphocytes. Journal of Clinical Investigation. 110(1). 119–126. 43 indexed citations
17.
Nikolcheva, Tania, Stéphane Pyronnet, Nahum Sonenberg, et al.. (2002). A translational rheostat for RFLAT-1 regulates RANTES expression in T lymphocytes. Journal of Clinical Investigation. 110(1). 119–126. 51 indexed citations
18.
Nikolcheva, Tania, Stéphane Pyronnet, Nahum Sonenberg, et al.. (2002). A translational rheostat for RFLAT-1 regulates RANTES expression in T lymphocytes. Journal of Clinical Investigation. 110(1). 119–126. 5 indexed citations
19.
Song, An, Tania Nikolcheva, & Alan M. Krensky. (2000). Transcriptional regulation of RANTES expression in T lymphocytes. Immunological Reviews. 177(1). 236–245. 76 indexed citations
20.
Nikolcheva, Tania & Sarah A. Woodson. (1999). Facilitation of Group I Splicing in Vivo: Misfolding of the Tetrahymena IVS and the Role of Ribosomal RNA Exons. Journal of Molecular Biology. 292(3). 557–567. 35 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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