С. В. Тиллиб

3.4k total citations · 1 hit paper
65 papers, 2.7k citations indexed

About

С. В. Тиллиб is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, С. В. Тиллиб has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 34 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Immunology. Recurrent topics in С. В. Тиллиб's work include Monoclonal and Polyclonal Antibodies Research (34 papers), Glycosylation and Glycoproteins Research (15 papers) and Protein purification and stability (9 papers). С. В. Тиллиб is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (34 papers), Glycosylation and Glycoproteins Research (15 papers) and Protein purification and stability (9 papers). С. В. Тиллиб collaborates with scholars based in Russia, United States and Germany. С. В. Тиллиб's co-authors include Alexander Mazo, Yurii Sedkov, Serge Muyldermans, Ulrich Rothbauer, Heinrich Leonhardt, Eli Canaani, Svetlana Petruk, Carlo M. Croce, M. Cristina Cardoso and Natalija Backmann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

С. В. Тиллиб

63 papers receiving 2.7k citations

Hit Papers

Targeting and tracing antigens in live cells with fluores... 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Targeting and tracing antigens in live cells with fluorescent nanobodies
    2006 544 citations Ulrich Rothbauer, Kourosh Zolghadr et al. Nature Methods profile →

Peers

С. В. Тиллиб
William D. Huse United States
Yi Shi United States
John McCafferty United Kingdom
Robert B. DuBridge United States
Catharina Steentoft Denmark
Tristan J. Vaughan United Kingdom
Maximilian W. Popp United States
Anthony H. Keeble United Kingdom
Thomas Schirrmann Germany
Gabrielle Zeder‐Lutz France
William D. Huse United States
С. В. Тиллиб
Citations per year, relative to С. В. Тиллиб С. В. Тиллиб (= 1×) peers William D. Huse

Countries citing papers authored by С. В. Тиллиб

Since Specialization
Citations

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

Fields of papers citing papers by С. В. Тиллиб

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. В. Тиллиб. 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 С. В. Тиллиб. The network helps show where С. В. Тиллиб may publish in the future.

Co-authorship network of co-authors of С. В. Тиллиб

This figure shows the co-authorship network connecting the top 25 collaborators of С. В. Тиллиб. A scholar is included among the top collaborators of С. В. Тиллиб 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 С. В. Тиллиб. С. В. Тиллиб 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.
Иванова, Т. И., et al.. (2024). Anti-Idiotypic Nanobodies Mimicking an Epitope of the Needle Protein of the Chlamydial Type III Secretion System for Targeted Immune Stimulation. International Journal of Molecular Sciences. 25(4). 2047–2047. 1 indexed citations
2.
3.
Eremin, Sergei A., et al.. (2022). Fluorescence Polarization Immunoassay of Human Lactoferrin in Milk Using Small Single-Domain Antibodies. Biochemistry (Moscow). 87(12-13). 1679–1688. 6 indexed citations
4.
Тиллиб, С. В., et al.. (2022). High-Affinity Single-Domain Antibodies for Analyzing Human Apo- and Holo-Transferrin. PubMed. 14(2). 98–102. 2 indexed citations
5.
Иванова, Т. И., Margarete Focke‐Tejkl, Anja Drescher, et al.. (2021). Isolation of nanobodies with potential to reduce patients' IgE binding to Bet v 1. Allergy. 77(6). 1751–1760. 9 indexed citations
6.
Тиллиб, С. В.. (2020). Перспективы использования однодоменных антител в биомедицине. Молекулярная биология. 54(3). 362–373. 11 indexed citations
7.
Flicker, Sabine, et al.. (2020). Nanobodies—Useful Tools for Allergy Treatment?. Frontiers in Immunology. 11. 576255–576255. 16 indexed citations
8.
9.
Drutskaya, Marina S., Grigory A. Efimov, Dmitriy M. Chudakov, et al.. (2014). Experimental models of arthritis in which pathogenesis is dependent on TNF expression. Biochemistry (Moscow). 79(12). 1349–1357. 13 indexed citations
10.
Gol’dman, I. L., et al.. (2011). New opportunities of using transgenic milk animals for pharmaceutical human protein production. Transgenic Research. 21(4). 923–923. 2 indexed citations
11.
Тиллиб, С. В.. (2011). “Camel nanoantibody” is an efficient tool for research, diagnostics and therapy. Molecular Biology. 45(1). 66–73. 44 indexed citations
12.
Тиллиб, С. В., et al.. (2008). A new approach to study cellular components associated with a certain protein. Doklady Biochemistry and Biophysics. 421(1). 235–238. 2 indexed citations
13.
Тиллиб, С. В., et al.. (2007). S/MAR and TRE can be found co-localized within regulatory chromosome regions of some tissue-specifically expressed genes of Drosophila melanogaster. Doklady Biochemistry and Biophysics. 416(1). 264–267. 1 indexed citations
14.
Rothbauer, Ulrich, Kourosh Zolghadr, С. В. Тиллиб, et al.. (2006). Targeting and tracing antigens in live cells with fluorescent nanobodies. Nature Methods. 3(11). 887–889. 544 indexed citations breakdown →
15.
Petruk, Svetlana, Yurii Sedkov, Sheryl T. Smith, et al.. (2001). Trithorax and dCBP Acting in a Complex to Maintain Expression of a Homeotic Gene. Science. 294(5545). 1331–1334. 164 indexed citations
16.
Тиллиб, С. В., et al.. (2001). Integration of Multiple PCR Amplifications and DNA Mutation Analyses by Using Oligonucleotide Microchip. Analytical Biochemistry. 292(1). 155–160. 39 indexed citations
17.
Тиллиб, С. В. & A.D. Mirzabekov. (2001). Advances in the analysis of DNA sequence variations using oligonucleotide microchip technology. Current Opinion in Biotechnology. 12(1). 53–58. 69 indexed citations
18.
Rozovskaia, Tanya, С. В. Тиллиб, Sheryl T. Smith, et al.. (1999). Trithorax and ASH1 Interact Directly and Associate with the Trithorax Group-Responsive bxd Region of the Ultrabithorax Promoter. Molecular and Cellular Biology. 19(9). 6441–6447. 62 indexed citations
19.
Sedkov, Yurii, Judith Benes, Joseph R. Berger, et al.. (1999). Molecular genetic analysis of the Drosophila trithorax-related gene which encodes a novel SET domain protein. Mechanisms of Development. 82(1-2). 171–179. 34 indexed citations
20.
Fujioka, Miki, Galina L. Yusibova, С. В. Тиллиб, et al.. (1996). Runt domain partner proteins enhance DNA binding and transcriptional repression in cultured Drosophila cells. Genes to Cells. 1(8). 741–754. 6 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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