Dmitri Lodygin

4.1k total citations · 3 hit papers
15 papers, 3.1k citations indexed

About

Dmitri Lodygin is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Dmitri Lodygin has authored 15 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Neurology. Recurrent topics in Dmitri Lodygin's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Ubiquitin and proteasome pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Dmitri Lodygin is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Ubiquitin and proteasome pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Dmitri Lodygin collaborates with scholars based in Germany, Switzerland and Canada. Dmitri Lodygin's co-authors include Heiko Hermeking, Alexey Epanchintsev, Valery Tarasov, Berlinda Verdoodt, Peter Jung, Antje Menssen, Henrike Körner, Gunter Meister, Joachim Diebold and Tatjana Knyazeva and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Dmitri Lodygin

13 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

Differential Regulation of microRNAs by p53 Revealed by Massively Parallel Sequencing: miR-34a is a p53 Target That Induces Apoptosis and G1-arrest

2007 780 citations Valery Tarasov, Peter Jung et al. Cell Cycle profile →
Inactivation of miR-34a by aberrant CpG methylation in multiple types of cancer

2008 642 citations Dmitri Lodygin, Valery Tarasov et al. Cell Cycle profile →
IL-6R/STAT3/miR-34a feedback loop promotes EMT-mediated colorectal cancer invasion and metastasis

2014 626 citations Matjaž Rokavec, Meryem Gülfem Öner et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitri Lodygin Germany	12	1.9k	1.5k	608	555	368	15	3.1k
Miguel F. Segura Spain	31	2.9k 1.5×	1.6k 1.0×	609 1.0×	389 0.7×	74 0.2×	81	3.7k
Anne Wierinckx France	31	1.3k 0.7×	572 0.4×	603 1.0×	433 0.8×	203 0.6×	55	2.9k
Lluı́s Espinosa Spain	32	2.7k 1.4×	817 0.5×	778 1.3×	743 1.3×	75 0.2×	85	4.0k
Pierre de la Grange France	34	2.2k 1.2×	630 0.4×	462 0.8×	333 0.6×	83 0.2×	93	3.2k
Krystyna Mazan-Mamczarz United States	32	3.1k 1.6×	761 0.5×	365 0.6×	364 0.7×	73 0.2×	58	3.7k
Fred E. Indig United States	31	2.5k 1.3×	542 0.4×	535 0.9×	379 0.7×	239 0.6×	55	3.5k
Lin Cheng China	25	1.9k 1.0×	784 0.5×	990 1.6×	465 0.8×	139 0.4×	75	3.4k
Kevin Kelnar United States	18	4.5k 2.4×	4.1k 2.7×	809 1.3×	394 0.7×	96 0.3×	27	5.7k
Liyin Zhu United States	17	1.1k 0.6×	447 0.3×	1.0k 1.7×	1.6k 3.0×	603 1.6×	21	3.3k
Maj Hedtjärn Sweden	16	2.5k 1.3×	1.7k 1.1×	110 0.2×	498 0.9×	288 0.8×	17	3.5k

Countries citing papers authored by Dmitri Lodygin

Since Specialization

Citations

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

Fields of papers citing papers by Dmitri Lodygin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitri Lodygin

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

All Works

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15 of 15 papers shown

Raasakka, Arne, Marcel Schröder, Shama Sograte‐Idrissi, et al.. (2024). Nanobodies against the myelin enzyme CNPase as tools for structural and functional studies. Journal of Neurochemistry. 169(1). e16274–e16274.

Lodygin, Dmitri, et al.. (2023). In Vivo and In Vitro Evidence for an Interplay between the Glucocorticoid Receptor and the Vitamin D Receptor Signaling. Cells. 12(18). 2291–2291.

Lodygin, Dmitri, Nils Schweingruber, Cassandra Flügel‐Koch, et al.. (2019). β-Synuclein-reactive T cells induce autoimmune CNS grey matter degeneration. Nature. 566(7745). 503–508. 96 indexed citations

Lühder, Fred, Hania Kébir, Francesca Odoardi, et al.. (2017). Laquinimod enhances central nervous system barrier functions. Neurobiology of Disease. 102. 60–69. 15 indexed citations

Schläger, Christian, Henrike Körner, Martin Krueger, et al.. (2016). Effector T-cell trafficking between the leptomeninges and the cerebrospinal fluid. Nature. 530(7590). 349–353. 288 indexed citations

Lodygin, Dmitri & Alexander Flügel. (2016). Intravital real-time analysis of T-cell activation in health and disease. Cell Calcium. 64. 118–129. 20 indexed citations

Winter, Markus, Dmitri Lodygin, Berlinda Verdoodt, & Heiko Hermeking. (2016). Deletion of 14-3-3σ sensitizes mice to DMBA/TPA-induced papillomatosis. Oncotarget. 7(30). 46862–46870. 10 indexed citations

Rokavec, Matjaž, Meryem Gülfem Öner, Huihui Li, et al.. (2014). IL-6R/STAT3/miR-34a feedback loop promotes EMT-mediated colorectal cancer invasion and metastasis. Journal of Clinical Investigation. 124(4). 1853–1867. 626 indexed citations breakdown →

Lodygin, Dmitri, Francesca Odoardi, Christian Schläger, et al.. (2013). A combination of fluorescent NFAT and H2B sensors uncovers dynamics of T cell activation in real time during CNS autoimmunity. Nature Medicine. 19(6). 784–790. 103 indexed citations

10.

Odoardi, Francesca, Christopher Sie, Vijay K. Ulaganathan, et al.. (2012). T cells become licensed in the lung to enter the central nervous system. Nature. 488(7413). 675–679. 326 indexed citations

11.

Lodygin, Dmitri, Valery Tarasov, Alexey Epanchintsev, et al.. (2008). Inactivation of miR-34a by aberrant CpG methylation in multiple types of cancer. Cell Cycle. 7(16). 2591–2600. 642 indexed citations breakdown →

12.

Menssen, Antje, Alexey Epanchintsev, Dmitri Lodygin, et al.. (2007). c-MYC Delays Prometaphase by Direct Transactivation of MAD2 and BubR1: Identification of Mechanisms Underlying c-MYC-Induced DNA Damage and Chromosomal Instability. Cell Cycle. 6(3). 339–352. 76 indexed citations

13.

Tarasov, Valery, Peter Jung, Berlinda Verdoodt, et al.. (2007). Differential Regulation of microRNAs by p53 Revealed by Massively Parallel Sequencing: miR-34a is a p53 Target That Induces Apoptosis and G1-arrest. Cell Cycle. 6(13). 1586–1593. 780 indexed citations breakdown →

14.

Lodygin, Dmitri & Heiko Hermeking. (2006). Epigenetic silencing of 14-3-3sigma in cancer. Seminars in Cancer Biology. 16(3). 214–224. 52 indexed citations

15.

Lodygin, Dmitri & Heiko Hermeking. (2005). The role of epigenetic inactivation of 14-3-3σ in human cancer. Cell Research. 15(4). 237–246. 63 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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