С. В. Козлов

5.3k total citations · 1 hit paper
85 papers, 3.1k citations indexed

About

С. В. Козлов is a scholar working on Molecular Biology, Oncology and Management of Technology and Innovation. According to data from OpenAlex, С. В. Козлов has authored 85 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Management of Technology and Innovation. Recurrent topics in С. В. Козлов's work include Economic and Technological Systems Analysis (8 papers), Nuclear Structure and Function (6 papers) and Epigenetics and DNA Methylation (6 papers). С. В. Козлов is often cited by papers focused on Economic and Technological Systems Analysis (8 papers), Nuclear Structure and Function (6 papers) and Epigenetics and DNA Methylation (6 papers). С. В. Козлов collaborates with scholars based in United States, Russia and Ukraine. С. В. Козлов's co-authors include Colin L. Stewart, Leslie C. Mounkes, Brian Burke, Lídia Hernandez, Tomoko Ishibashi, Beth Stevens, Philip R. Lee, R. Douglas Fields, Teresa Sullivan and Kyle J. Roux and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

С. В. Козлов

68 papers receiving 3.1k 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.

Astrocytes Promote Myelination in Response to Electrical Impulses

2006 522 citations С. В. Козлов, Colin L. Stewart et al. profile →

Peers

С. В. Козлов

MB

CMN

GENET

CB

DN

Hui Zong United States

Go Shioi Japan

Jie Bu United States

Mitsuyo Maeda Japan

Theo Mantamadiotis Australia

Ralf S. Schmid United States

Jiang Wu United States

Naihe Jing China

Anna Johnsson Sweden

Hui Zong United States

С. В. Козлов

2.1k ×1.1

MB

442 ×1.1

CMN

325 ×0.8

GENET

304 ×0.8

CB

541 ×1.5

DN

Citations per year, relative to С. В. Козлов С. В. Козлов (= 1×) peers Hui Zong

Countries citing papers authored by С. В. Козлов

Since Specialization

Citations

This map shows the geographic impact of С. В. Козлов'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. Козлов 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. Козлов more than expected).

Fields of papers citing papers by С. В. Козлов

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

1.

Dey, Souvik, James B. DuHadaway, Erika Sutanto‐Ward, et al.. (2025). Neovascular pruning by IDO1 inhibitors can potentiate immunogenic cytotoxicity of ischemia-targeted agents to synergistically enhance anti-PD-1 responsiveness. Journal for ImmunoTherapy of Cancer. 13(5). e011398–e011398. 1 indexed citations

2.

Козлов, С. В., et al.. (2025). Phase II study of olaparib in patients with advanced pancreatic acinar cell carcinoma.. Journal of Clinical Oncology. 43(4_suppl). 1 indexed citations

3.

Alam, Muhammad S., Matthias M. Gaida, Hagen Roland Witzel, et al.. (2024). TNFR1 signaling promotes pancreatic tumor growth by limiting dendritic cell number and function. Cell Reports Medicine. 5(9). 101696–101696. 11 indexed citations

4.

Козлов, С. В., et al.. (2024). Forensic characteristics of injuries from thermo-baric explosive device. 30(2). 24–30.

5.

Козлов, С. В., et al.. (2023). Сhanges of trace elements in the cerebellum and their influence on the rats behavior in elevated plus maze in the acute period of mild blast-induced brain injury. Journal of Trace Elements in Medicine and Biology. 78. 127189–127189. 2 indexed citations

6.

Козлов, С. В., et al.. (2022). Evaluation of behavior components in the elevated plus maze after the action of external and internal factors. 91(1). 5–12. 2 indexed citations

7.

Ivanova, Mariia, et al.. (2022). Analysis of color properties of raster images of histological microspecimens: own research experience. SHILAP Revista de lepidopterología. 27(1). 9–15. 4 indexed citations

8.

Козлов, С. В., et al.. (2021). Pathomorphological markers of blast-induced brain injury. 15(3). 96–100. 2 indexed citations

9.

Mukhopadhyay, Suman, Debanjan Goswami, Pavan P. Adiseshaiah, et al.. (2020). Undermining Glutaminolysis Bolsters Chemotherapy While NRF2 Promotes Chemoresistance in KRAS-Driven Pancreatic Cancers. Cancer Research. 80(8). 1630–1643. 193 indexed citations

10.

Kozlov, Sergey V., et al.. (2018). NON-INVASIVE TECHNIQUES FOR DIAGNOSTICS OF SKIN NEOPLASMS. 18. 146–151.

11.

Козлов, С. В., et al.. (2018). Anatomical Variants of Uterine Arteries. Ukraïnsʹkij žurnal medicini bìologìï ta sportu. 3(4). 32–37. 4 indexed citations

12.

Козлов, С. В., et al.. (2017). Pathomorphological aspects of explosive injury (comparative characteristics of damage mines OZM-72 and MON 50). 102–106. 2 indexed citations

13.

Козлов, С. В., et al.. (2016). Forensic characterization of blast injury caused by shrapnel grenade F-1. 78–80. 3 indexed citations

14.

Zakharov, Valery P., Kirill V. Larin, С. В. Козлов, et al.. (2013). Raman spectroscopy diagnosis of skin tumor. SHILAP Revista de lepidopterología. 16(3). 73–78. 2 indexed citations

15.

Ohler, Zoë Weaver, Simone Difilippantonio, Julián Carretero, et al.. (2012). Temporal Molecular and Biological Assessment of an Erlotinib-Resistant Lung Adenocarcinoma Model Reveals Markers of Tumor Progression and Treatment Response. Cancer Research. 72(22). 5921–5933. 31 indexed citations

16.

Li, Songlin, Diana Katsman, С. В. Козлов, et al.. (2010). An age-related sprouting transcriptome provides molecular control of axonal sprouting after stroke. Nature Neuroscience. 13(12). 1496–1504. 267 indexed citations

17.

Козлов, С. В., James W. Bogenpohl, Rachel Wevrick, et al.. (2007). The imprinted gene Magel2 regulates normal circadian output. Nature Genetics. 39(10). 1266–1272. 161 indexed citations

18.

Botos, Istvan, Edward E. Melnikov, Scott Cherry, et al.. (2005). Atomic-resolution Crystal Structure of the Proteolytic Domain of Archaeoglobus fulgidus Lon Reveals the Conformational Variability in the Active Sites of Lon Proteases. Journal of Molecular Biology. 351(1). 144–157. 43 indexed citations

19.

Mounkes, Leslie C., С. В. Козлов, Lídia Hernandez, Teresa Sullivan, & Colin L. Stewart. (2003). A progeroid syndrome in mice is caused by defects in A-type lamins. Nature. 423(6937). 298–301. 294 indexed citations

20.

Álvarez‐Dolado, Manuel, Angélica Figueroa, С. В. Козлов, et al.. (2001). Thyroid hormone regulates TAG‐1 expression in the developing rat brain. European Journal of Neuroscience. 14(8). 1209–1218. 28 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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