Sergey Nechaev

547 total citations
8 papers, 397 citations indexed

About

Sergey Nechaev is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sergey Nechaev has authored 8 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Sergey Nechaev's work include RNA Interference and Gene Delivery (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and MicroRNA in disease regulation (2 papers). Sergey Nechaev is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and MicroRNA in disease regulation (2 papers). Sergey Nechaev collaborates with scholars based in United States, Poland and United Kingdom. Sergey Nechaev's co-authors include Marcin Kortylewski, Qifang Zhang, Piotr Swiderski, Dewan Md Sakib Hossain, Claudia Kowolik, Sumanta K. Pal, Andrew Raubitschek, Stephen J. Forman, Dayson Moreira and Anna Kozłowska and has published in prestigious journals such as Blood, Cancer Research and Journal of Controlled Release.

In The Last Decade

Sergey Nechaev

8 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergey Nechaev United States	7	203	189	155	90	26	8	397
Debarati Banik United States	8	271 1.3×	188 1.0×	221 1.4×	43 0.5×	14 0.5×	13	453
Dilip Kumar Singapore	8	131 0.6×	187 1.0×	70 0.5×	99 1.1×	30 1.2×	15	351
Brian J. Mog United States	6	124 0.6×	132 0.7×	169 1.1×	49 0.5×	41 1.6×	10	291
Anastasia S. Proskurina Russia	12	144 0.7×	177 0.9×	170 1.1×	93 1.0×	11 0.4×	62	388
Ran Yan United States	6	145 0.7×	131 0.7×	173 1.1×	72 0.8×	21 0.8×	8	378
Guillermo O. Rangel Rivera United States	10	117 0.6×	169 0.9×	185 1.2×	46 0.5×	26 1.0×	18	337
Chiara Falcomatà Germany	7	121 0.6×	97 0.5×	166 1.1×	56 0.6×	22 0.8×	12	279
Alexandra L. Pourzia United States	2	194 1.0×	290 1.5×	191 1.2×	43 0.5×	37 1.4×	3	442
Felix L. Fennemann Netherlands	5	118 0.6×	225 1.2×	157 1.0×	50 0.6×	41 1.6×	7	355
Filippo Cortesi Italy	10	151 0.7×	174 0.9×	171 1.1×	51 0.6×	30 1.2×	13	397

Countries citing papers authored by Sergey Nechaev

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Nechaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Nechaev

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

All Works

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8 of 8 papers shown

1.

Adamus, Tomasz, Elaine Kang, Mohamed Hammad, et al.. (2021). Glioma-targeted delivery of exosome-encapsulated antisense oligonucleotides using neural stem cells. Molecular Therapy — Nucleic Acids. 27. 611–620. 64 indexed citations

2.

Nechaev, Sergey, Elena V. Bichenkova, Richard A. Bryce, et al.. (2017). Non-enzymatic recombination of RNA: Ligation in loops. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(3). 705–725. 6 indexed citations

3.

Zhang, Qifang, Dewan Md Sakib Hossain, Priyanka Duttagupta, et al.. (2016). Serum-resistant CpG-STAT3 decoy for targeting survival and immune checkpoint signaling in acute myeloid leukemia. Blood. 127(13). 1687–1700. 66 indexed citations

4.

Hossain, Dewan Md Sakib, Dayson Moreira, Qifang Zhang, et al.. (2015). TLR9-Targeted SiRNA Delivery In Vivo. Methods in molecular biology. 1364. 183–196. 6 indexed citations

5.

Moreira, Dayson, Qifang Zhang, Dewan Md Sakib Hossain, et al.. (2015). TLR9 signaling through NF-κB/RELA and STAT3 promotes tumor-propagating potential of prostate cancer cells. Oncotarget. 6(19). 17302–17313. 53 indexed citations

6.

Nechaev, Sergey, Chan Gao, Dayson Moreira, et al.. (2013). Intracellular processing of immunostimulatory CpG–siRNA: Toll-like receptor 9 facilitates siRNA dicing and endosomal escape. Journal of Controlled Release. 170(3). 307–315. 42 indexed citations

7.

Gao, Chan, Anna Kozłowska, Sergey Nechaev, et al.. (2013). TLR9 Signaling in the Tumor Microenvironment Initiates Cancer Recurrence after Radiotherapy. Cancer Research. 73(24). 7211–7221. 74 indexed citations

8.

Zhang, Qifang, Dewan Md Sakib Hossain, Sergey Nechaev, et al.. (2013). TLR9-mediated siRNA delivery for targeting of normal and malignant human hematopoietic cells in vivo. Blood. 121(8). 1304–1315. 86 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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