Е. В. Моисеева

464 total citations
30 papers, 362 citations indexed

About

Е. В. Моисеева is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Е. В. Моисеева has authored 30 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Oncology. Recurrent topics in Е. В. Моисеева's work include Glycosylation and Glycoproteins Research (11 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Е. В. Моисеева is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Е. В. Моисеева collaborates with scholars based in Russia, France and Netherlands. Е. В. Моисеева's co-authors include Nicolai V. Bovin, Е. Л. Водовозова, Jul. G. Molotkovsky, Willem Den Otter, Н. Э. Нифантьев, Jan Willem Koten, Gerrit Jan Hordijk, Jan J. Battermann, John J. L. Jacobs and Galina V. Pazynina and has published in prestigious journals such as European Journal of Cancer, International Journal of Nanomedicine and Breast Cancer Research and Treatment.

In The Last Decade

Е. В. Моисеева

30 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Е. В. Моисеева Russia 10 178 111 70 59 43 30 362
Tomofumi Kurokawa Japan 11 154 0.9× 141 1.3× 60 0.9× 46 0.8× 32 0.7× 21 412
Jieying Qian China 14 227 1.3× 57 0.5× 63 0.9× 80 1.4× 18 0.4× 28 504
Neelesh Soman United States 9 236 1.3× 57 0.5× 50 0.7× 79 1.3× 24 0.6× 12 570
Emad I. Wafa United States 13 171 1.0× 107 1.0× 87 1.2× 94 1.6× 65 1.5× 19 404
Edina Wang Australia 8 270 1.5× 45 0.4× 81 1.2× 44 0.7× 20 0.5× 14 453
Chien-Han Kao Taiwan 15 296 1.7× 36 0.3× 50 0.7× 98 1.7× 55 1.3× 28 496
Seon-Hee Kim South Korea 11 273 1.5× 149 1.3× 164 2.3× 33 0.6× 76 1.8× 25 488
Shani Leviatan Ben‐Arye Israel 13 373 2.1× 142 1.3× 33 0.5× 46 0.8× 90 2.1× 24 534
Lyudmila V. Savvateeva Russia 13 229 1.3× 101 0.9× 108 1.5× 49 0.8× 10 0.2× 32 499
Susan Morey United States 7 207 1.2× 154 1.4× 80 1.1× 27 0.5× 61 1.4× 10 359

Countries citing papers authored by Е. В. Моисеева

Since Specialization
Citations

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

Fields of papers citing papers by Е. В. Моисеева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. В. Моисеева

This figure shows the co-authorship network connecting the top 25 collaborators of Е. В. Моисеева. A scholar is included among the top collaborators of Е. В. Моисеева 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 Е. В. Моисеева. Е. В. Моисеева 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.
Моисеева, Е. В.. (2023). The Logic of NIMBYism: Class, Race, and Stigma in the Making of California’s Legal Cannabis Market. Law & Social Inquiry. 49(2). 1107–1137. 2 indexed citations
2.
Моисеева, Е. В., et al.. (2020). Features of the Proteasome Pool in Spontaneously Occurring Malignant Tumors of the Mammary Gland in Mice. Russian Journal of Developmental Biology. 51(5). 317–322. 3 indexed citations
3.
Rapoport, E. M., Е. В. Моисеева, С. В. Хайдуков, et al.. (2019). Glycan-binding profile of DC-like cells. Glycoconjugate Journal. 37(1). 129–138. 3 indexed citations
4.
Моисеева, Е. В., et al.. (2019). Imbalances in cellular immunological parameters in blood predetermine tumor onset in a natural mouse model of breast cancer. Cancer Immunology Immunotherapy. 68(5). 721–729. 2 indexed citations
5.
Моисеева, Е. В., et al.. (2018). Local Interleukin-2 Immunotherapy of Breast Cancer: Benefit and Risk in a Spontaneous Mouse Model. Pathology & Oncology Research. 25(3). 945–951. 5 indexed citations
6.
Alekseeva, Anna, Е. В. Моисеева, Natalia Onishchenko, et al.. (2017). Liposomal formulation of a methotrexate lipophilic prodrug: assessment in tumor cells and mouse T-cell leukemic lymphoma. International Journal of Nanomedicine. Volume 12. 3735–3749. 29 indexed citations
7.
Моисеева, Е. В., et al.. (2017). PROGNOSTIC VALUE OF IMMUNOLOGICAL BLOOD PARAMETERS IN THE MOUSE MODEL OF FAMILIAL BREAST CANCER. Современные проблемы науки и образования (Modern Problems of Science and Education). 1 indexed citations
8.
Моисеева, Е. В., et al.. (2015). Efficiency of Recombinant Thymosin β4 in Spontaneous Mouse Model of Chronic Dermatitis. Bulletin of Experimental Biology and Medicine. 158(5). 670–672. 1 indexed citations
9.
Boldyrev, Ivan, Е. В. Моисеева, Todor Deligeorgiev, et al.. (2011). Europium complexes of 1,10-phenanthrolines: Their inclusion in liposomes and cytotoxicity. Russian Journal of Bioorganic Chemistry. 37(3). 364–368. 8 indexed citations
10.
Моисеева, Е. В.. (2009). Anti-Breast Cancer Drug Testing. 1 indexed citations
11.
Rapoport, E. M., Е. В. Моисеева, Elena Korchagina, et al.. (2009). Glycoprobes as a tool for the study of lectins expressed on tumor cells. Acta Histochemica. 112(2). 118–126. 8 indexed citations
12.
Otter, Willem Den, John J. L. Jacobs, Jan J. Battermann, et al.. (2008). Local therapy of cancer with free IL-2. Cancer Immunology Immunotherapy. 57(7). 931–950. 62 indexed citations
13.
Моисеева, Е. В., et al.. (2008). Evaluation of antitumor activity of peptide extracts from medicinal plants on the model of transplanted breast cancer in CBRB-Rb(8.17)1Iem mice. Bulletin of Experimental Biology and Medicine. 145(4). 464–466. 13 indexed citations
14.
Моисеева, Е. В., et al.. (2006). Antitumor effect of double immunization of mice with mucin 1 and its coding DNA.. PubMed. 25(6B). 3893–8. 12 indexed citations
15.
Gambaryan, Alexandra, Tatyana Matrosovich, Mikhail Matrosovich, et al.. (2005). Polymer-bound 6′ sialyl-N-acetyllactosamine protects mice infected by influenza virus. Antiviral Research. 68(3). 116–123. 43 indexed citations
16.
Моисеева, Е. В., E. M. Rapoport, Nicolai V. Bovin, et al.. (2005). Galectins as markers of aggressiveness of mouse mammary carcinoma: towards a lectin target therapy of human breast cancer. Breast Cancer Research and Treatment. 91(3). 227–241. 20 indexed citations
17.
Blishchenko, Elena Yu., et al.. (2005). Antitumor effect of valorphin in vitro and in vivo: Combined action with cytostatic drugs. Cancer Biology & Therapy. 4(1). 125–131. 27 indexed citations
18.
Rapoport, E. M., Е. В. Моисеева, Uwe Karsten, et al.. (2003). Involvement of the Galβ1 – 3GalNAcβ structure in the recognition of apoptotic bodies by THP-1 cells. European Journal of Cell Biology. 82(6). 295–302. 12 indexed citations
19.
Водовозова, Е. Л., et al.. (2000). Antitumour activity of cytotoxic liposomes equipped with selectin ligand SiaLeX, in a mouse mammary adenocarcinoma model. European Journal of Cancer. 36(7). 942–949. 65 indexed citations
20.
Svirshchevskaya, E. V., et al.. (1998). Immunostimulatory Activity of Milife, A Novel Immunomodulator of Fungus Origin. Immunopharmacology and Immunotoxicology. 20(1). 119–133. 1 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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