Е. В. Моисеева

464 citations
30 papers · 362 indexed · h-index 10
Topics
Glycosylation and Glycoproteins Research (11 papers)Immunotherapy and Immune Responses (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
Partner nations
RussiaFranceNetherlands

In The Last Decade

Е. В. Моисеева

30 papers receiving 358 citations

Peers

Е. В. Моисеева
Comparison fields: 5 of 80
  • Molecular Biology 178
  • Immunology 111
  • Oncology 70
  • Biomaterials 59
  • Organic Chemistry 43
Replace Tomofumi Kurokawa with:
Tomofumi Kurokawa Japan
Lyudmila V. Savvateeva Russia
Edina Wang Australia
Ayako Kurimoto Japan
Midori Kitazoe Japan
Edward Cedrone United States
Ichiro Azuma Japan
Dmitry Genkin Russia
Marina Ripamonti Italy
Susan Morey United States
Е. В. Моисеева relative to Tomofumi Kurokawa Japan Tomofumi Kurokawa's profile →
Citations per field
00.5×2.8×
Tomofumi Kurokawa · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 3
3 3
4 2
5 5
6 29
7 1
8 1
9 8
10
Anti-Breast Cancer Drug Testing
1
11 8
12 62
13 13
14
Antitumor effect of double immunization of mice with mucin 1 and its coding DNA.
12
15 43
16 20
17 27
18 12
19 65
20 1

About Е. В. Моисеева

Е. В. Моисеева is a scholar working on Immunology, Biotechnology and Oncology, having authored 30 papers that have together received 362 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (111 citations), Biomaterials (59 citations) and Biotechnology (28 citations). Е. В. Моисеева has collaborated with scholars based in Russia, France and Netherlands. Frequent 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. Their work appears in journals such as European Journal of Cancer, International Journal of Nanomedicine and Breast Cancer Research and Treatment.

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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