Natalia Savelyeva

1.6k citations
28 papers · 835 indexed · h-index 16
Topics
Immunotherapy and Immune Responses (16 papers)vaccines and immunoinformatics approaches (8 papers)Cancer Immunotherapy and Biomarkers (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Natalia Savelyeva

27 papers receiving 815 citations

Peers

Natalia Savelyeva
Comparison fields: 5 of 74
  • Immunology 461
  • Molecular Biology 353
  • Oncology 237
  • Genetics 123
  • Pathology and Forensic Medicine 98
Replace Katy J. McCann with:
Katy J. McCann United Kingdom
Sebastian Ochsenreither Germany
Takashi Yugawa Japan
Emily Farmer United States
Tim Veldman United States
Howard Goldsweig United States
Malaya Bhattacharya‐Chatterjee United States
P. Koldovský Germany
Dorothy L. Buchhagen United States
S Yasumoto Japan
Natalia Savelyeva relative to Katy J. McCann United Kingdom Katy J. McCann's profile →
Citations per field
00.5×2.8×
Katy J. McCann · 1×
Citations per year

Countries citing papers authored by Natalia Savelyeva

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Savelyeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Savelyeva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Savelyeva. A scholar is included among the top collaborators of Natalia Savelyeva 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 Natalia Savelyeva. Natalia Savelyeva 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 0
2 11
3 7
4 26
5 41
6 17
7 8
8 21
9 90
10 57
11 73
12 49
13 12
14 6
15 18
16 89
17 11
18 4
19 64
20 22

About Natalia Savelyeva

Natalia Savelyeva is a scholar working on Immunology, Biotechnology and Periodontics, having authored 28 papers that have together received 835 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), vaccines and immunoinformatics approaches (8 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Immunology (461 citations), Otorhinolaryngology (52 citations) and Genetics (123 citations). Natalia Savelyeva has collaborated with scholars based in United Kingdom, Malaysia and Singapore. Frequent co-authors include Freda K. Stevenson, Christian H. Ottensmeier, Chuan Wang, Delin Zhu, Jason Rice, Katy J. McCann, Francesco Forconi, Graham Packham, Stephen M. Thirdborough and Gareth J. Thomas. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

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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