N. Pshenichnaya

2.4k citations
64 papers · 441 indexed · h-index 10
Topics
COVID-19 Clinical Research Studies (11 papers)Viral Infections and Vectors (11 papers)Respiratory viral infections research (8 papers)

In The Last Decade

N. Pshenichnaya

43 papers receiving 419 citations

Peers

N. Pshenichnaya
Comparison fields: 5 of 82
  • Infectious Diseases 320
  • Public Health, Environmental and Occupational Health 162
  • Ecology, Evolution, Behavior and Systematics 102
  • Parasitology 61
  • Epidemiology 57
Replace Jeong Rae Yoo with:
Jeong Rae Yoo South Korea
Zeliha Koçak Tufan Türkiye
Salah Al-Awaidy Oman
Victor Omballa Kenya
Tomoe Shimada Japan
Gayeon Kim South Korea
Émilie Javelle France
Marta Arsuaga Spain
Ilija Kuzman Croatia
Gül Ruhsar YILMAZ Türkiye
N. Pshenichnaya relative to Jeong Rae Yoo South Korea Jeong Rae Yoo's profile →
Citations per field
00.5×1.5×2.1×
Jeong Rae Yoo · 1×
Citations per year

Countries citing papers authored by N. Pshenichnaya

Since Specialization
Citations

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

Fields of papers citing papers by N. Pshenichnaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Pshenichnaya

This figure shows the co-authorship network connecting the top 25 collaborators of N. Pshenichnaya. A scholar is included among the top collaborators of N. Pshenichnaya 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 N. Pshenichnaya. N. Pshenichnaya 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 0
3 0
4 0
5 1
6 0
7 0
8 1
9 0
10 0
11 0
12 0
13 1
14 1
15 9
16 13
17 1
18 8
19 1
20 9

About N. Pshenichnaya

N. Pshenichnaya is a scholar working on Infectious Diseases, Modeling and Simulation and Parasitology, having authored 64 papers that have together received 441 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Viral Infections and Vectors (11 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Infectious Diseases (320 citations), Parasitology (61 citations) and Public Health, Environmental and Occupational Health (162 citations). N. Pshenichnaya has collaborated with scholars based in Russia, United States and Kazakhstan. Frequent co-authors include Roger Hewson, Hakan Leblebicioğlu, Seif Al-Abri, Ehsan Mostafavi, Mehdi Fazlalipour, Eskild Petersen, Tran M Nguyen, Peter Mala, Ziad A. Memish and Rosanna Jeffries. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and International Journal of Environmental Research and Public Health.

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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