Nadezhda E. Yun

1.6k citations
26 papers · 1.2k · h-index 18

Impact in

Papers in

Nadezhda E. Yun

25 papers receiving 1.1k citations

Peers

Nadezhda E. Yun
Comparison fields: 5 of 63
  • Infectious Diseases 838
  • Emergency Medical Services 85
  • Public Health, Environmental and Occupational Health 296
  • Epidemiology 261
  • Immunology 155
Replace Nirupama Mulherkar with:
Nirupama Mulherkar United States
Sven Møller-Tank United States
Jillian M. Rojek United States
Andrew S. Kondratowicz United States
Eugene V. Ravkov United States
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Bettina Hartlieb Germany
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Nadezhda E. Yun relative to Nirupama Mulherkar United States Nirupama Mulherkar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nadezhda E. Yun

Since Specialization
Citations

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

Fields of papers citing papers by Nadezhda E. Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadezhda E. Yun. 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 Nadezhda E. Yun. The network helps show where Nadezhda E. Yun may publish in the future.

Co-authors

The 25 scholars most cited alongside Nadezhda E. Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nadezhda E. Yun Line = papers co-authored together Nadezhda E. Yun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 2012146
3 201089
4 201065
5 200662
6 201561
7 200756
8 200856
9 201348
10 201246
11 200943
12 200841
13 200836
14 201536
15 201535
16 201333
17 201724
18 201020
19 201417
20 200716

About Nadezhda E. Yun

Nadezhda E. Yun is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (18 papers), Viral Infections and Vectors (12 papers), Mosquito-borne diseases and control (8 papers), Viral gastroenteritis research and epidemiology (5 papers), Vector-Borne Animal Diseases (2 papers), Influenza Virus Research Studies (2 papers), Vector-borne infectious diseases (2 papers) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Infectious Diseases (838 citations), Emergency Medical Services (85 citations), Public Health, Environmental and Occupational Health (296 citations), Epidemiology (261 citations) and Immunology (155 citations). Nadezhda E. Yun has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Slobodan Paessler, David H. Walker, Alexey Seregin, Jeanon N. Smith, Aida G. Walker, Juan Carlos de la Torre, Allison Poussard, Michele A. Zacks, Cheng Huang and Natallia Dziuba. Their work appears in journals such as Journal of Virology, Virology, American Journal of Tropical Medicine and Hygiene, Vaccine and Frontiers in Cellular and Infection Microbiology.

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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