Nava Ehsan

509 citations
4 papers · 58 · h-index 3

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Immune responses and vaccinations
    • interferon and immune responses

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genetic Associations and Epidemiology 2
    • Genetic and phenotypic traits in livestock 1
    • Genomics and Phylogenetic Studies 1
    • Gene expression and cancer classification 1
    • RNA modifications and cancer 1

Nava Ehsan

3 papers receiving 56 citations

Peers

Nava Ehsan
Comparison fields: 5 of 33
  • Infectious Diseases 24
  • Immunology 13
  • General Decision Sciences 1
  • Molecular Biology 26
  • Genetics 10
Replace Luong Ruiz with:
Luong Ruiz United States
Aiquan Chang United States
Asher K. Haug Baltzell United States
Faye Victoria C. Casimero United States
Ksenia V. Zornikova Russia
Savely A. Sheetikov Russia
Yiyuan Xu China
John E. Gorzynski United States
Kseniya Khamina Austria
Natasha Palmalux United Kingdom
Nava Ehsan relative to Luong Ruiz United States Luong Ruiz's profile →
Citations per field
00.5×1.7×
Luong Ruiz · 1×
Citations per year

Countries citing papers authored by Nava Ehsan

Since Specialization
Citations

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

Fields of papers citing papers by Nava Ehsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nava Ehsan, 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 Nava Ehsan Line = papers co-authored together Nava Ehsan links everyone, so they are left out of the graph.

All Works

About Nava Ehsan

Nava Ehsan is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Neurology and Organic Chemistry, having authored 4 papers that have together received 58 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic Associations and Epidemiology (2 papers), Genomics and Phylogenetic Studies (1 paper), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Gene expression and cancer classification (1 paper), Genetic and phenotypic traits in livestock (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Infectious Diseases (24 citations), Immunology (13 citations), General Decision Sciences (1 citation), Molecular Biology (26 citations) and Genetics (10 citations). Nava Ehsan has collaborated with scholars based in United States and Australia. Frequent co-authors include Pejman Mohammadi, Kritika Singh, Bogdan Paşaniuc, Loïc Yengo, Lea K. Davis, Tyne W. Miller‐Fleming, Shyamalika Gopalan, Nicholas Mancuso, Renato Polimanti and Frank R. Wendt. Their work appears in journals such as Nature Communications and Nucleic Acids Research.

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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