Julianna Han

1.8k total citations
26 papers, 519 citations indexed

About

Julianna Han is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Julianna Han has authored 26 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 12 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Julianna Han's work include Influenza Virus Research Studies (20 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and interferon and immune responses (5 papers). Julianna Han is often cited by papers focused on Influenza Virus Research Studies (20 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and interferon and immune responses (5 papers). Julianna Han collaborates with scholars based in United States, Austria and Denmark. Julianna Han's co-authors include Balaji Manicassamy, Jasmine T. Perez, Matheswaran Kandasamy, Yan Li, Cindy Chen, Yoontae Lee, Benjamin R. tenOever, Asiel A. Benitez, Jorge Andrade and Andrew B. Ward and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Julianna Han

21 papers receiving 512 citations

Peers

Julianna Han
Comparison fields: 5 of 56
  • Epidemiology 276
  • Molecular Biology 249
  • Immunology 197
  • Infectious Diseases 126
  • Radiology, Nuclear Medicine and Imaging 54
Replace Alec W. Freyn with:
Alec W. Freyn United States
Qingxia Han United States
Kathryn A. Hooper United States
Maria Lukarska France
Christian Harak Germany
Jun Mukaigawa Japan
Guaniri Mateu United States
Matt Ardito United States
Étori Aguiar Moreira Switzerland
Sanjay Sarkar United States
Alec W. Freyn United States View profile →
Citations per field, relative to Julianna Han
Julianna Han · 1×
Citations per year, relative to Julianna Han
Julianna Han · 1×

Countries citing papers authored by Julianna Han

Since Specialization
Citations

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

Fields of papers citing papers by Julianna Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julianna Han

This figure shows the co-authorship network connecting the top 25 collaborators of Julianna Han. A scholar is included among the top collaborators of Julianna Han 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 Julianna Han. Julianna Han 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 0
6 0
7 1
8 2
9 1
10 3
11 23
12 9
13 9
14 42
15 23
16 18
17 21
18 7
19 36
20 33

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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