Jennifer C. Yu

1.1k total citations
21 papers, 564 citations indexed

About

Jennifer C. Yu is a scholar working on Genetics, Epidemiology and Hematology. According to data from OpenAlex, Jennifer C. Yu has authored 21 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Epidemiology and 5 papers in Hematology. Recurrent topics in Jennifer C. Yu's work include Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). Jennifer C. Yu is often cited by papers focused on Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). Jennifer C. Yu collaborates with scholars based in United States, Finland and Kenya. Jennifer C. Yu's co-authors include Jeanne Altmann, Memuna Z. Khan, Mavis Agbandje‐McKenna, Robert McKenna, Mario Mietzsch, Ariana Jose, Antonette Bennett, Brian Bothner, Joshua J. Field and Gene Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Jennifer C. Yu

19 papers receiving 539 citations

Peers

Jennifer C. Yu
Comparison fields: 5 of 91
  • Genetics 206
  • Molecular Biology 172
  • Social Psychology 115
  • Small Animals 110
  • Ecology, Evolution, Behavior and Systematics 97
Replace Ricardo A. Valdez with:
Ricardo A. Valdez Mexico
Andrew Overall United Kingdom
Sherril L. Green United States
A F Parlow United States
Fumiaki Cho Japan
Anne R. Brodie United States
Peter Daels United States
Janelle M. Belanger United States
Jaco Bakker Netherlands
L. George United Kingdom
Ricardo A. Valdez Mexico View profile →
Citations per field, relative to Jennifer C. Yu
Jennifer C. Yu · 1×
Citations per year, relative to Jennifer C. Yu
Jennifer C. Yu · 1×

Countries citing papers authored by Jennifer C. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer C. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer C. Yu. 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 Jennifer C. Yu. The network helps show where Jennifer C. Yu may publish in the future.

Co-authorship network of co-authors of Jennifer C. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer C. Yu. A scholar is included among the top collaborators of Jennifer C. Yu 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 Jennifer C. Yu. Jennifer C. Yu 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 17
3 1
4 2
5 7
6 32
7 15
8 43
9 0
10 17
11 15
12 23
13 2
14 5
15 121
16
The Rise of Chinese Acupuncture in the West: How an Ancient Eastern Tradition Became an American Medical Staple.
6
17 2
18 23
19 46
20 185

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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