Diana Wu

2.6k total citations
11 papers, 160 citations indexed

About

Diana Wu is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Diana Wu has authored 11 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Diana Wu's work include Acute Lymphoblastic Leukemia research (2 papers), Reproductive Biology and Fertility (2 papers) and Pediatric Pain Management Techniques (2 papers). Diana Wu is often cited by papers focused on Acute Lymphoblastic Leukemia research (2 papers), Reproductive Biology and Fertility (2 papers) and Pediatric Pain Management Techniques (2 papers). Diana Wu collaborates with scholars based in United States. Diana Wu's co-authors include Steven R. Lindheim, Hua Jin, Patrick Secrest, Nissi Varki, Pascal Gagneux, Jean Y. J. Wang, Liwen Deng, Fang Ma, Dwayne G. Stupack and Antje Pokorny and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biophysical Journal.

In The Last Decade

Diana Wu

10 papers receiving 158 citations

Peers

Diana Wu
Comparison fields: 5 of 58
  • Molecular Biology 83
  • Reproductive Medicine 36
  • Immunology 32
  • Cellular and Molecular Neuroscience 25
  • Public Health, Environmental and Occupational Health 25
Replace Stephan Jansen with:
Stephan Jansen Germany
Serge Goupil Canada
Sreenath Shanker United States
Qiuling Yue China
Auke B.C. Otten United States
Tomohiro Tobita Japan
Daniela Leronni United States
Napoleon Law Canada
Laurence Stouvenel France
Yasmyn E. Winstanley Australia
Stephan Jansen Germany View profile →
Citations per field, relative to Diana Wu
Diana Wu · 1×
Citations per year, relative to Diana Wu
Diana Wu · 1×

Countries citing papers authored by Diana Wu

Since Specialization
Citations

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

Fields of papers citing papers by Diana Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Wu. A scholar is included among the top collaborators of Diana Wu 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 Diana Wu. Diana Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 2
5 9
6 9
7 0
8 61
9 8
10 27
11 41

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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