Wanda Y. Li

23 papers receiving 2.7k citations

Wanda Y. Li's Hit Papers

Three tissue resident macrophage subsets coexist across organs with conserved origins and life cycles 2022 · 387 citations
3870+3+7Years since publication250500750

Peers

Wanda Y. Li
Comparison fields: 5 of 104
  • Cancer Research 691
  • Hematology 295
  • Immunology 551
  • Genetics 268
  • Molecular Biology 1.5k
Replace Jianbiao Zhou with:
Jianbiao Zhou Singapore
Pascal Colosetti France
Muriel D. David France
Elena Piskounova United States
Mohit Trikha United States
Alexandre Puissant France
Hiroya Asou Japan
Douglas E. Biancur United States
Patrizia Borsotti Italy
Michael Milyavsky Israel
Wanda Y. Li relative to Jianbiao Zhou Singapore Jianbiao Zhou's profile →
Citations per field
00.5×1.5×
Jianbiao Zhou · 1×
Citations per year

Countries citing papers authored by Wanda Y. Li

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Y. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wanda Y. Li. 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 Wanda Y. Li. The network helps show where Wanda Y. Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glutathione and Thioredoxin Antioxidant Pathways Synergize to Drive Cancer Initiation and Progression
Hit paper breakdown →
2015830
2 2012444
3
Three tissue resident macrophage subsets coexist across organs with conserved origins and life cycles
Hit paper breakdown →
2022387
4 2008176
5 2016166
6 2014103
7 201696
8 201591
9 201478
10 201256
11 202148
12 201143
13 201737
14 202030
15 201529
16 201627
17 201522
18 202320
19 201617
20 201915

About Wanda Y. Li

Wanda Y. Li is a scholar working on Hematology, Immunology, Cancer Research, Molecular Biology and Biochemistry, having authored 23 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Immune cells in cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Sulfur Compounds in Biology (2 papers), Redox biology and oxidative stress (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (691 citations), Hematology (295 citations), Immunology (551 citations), Genetics (268 citations) and Molecular Biology (1.5k citations). Wanda Y. Li has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Tak W. Mak, Zhenyue Hao, Andrew C. Wakeham, Jillian Haight, Gordon S. Duncan, Geoffrey A. Wood, Jane Seagal, Nien‐Jung Chen, Klaus Rajewsky and Stefano S Casola. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Cell, Nature Communications, Cell Death and Differentiation and Journal of Clinical Investigation.

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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