Grace L. Wong

824 citations
13 papers · 578 indexed · 1 hit paper · h-index 9
Topics
Cytokine Signaling Pathways and Interactions (4 papers)Extracellular vesicles in disease (3 papers)Cancer Mechanisms and Therapy (3 papers)
Partner nations
United States

In The Last Decade

Grace L. Wong

12 papers receiving 573 citations

Hit Papers

IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Bio...2022202620232024202250100150

Peers

Grace L. Wong
Comparison fields: 5 of 74
  • Molecular Biology 341
  • Oncology 229
  • Cancer Research 150
  • Immunology 82
  • Pulmonary and Respiratory Medicine 77
Replace Sara G. Manore with:
Sara G. Manore United States
Tao Pan China
Mingjing Shen China
Crystal Cornelius United States
Minna Luo China
Manoj Kumar Karuppusamy Rathinam United States
Hyeryeong Kim South Korea
Shangke Huang China
Joji Nakayama Japan
Siao Muk Cheng Taiwan
Grace L. Wong relative to Sara G. Manore United States Sara G. Manore's profile →
Citations per field
00.5×1.5×
Sara G. Manore · 1×
Citations per year

Countries citing papers authored by Grace L. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Grace L. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace L. Wong. 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 Grace L. Wong. The network helps show where Grace L. Wong may publish in the future.

Co-authorship network of co-authors of Grace L. Wong

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 38
5 9
6
IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Biology and Treatmentbreakdown →
173
7 73
8 1
9 19
10 18
11 63
12 134
13 45

About Grace L. Wong

Grace L. Wong is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 13 papers that have together received 578 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Extracellular vesicles in disease (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cancer Research (150 citations), Oncology (229 citations) and Molecular Biology (341 citations). Grace L. Wong has collaborated with scholars based in United States. Frequent co-authors include Hui‐Wen Lo, Daniel Doheny, Sara G. Manore, Angelina T. Regua, Alexandra Thomas, Sherona Sirkisoon, Roy E. Strowd, Michael D. Chan, Jimmy Ruiz and Jiayuh Lin. Their work appears in journals such as Gastroenterology, Cancer Research and Oncogene.

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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