Jane Sun

1.7k citations
35 papers · 1.3k · h-index 21

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Pluripotent Stem Cells Research
    • Renal and related cancers
    • Wnt/β-catenin signaling in development and cancer
    • Metabolism, Diabetes, and Cancer

Papers in

    • Pluripotent Stem Cells Research 12
    • Wnt/β-catenin signaling in development and cancer 4
    • Cancer-related gene regulation 4
    • Renal and related cancers 3
    • Pancreatic function and diabetes 6

Jane Sun

33 papers receiving 1.3k citations

Peers

Jane Sun
Comparison fields: 5 of 96
  • Virology 103
  • Molecular Biology 823
  • Endocrinology, Diabetes and Metabolism 131
  • Genetics 62
  • Infectious Diseases 102
Replace Christina M. O’Neill with:
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Jane Sun relative to Christina M. O’Neill United States Christina M. O’Neill's profile →
Citations per field
00.5×4.9×
Christina M. O’Neill · 1×
Citations per year

Countries citing papers authored by Jane Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 2008176
3 2007117
4 2008117
5 2012115
6 201472
7 200746
8 200643
9 200541
10 201440
11 200438
12 200937
13 201533
14 200929
15 200928
16 202128
17 202327
18 200724
19 202023
20 201020

About Jane Sun

Jane Sun is a scholar working on Molecular Biology, Surgery, Oncology, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Pancreatic function and diabetes (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related gene regulation (4 papers), 3D Printing in Biomedical Research (4 papers), Renal and related cancers (3 papers), Hair Growth and Disorders (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Virology (103 citations), Molecular Biology (823 citations), Endocrinology, Diabetes and Metabolism (131 citations), Genetics (62 citations) and Infectious Diseases (102 citations). Jane Sun has collaborated with scholars based in Australia, Canada and China. Frequent co-authors include Tianru Jin, I. George Fantus, Ernst J. Wolvetang, Patricia L. Brubaker, Gareth E. Lim, Dmitry A. Ovchinnikov, Huaying Chen, Justin J. Cooper‐White, Karl Kunzelmann and Pei Xuan Er. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Cellular Signalling, Human Molecular Genetics and Stem Cells and Development.

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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