Kate Shen

738 citations
13 papers · 544 · h-index 10

Impact in

    • Microtubule and mitosis dynamics
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • RNA modifications and cancer

Papers in

    • DNA Repair Mechanisms 5
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 2
    • Retinoids in leukemia and cellular processes 2
    • Cancer-related Molecular Pathways 5

Kate Shen

13 papers receiving 536 citations

Peers

Kate Shen
Comparison fields: 5 of 84
  • Cell Biology 74
  • Molecular Biology 308
  • Cancer Research 67
  • Ecology 103
  • Oncology 92
Replace Shengli Cai with:
Shengli Cai China
Chiaki Kato Japan
Hiromi Sakaguchi Japan
Karen S. Katula United States
Petri Pehkonen Finland
Irina M. Bochkis United States
Sergey Naumenko United States
Ryan A. V. Bell Canada
Leah M. Williams United States
Chih‐Yun Hsu Taiwan
Kate Shen relative to Shengli Cai China Shengli Cai's profile →
Citations per field
00.5×1.5×
Shengli Cai · 1×
Citations per year

Countries citing papers authored by Kate Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kate Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007124
2 200874
3 200565
4 201963
5 200562
6 200538
7 200625
8 200625
9 201925
10 200524
11 20068
12 20236
13 20055

About Kate Shen

Kate Shen is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 13 papers that have together received 544 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (2 papers), RNA modifications and cancer (2 papers), Estrogen and related hormone effects (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Ocean Acidification Effects and Responses (1 paper). The work is most often cited by research in Cell Biology (74 citations), Molecular Biology (308 citations), Cancer Research (67 citations), Ecology (103 citations) and Oncology (92 citations). Kate Shen has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James A. Raymond, Christian H. Fritsen, S.C. Brooks, Yaolin Wang, Yingrong Wang, Katarzyna Lubecka, Barbara Stefañska, David D. Kitts, Heather M. O’Hagan and Chu‐Xia Deng. Their work appears in journals such as FEMS Microbiology Ecology, Human Gene Therapy, Journal of Cellular Biochemistry, Molecular Carcinogenesis and Cancer Biology & Therapy.

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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