Minshu Yu

1.2k citations
37 papers · 998 · h-index 20

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Ovarian cancer diagnosis and treatment

Papers in

    • PARP inhibition in cancer therapy 13
    • Cancer-related Molecular Pathways 6
    • Cytokine Signaling Pathways and Interactions 3
    • DNA Repair Mechanisms 3
    • Cell death mechanisms and regulation 2

Minshu Yu

36 papers receiving 972 citations

Peers

Minshu Yu
Comparison fields: 5 of 74
  • Oncology 474
  • Reproductive Medicine 133
  • Cancer Research 142
  • Molecular Biology 493
  • Genetics 149
Replace R. Gätje with:
R. Gätje Germany
M. J. Birrer United States
Letícia Batista Azevedo Rangel Brazil
Xiangbing Meng United States
Lilach Kleinberg Norway
Faina Vikhanskaya Italy
Jessica A. Beach United States
Ying Su China
Laura M. Handel United States
Gennaro Colella Italy
Minshu Yu relative to R. Gätje Germany R. Gätje's profile →
Citations per field
00.5×1.5×2.2×
R. Gätje · 1×
Citations per year

Countries citing papers authored by Minshu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Minshu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014154
2 201075
3 199566
4 201766
5 201255
6 201054
7 201648
8 200244
9 201736
10 200332
11 200531
12 202026
13 200425
14 200525
15 201224
16 200424
17 200021
18 200420
19 201120
20 201520

About Minshu Yu

Minshu Yu is a scholar working on Oncology, Molecular Biology, Genetics, Reproductive Medicine and Cancer Research, having authored 37 papers that have together received 998 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (13 papers), Ovarian cancer diagnosis and treatment (6 papers), Cancer-related Molecular Pathways (6 papers), BRCA gene mutations in cancer (4 papers), DNA Repair Mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Oncology (474 citations), Reproductive Medicine (133 citations), Cancer Research (142 citations), Molecular Biology (493 citations) and Genetics (149 citations). Minshu Yu has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include Elizabeth G. Snyderwine, Elise C. Kohn, Liang Shan, Christina M. Annunziata, Lori M. Minasian, Seth M. Steinberg, Bradford J. Wood, Jung Min Lee, Nicolas Gordon and Nicole Houston. Their work appears in journals such as Cancer Research, Oncotarget, Journal of Clinical Oncology, Clinical Cancer Research and Carcinogenesis.

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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