Minshu Yu

1.2k citations
30 papers · 1.0k · h-index 20

Impact in

Papers in

    • PARP inhibition in cancer therapy 7
    • Cancer-related Molecular Pathways 1
    • Ovarian cancer diagnosis and treatment 4

Minshu Yu

29 papers receiving 984 citations

Peers

Minshu Yu
Comparison fields: 5 of 48
  • Oncology 267
  • Reproductive Medicine 90
  • Cancer Research 73
  • Cell Biology 49
  • Biotechnology 13
Replace Piotr Zawierucha with:
Piotr Zawierucha Poland
Raymonde Bovey Switzerland
Yueliang Yao China
Debora Rasio Italy
Pepita Gimenez‐Bonafé Spain
Irina B. Zborovskaya Russia
Hemant K. Parekh United States
Hongyan Jin China
Brittney S. Harrington Australia
Sébastien Corre France
Minshu Yu relative to Piotr Zawierucha Poland Piotr Zawierucha's profile →
Citations per field
00.5×2×4×6.5×
Piotr Zawierucha · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 201074
3 201769
4 199567
5 201256
6 201054
7 201653
8 200244
9 201739
10 200335
11 200531
12 201227
13 202027
14 200426
15 200525
16 200424
17 200021
18 201521
19 200420
20 201120

About Minshu Yu

Minshu Yu is a scholar working on Oncology, Reproductive Medicine, Cancer Research, Cell Biology and Molecular Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (7 papers), Ovarian cancer diagnosis and treatment (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Ethics in Clinical Research (1 paper), Microtubule and mitosis dynamics (1 paper), Estrogen and related hormone effects (1 paper), Hepatitis B Virus Studies (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (267 citations), Reproductive Medicine (90 citations), Cancer Research (73 citations), Cell Biology (49 citations) and Biotechnology (13 citations). Minshu Yu has collaborated with scholars based in United States, Norway and Malaysia. Frequent co-authors include Elizabeth G. Snyderwine, Elise C. Kohn, Liang Shan, Christina M. Annunziata, Lori M. Minasian, Bradford J. Wood, Seth M. Steinberg, Nicolas Gordon, Tristan M. Sissung and William Douglas Figg. Their work appears in journals such as Oncotarget, Carcinogenesis, Gynecologic Oncology, Clinical Cancer Research and American Journal Of Pathology.

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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