Haining Zhen

1.8k citations
52 papers · 1.4k · h-index 22

Impact in

Papers in

    • Cell death mechanisms and regulation 7
    • Ubiquitin and proteasome pathways 4
    • Glioma Diagnosis and Treatment 14

Haining Zhen

46 papers receiving 1.4k citations

Peers

Haining Zhen
Comparison fields: 5 of 103
  • Geriatrics and Gerontology 120
  • Genetics 306
  • Biochemistry 94
  • Cancer Research 193
  • Molecular Biology 685
Replace Hideki Kamitani with:
Hideki Kamitani Japan
Lucilla Luzi Italy
Giuliana Pelicci Italy
Rüdiger von Harsdorf Germany
Brooke M. Emerling United States
Xinqun Li United States
Stéphane Carpentier France
Annabelle Méry France
Steve P. Gygi United States
Yibo Wu China
Haining Zhen relative to Hideki Kamitani Japan Hideki Kamitani's profile →
Citations per field
00.5×3.1×
Hideki Kamitani · 1×
Citations per year

Countries citing papers authored by Haining Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Haining Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 200896
3 201094
4 200989
5 200787
6 201286
7 200575
8 201164
9 199957
10 200851
11 201141
12 201041
13 201039
14 200737
15 201036
16 200635
17 200833
18 200830
19 200724
20 200023

About Haining Zhen

Haining Zhen is a scholar working on Molecular Biology, Genetics, Cell Biology, Cancer Research and Oncology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cell death mechanisms and regulation (7 papers), Microtubule and mitosis dynamics (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Protease and Inhibitor Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Galectins and Cancer Biology (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (120 citations), Genetics (306 citations), Biochemistry (94 citations), Cancer Research (193 citations) and Molecular Biology (685 citations). Haining Zhen has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiang Zhang, Nobuyuki Kawai, Takashi Tamiya, Wei Zhang, Shuichi Okubo, Wenpeng Dong, Yoshihiro Nishiyama, Xinggang Mao, Zhou Fei and Bo-lin Liu. Their work appears in journals such as Journal of Neuro-Oncology, Cancer, Brain Research, Medical Oncology and Tumor Biology.

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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