Haopeng Yang

2.8k citations
44 papers · 1.3k · 1 hit paper · h-index 22

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 4
    • Cancer-related gene regulation 4
    • CAR-T cell therapy research 4

Haopeng Yang

40 papers receiving 1.3k citations

Haopeng Yang's Hit Papers

Rewiring cancer drivers to activate apoptosis 2023 · 98 citations
980+1+2Years since publication255075

Peers

Haopeng Yang
Comparison fields: 5 of 106
  • Analytical Chemistry 95
  • Immunology 179
  • Molecular Biology 591
  • Neurology 66
  • Epidemiology 215
Replace Jianbao Zheng with:
Jianbao Zheng China
Leda Biordi Italy
Weitao Cong China
Sheng‐Hong Tseng Taiwan
Corinne Martin‐Chouly France
C. Anthony Rupar Canada
Yasuyo Urasaki United States
Herminia González‐Navarro Spain
Piao Luo China
Haopeng Yang relative to Jianbao Zheng China Jianbao Zheng's profile →
Citations per field
00.5×1.5×2.1×
Jianbao Zheng · 1×
Citations per year

Countries citing papers authored by Haopeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haopeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006171
2 2008105
3
Rewiring cancer drivers to activate apoptosis
Hit paper breakdown →
202398
4 201474
5 200471
6 201371
7 200668
8 201367
9 201560
10 202142
11 200735
12 201933
13 201530
14 201628
15 202428
16 201228
17 201327
18 201424
19 202124
20 200724

About Haopeng Yang

Haopeng Yang is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers), CAR-T cell therapy research (4 papers), Autophagy in Disease and Therapy (3 papers), Immune Cell Function and Interaction (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Analytical Chemistry (95 citations), Immunology (179 citations), Molecular Biology (591 citations), Neurology (66 citations) and Epidemiology (215 citations). Haopeng Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Michael R. Green, Junping Kou, Boyang Yu, Hong Mu, Shihan Yan, H.-M. Chai, Chao Chen, Ping‐I Lin, Rikiya Ohashi and Xuejun Li. Their work appears in journals such as Blood, Chinese Journal of Natural Medicines, Gynecologic Oncology, Talanta and Leukemia.

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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