Haihe Wang

1.7k citations
54 papers · 1.3k · h-index 17

Impact in

Papers in

    • Cancer Cells and Metastasis 2
    • Cytokine Signaling Pathways and Interactions 2
    • Acute Myeloid Leukemia Research 5

Haihe Wang

52 papers receiving 1.3k citations

Peers

Haihe Wang
Comparison fields: 5 of 71
  • Cancer Research 103
  • Reproductive Medicine 88
  • Molecular Biology 396
  • Health Informatics 11
  • Hepatology 31
Replace Chengxuan Yu with:
Chengxuan Yu China
Carmela De Marco Italy
Cynthia A. Pise-Masison United States
Yasufumi Goto Japan
Yuanyuan Qiao United States
Qing fan Yang China
Xiaoyan Xin China
Yongdong Dai China
Nianyu Li United States
Haihe Wang relative to Chengxuan Yu China Chengxuan Yu's profile →
Citations per field
00.5×5×11.9×
Chengxuan Yu · 1×
Citations per year

Countries citing papers authored by Haihe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haihe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007227
2 2010143
3 2020118
4 202191
5 201488
6 200677
7 201851
8 201849
9 201339
10 201433
11 201530
12 202028
13 202126
14 201623
15 202020
16 201618
17 202017
18 201316
19 202016
20 202316

About Haihe Wang

Haihe Wang is a scholar working on Oncology, Hematology, Epidemiology, Molecular Biology and Hepatology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Cells and Metastasis (2 papers), Hepatitis C virus research (2 papers), Tuberculosis Research and Epidemiology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Gut microbiota and health (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Cancer Research (103 citations), Reproductive Medicine (88 citations), Molecular Biology (396 citations), Health Informatics (11 citations) and Hepatology (31 citations). Haihe Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Qi Zeng, Samantha Yiling Quah, Edward J. Manser, Jing Ping Tang, Yongqun Oliver He, Edison Ong, Shulan Yang, Jie Li, Ke Guo and Wen xian Guan. Their work appears in journals such as Cell Reports, Cancer Cell International, Journal of Experimental & Clinical Cancer Research, Cancer Research and Antiviral Research.

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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