Haihe Wang

1.7k citations
51 papers · 1.2k · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Protein Tyrosine Phosphatases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • vaccines and immunoinformatics approaches

Papers in

    • Protein Tyrosine Phosphatases 9
    • RNA Research and Splicing 4
    • Histone Deacetylase Inhibitors Research 3
    • Autophagy in Disease and Therapy 6

Haihe Wang

51 papers receiving 1.2k citations

Peers

Haihe Wang
Comparison fields: 5 of 98
  • Cancer Research 235
  • Molecular Biology 855
  • Reproductive Medicine 88
  • Obstetrics and Gynecology 71
  • Immunology 184
Replace Kensuke Tomio with:
Kensuke Tomio Japan
Sudhakar Jha Singapore
Agnieszka Michael United Kingdom
Daniel G. Rudmann United States
Chi Hang Wong Hong Kong
Suraj Peri United States
Yide Mei China
Xiaoling Liu China
Laura M. Bartle United States
Fei Teng China
Haihe Wang relative to Kensuke Tomio Japan Kensuke Tomio's profile →
Citations per field
00.5×3.9×
Kensuke Tomio · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007210
2 2010138
3 202094
4 201479
5 200677
6 202177
7 201848
8 201848
9 201334
10 201432
11 201527
12 202127
13 202025
14 201623
15 202019
16 201617
17 202016
18 201316
19 201215
20 202014

About Haihe Wang

Haihe Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Cell Biology and Cancer Research, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (9 papers), Cancer-related Molecular Pathways (8 papers), Autophagy in Disease and Therapy (6 papers), RNA Research and Splicing (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Acute Myeloid Leukemia Research (3 papers), Microtubule and mitosis dynamics (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Cancer Research (235 citations), Molecular Biology (855 citations), Reproductive Medicine (88 citations), Obstetrics and Gynecology (71 citations) and Immunology (184 citations). Haihe Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qi Zeng, Samantha Yiling Quah, Jing Tang, Edward Manser, Yongqun He, Edison Ong, Shulan Yang, Jie Li, Ke Guo and Wen Guan. Their work appears in journals such as Cancer Research, Journal of Experimental & Clinical Cancer Research, Cancer Cell International, Autophagy and Journal of Cellular and Molecular Medicine.

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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