Heming Wang

733 citations
28 papers · 428 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Biochemical and Structural Characterization 2
    • RNA Research and Splicing 2
    • RNA regulation and disease 2
    • Virus-based gene therapy research 3
    • Mesenchymal stem cell research 2

Heming Wang

28 papers receiving 423 citations

Peers

Heming Wang
Comparison fields: 5 of 78
  • Cancer Research 54
  • Genetics 98
  • Molecular Biology 238
  • Oncology 50
  • Infectious Diseases 33
Replace Hui Tian with:
Hui Tian China
Yen‐Hua Huang Taiwan
Kajari Dhar United States
Ningyi Jin China
Chengping Li China
Lanping Zhu China
Hye Jin Choi South Korea
Yinying Lu China
Nandakumar Packiriswamy United States
Lindsay D. Butcher United States
Heming Wang relative to Hui Tian China Hui Tian's profile →
Citations per field
00.5×1.5×1.8×
Hui Tian · 1×
Citations per year

Countries citing papers authored by Heming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Heming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lack of persistence of E1- recombinant adenoviral vectors containing a temperature-sensitive E2A mutation in immunocompetent mice and hemophilia B dogs.
199689
2 201451
3 202133
4 202233
5 202131
6 202124
7 202419
8 200617
9 202116
10 202215
11 202212
12 201711
13 200710
14 20248
15 20218
16 20178
17 20227
18 20247
19 20246
20 20235

About Heming Wang

Heming Wang is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Infectious Diseases, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (2 papers), Biochemical and Structural Characterization (2 papers), RNA Research and Splicing (2 papers), Immunotherapy and Immune Responses (2 papers), Mesenchymal stem cell research (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (54 citations), Genetics (98 citations), Molecular Biology (238 citations), Oncology (50 citations) and Infectious Diseases (33 citations). Heming Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yicheng Zhao, Guangqi Song, Jiayi Wei, Randy C. Eisensmith, Bingliang Fang, Gerald W. Gordon, Dwight A. Bellinger, K. M. Brinkhous, Savio L.C. Woo and Marjorie S. Read. Their work appears in journals such as Frontiers in Oncology, Journal of Surgical Research, Nature Communications, Virulence and Briefings in Bioinformatics.

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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