J Wang

492 citations
22 papers · 389 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

J Wang

19 papers receiving 383 citations

Peers

J Wang
Comparison fields: 5 of 79
  • Cancer Research 117
  • Immunology 137
  • Rheumatology 52
  • Molecular Biology 171
  • Genetics 21
Replace Mingli Gu with:
Mingli Gu China
Susan Olalekan United States
Katja Grün Germany
Jenny A. F. Vermeer Netherlands
Rong Peng China
Kazutoshi Komiya Japan
Ekaterina Zmievskaya Russia
Gesa Schuebbe Germany
Nikolett Marton Hungary
Shu‐Chun Tsai Taiwan
J Wang relative to Mingli Gu China Mingli Gu's profile →
Citations per field
00.5×3.5×
Mingli Gu · 1×
Citations per year

Countries citing papers authored by J Wang

Since Specialization
Citations

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

Fields of papers citing papers by J Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013157
2 201378
3 201555
4 201432
5 200914
6 200611
7 201111
8 20157
9 20185
10 20204
11 20144
12
Screening of Potential Probiotic Lactic Acid Bacteria from Inner Mongolian Dairy Tofu
20142
13 19992
14 20222
15 20251
16 20201
17 20061
18 20251
19 20081
20 20230

About J Wang

J Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Polymers and Plastics and Mechanics of Materials, having authored 22 papers that have together received 389 indexed citations. Recurring topics across this work include Conducting polymers and applications (2 papers), Perovskite Materials and Applications (2 papers), MicroRNA in disease regulation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Organic Electronics and Photovoltaics (2 papers), Galectins and Cancer Biology (1 paper), Food Quality and Safety Studies (1 paper) and Hydrocarbon exploration and reservoir analysis (1 paper). The work is most often cited by research in Cancer Research (117 citations), Immunology (137 citations), Rheumatology (52 citations), Molecular Biology (171 citations) and Genetics (21 citations). J Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yuexin Shan, Liang Ma, Jia Feng, Yanfang Jiang, Xuelai Luo, Qinhe Yang, Hui Ding, Jing Cai, Jing Guo and Jianping Gong. Their work appears in journals such as Oncogene, Medicine, Oncogenesis, Leukemia and European Polymer Journal.

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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