Bin Wang

10.0k citations
217 papers · 7.1k indexed · 2 hit papers · h-index 42

Bin Wang

207 papers receiving 7.0k citations

Hit Papers

Amino acid metabo...17320122026201620214008001.2k

Peers

Bin Wang
Comparison fields: 5 of 157
  • Molecular Medicine 746
  • Pollution 835
  • Applied Microbiology and Biotechnology 136
  • Cancer Research 879
  • Immunology 1.2k
Replace Hisahiro Yoshida with:
Hisahiro Yoshida Japan
Si Lok Hong Kong
Ying-Tsong Chen Taiwan
Yang Yang China
John W. Christman United States
Li Han China
Feng Jiang China
Chao Qi United States
Liping Jiang China
Bin Wang relative to Hisahiro Yoshida Japan Hisahiro Yoshida's profile →
Citations per field
00.5×6.2×
Hisahiro Yoshida · 1×
Citations per year

Countries citing papers authored by Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20246
5 20230
6 202317
7 20237
8 202212
9 202224
10 202022
11 201990
12 201934
13 2014174
14 20141
15
The Shared Antibiotic Resistome of Soil Bacteria and Human Pathogensbreakdown →
20121237
16 201239
17
[Clinical characteristics of children with B cell type acute lymphoblastic leukemia carrying different fusion gene].
20101
18 200928
19 200011
20 199318

About Bin Wang

Bin Wang is a scholar working on Cancer Research, Immunology and Cell Biology, having authored 217 papers that have together received 7.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), Ubiquitin and proteasome pathways (16 papers), MicroRNA in disease regulation (13 papers), T-cell and B-cell Immunology (12 papers), RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (11 papers), Cancer Cells and Metastasis (10 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). The work is most often cited by research in Molecular Medicine (746 citations), Pollution (835 citations) and Applied Microbiology and Biotechnology (136 citations). Bin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gautam Dantas, Morten Otto Alexander Sommer, Elizabeth M. Selleck, Alejandro Reyes, Kevin J. Forsberg, Kui‐Jin Kim, Kanakaraju Kaliannan, Xiangyong Li, Jing X. Kang and Xiu‐Wu Bian. Their work appears in journals such as Journal of Biological Chemistry, Cancer Letters, Scientific Reports, The Journal of Immunology and AIDS Research and Human Retroviruses.

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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