Geng Wang

2.8k citations
97 papers · 2.0k · h-index 22

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Cancer Cells and Metastasis 5
    • Metabolism, Diabetes, and Cancer 3

Geng Wang

88 papers receiving 2.0k citations

Peers

Geng Wang
Comparison fields: 5 of 136
  • Critical Care and Intensive Care Medicine 80
  • Immunology 342
  • Cancer Research 209
  • Oncology 335
  • Molecular Biology 778
Replace Evie H. Carchman with:
Evie H. Carchman United States
Shengyu Wang China
Montserrat Batlle Spain
Piotr Tymoszuk Austria
Vimal A. Patel United States
Chunfeng Liu China
Eun Young Choi South Korea
Chunling Zhao China
Shuo Wang China
Giuseppe Cappellano Italy
Geng Wang relative to Evie H. Carchman United States Evie H. Carchman's profile →
Citations per field
00.5×1.5×
Evie H. Carchman · 1×
Citations per year

Countries citing papers authored by Geng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Geng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017319
2 2021157
3 2020130
4 200882
5 202168
6 202264
7 201464
8 202159
9 201855
10 201852
11 201952
12 202148
13 202042
14 199341
15 201339
16 201337
17 202034
18 202028
19 202028
20 202225

About Geng Wang

Geng Wang is a scholar working on Oncology, Molecular Biology, Immunology, Epidemiology and Infectious Diseases, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cancer Cells and Metastasis (5 papers), Immune Cell Function and Interaction (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Natural Compounds in Disease Treatment (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), Estrogen and related hormone effects (3 papers) and Ophthalmology and Visual Impairment Studies (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (80 citations), Immunology (342 citations), Cancer Research (209 citations), Oncology (335 citations) and Molecular Biology (778 citations). Geng Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xing Gao, Keyu Zhai, Wu Lu, Jinghong Li, Da Chen, Yan Jin, Na Li, Yun‐Bo Shi, Qun Wang and Lisa Staiano‐Coico. Their work appears in journals such as International Immunopharmacology, PLoS ONE, Experimental Cell Research, Archives of Virology and Cytokine & Growth Factor Reviews.

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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