Huang‐Ge Zhang

14.4k citations
112 papers · 11.0k indexed · 6 hit papers · h-index 54
Topics
Extracellular vesicles in disease (31 papers)Immunotherapy and Immune Responses (22 papers)Immune Cell Function and Interaction (21 papers)

In The Last Decade

Huang‐Ge Zhang

111 papers receiving 10.9k citations

Hit Papers

Grape Exosome-like Nanoparticles Induce Intestinal Stem C...201320262017202120132014201520212022200400600

Peers

Huang‐Ge Zhang
Comparison fields: 5 of 140
  • Molecular Biology 7.9k
  • Cancer Research 3.8k
  • Immunology 3.2k
  • Oncology 1.2k
  • Biomedical Engineering 753
Replace Makiya Nishikawa with:
Makiya Nishikawa Japan
Rong Xiang China
Xiaoyu Xiang United States
Devanand Sarkar United States
Janko Kos Slovenia
Farhad Jadidi‐Niaragh Iran
Herman Yeger Canada
Xia Zhao China
Zhongbin Deng United States
In‐San Kim South Korea
Huang‐Ge Zhang relative to Makiya Nishikawa Japan Makiya Nishikawa's profile →
Citations per field
00.5×2.8×
Makiya Nishikawa · 1×
Citations per year

Countries citing papers authored by Huang‐Ge Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Huang‐Ge Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huang‐Ge Zhang. 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 Huang‐Ge Zhang. The network helps show where Huang‐Ge Zhang may publish in the future.

Co-authorship network of co-authors of Huang‐Ge Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Huang‐Ge Zhang. A scholar is included among the top collaborators of Huang‐Ge Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huang‐Ge Zhang. Huang‐Ge Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolitesbreakdown →
28
2 44
3 8
4 64
5 64
6 295
7 79
8 31
9 184
10 115
11 6
12 17
13 99
14 408
15 33
16 93
17 15
18 31
19 173
20 20

About Huang‐Ge Zhang

Huang‐Ge Zhang is a scholar working on Immunology, Molecular Biology and Cancer Research, having authored 112 papers that have together received 11.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (31 papers), Immunotherapy and Immune Responses (22 papers) and Immune Cell Function and Interaction (21 papers). The work is most often cited by research in Cancer Research (3.8k citations), Immunology (3.2k citations) and Molecular Biology (7.9k citations). Huang‐Ge Zhang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include William E. Grizzle, Zhongbin Deng, Jun Yan, Xiaoying Zhuang, Jingyao Mu, John D. Mountz, Cunren Liu, Xiaoyu Xiang, Donald M. Miller and Jianhua Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature 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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