Wengang Ge

519 citations
7 papers · 252 indexed · 1 hit paper · h-index 5
Topics
CRISPR and Genetic Engineering (3 papers)CAR-T cell therapy research (3 papers)Organ Transplantation Techniques and Outcomes (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Wengang Ge

6 papers receiving 246 citations

Hit Papers

CRISPR/Cas9-Engineered Universal CD19/CD22 Dual-Targeted ...2021202620222024202150100150200

Peers

Wengang Ge
Comparison fields: 5 of 27
  • Oncology 193
  • Molecular Biology 116
  • Genetics 81
  • Biomedical Engineering 63
  • Immunology 52
Replace Roseanna M. Petrovic with:
Roseanna M. Petrovic United Kingdom
Sayaka Nagata Japan
Purva Rathi United States
Earle O. Assanah United States
John Pineda United States
Hugo Bottois France
Nancy P. Kren United States
Adeline N. Boettcher United States
Youguo Long China
Meike Hohwieler Germany
Wengang Ge relative to Roseanna M. Petrovic United Kingdom Roseanna M. Petrovic's profile →
Citations per field
00.5×
Roseanna M. Petrovic · 1×
Citations per year

Countries citing papers authored by Wengang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Wengang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wengang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Wengang Ge. A scholar is included among the top collaborators of Wengang Ge 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 Wengang Ge. Wengang Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 12
2
CRISPR/Cas9-Engineered Universal CD19/CD22 Dual-Targeted CAR-T Cell Therapy for Relapsed/Refractory B-cell Acute Lymphoblastic Leukemiabreakdown →
202
3 13
4
[Mechanism of enhancement of the CTL activity in mice co-expressing CD80, CD86 and CD137L genes].
0
5 14
6 10
7
[Surgical methods in living donor liver transplantation: with report of 50 cases].
1

About Wengang Ge

Wengang Ge is a scholar working on Hepatology, Oncology and Biotechnology, having authored 7 papers that have together received 252 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (3 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Oncology (193 citations), Genetics (81 citations) and Immunology (52 citations). Wengang Ge has collaborated with scholars based in China and United States. Frequent co-authors include Yi Li, Hao Wang, Xingwang Zhang, He Huang, Mingming Zhang, Jiangtao Ren, Yongxian Hu, Yali Zhou, Li Yang and Guoqing Wei. Their work appears in journals such as Blood, Clinical Cancer Research and Gene Therapy.

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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