Jiang Lv

554 citations
8 papers · 225 indexed · h-index 6

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 2
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3

Jiang Lv

8 papers receiving 222 citations

Peers

Jiang Lv
Comparison fields: 5 of 39
  • Oncology 162
  • Immunology 90
  • Biotechnology 12
  • Genetics 37
  • Pulmonary and Respiratory Medicine 41
Replace Haven R. Garber with:
Haven R. Garber United States
Daniel Ngai United States
Jim Middelburg Netherlands
Aodrenn Spill France
Ramona Rotolo Italy
Susanna Gallo Italy
Patrick Innamarato United States
Shon Green United States
Ying Fang United States
Ethan Gerdts United States
Jiang Lv relative to Haven R. Garber United States Haven R. Garber's profile →
Citations per field
00.5×2.7×
Haven R. Garber · 1×
Citations per year

Countries citing papers authored by Jiang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201995
2 202150
3 202034
4 202223
5 202210
6 20237
7 20235
8 20251

About Jiang Lv

Jiang Lv is a scholar working on Oncology, Immunology, Industrial and Manufacturing Engineering, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 225 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Constructed Wetlands for Wastewater Treatment (1 paper), Pleural and Pulmonary Diseases (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Oncology (162 citations), Immunology (90 citations), Biotechnology (12 citations), Genetics (37 citations) and Pulmonary and Respiratory Medicine (41 citations). Jiang Lv has collaborated with scholars based in China, Hong Kong and Russia. Frequent co-authors include Peng Li, Yao Yao, Qiting Wu, Youguo Long, Ruocong Zhao, Di Wu, Diwei Zheng, Shanglin Li, Zhiping Wu and Yan‐Lai Tang. Their work appears in journals such as Biomarker Research, Journal of Water Process Engineering, Molecular Therapy — Oncolytics, Cytotherapy and International Immunopharmacology.

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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