Fenlu Zhu

856 total citations · 1 hit paper
21 papers, 593 citations indexed

About

Fenlu Zhu is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Fenlu Zhu has authored 21 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Fenlu Zhu's work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (4 papers) and Biosimilars and Bioanalytical Methods (4 papers). Fenlu Zhu is often cited by papers focused on CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (4 papers) and Biosimilars and Bioanalytical Methods (4 papers). Fenlu Zhu collaborates with scholars based in United States, Germany and China. Fenlu Zhu's co-authors include Parameswaran Hari, Carolyn A. Keever-Taylor, Nirav N. Shah, Dina Schneider, Rimas J. Orentas, Boro Dropulić, Bryon D. Johnson, Timothy S. Fenske, Mehdi Hamadani and Winfried Krueger and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Fenlu Zhu

21 papers receiving 582 citations

Hit Papers

Bispecific anti-CD20, anti-CD19 CAR T cells for relapsed ... 2020 2026 2022 2024 2020 100 200 300

Peers

Fenlu Zhu
Comparison fields: 5 of 52
  • Oncology 485
  • Biomedical Engineering 197
  • Molecular Biology 186
  • Immunology 146
  • Genetics 125
Replace Yueh-wei Shen with:
Yueh-wei Shen United States
Ryo Hanajiri Japan
Simon Thomas United Kingdom
Junfang Yang China
Xue Lin United States
Danielle Vanasse United States
Sabine Heitzeneder United States
Reona Sakemura United States
Feiyan Mo United States
Thomas Shum United States
Yueh-wei Shen United States View profile →
Citations per field, relative to Fenlu Zhu
Fenlu Zhu · 1×
Citations per year, relative to Fenlu Zhu
Fenlu Zhu · 1×

Countries citing papers authored by Fenlu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Fenlu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenlu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fenlu Zhu. A scholar is included among the top collaborators of Fenlu Zhu 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 Fenlu Zhu. Fenlu Zhu 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
# Work Indexed citations
1 1
2
Bispecific anti-CD20, anti-CD19 CAR T cells for relapsed B cell malignancies: a phase 1 dose escalation and expansion trial breakdown →
318
3 1
4 7
5 2
6 32
7 32
8 27
9 5
10 87
11 1
12 14
13 11
14 4
15 18
16 4
17 4
18 5
19 13
20
A Preliminary Study on Macaca Mulatta Infected by Intrahepatic Injection of GHV-C/HGV RNA Transcripts Produced in vitro
3

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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