Zhao Yang Lu

415 total citations
8 papers, 351 citations indexed

About

Zhao Yang Lu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Zhao Yang Lu has authored 8 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Zhao Yang Lu's work include Immunotherapy and Immune Responses (3 papers), Viral-associated cancers and disorders (2 papers) and T-cell and B-cell Immunology (2 papers). Zhao Yang Lu is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Viral-associated cancers and disorders (2 papers) and T-cell and B-cell Immunology (2 papers). Zhao Yang Lu collaborates with scholars based in France, China and Switzerland. Zhao Yang Lu's co-authors include Bernard Klein, Jean‐François Rossi, Kalle Levón, J Brochier, John Wijdenes, Hervé Brailly, Régis Bataille, Karin Tarte, Éric Legouffe and Yuan Chang and has published in prestigious journals such as Blood, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Zhao Yang Lu

8 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhao Yang Lu France	6	183	158	79	52	41	8	351
Andrew C. Palfreeman United Kingdom	8	312 1.7×	87 0.6×	124 1.6×	68 1.3×	23 0.6×	8	497
Chengxin Luo China	10	89 0.5×	98 0.6×	119 1.5×	61 1.2×	31 0.8×	23	363
Bernard Souberbielle United Kingdom	10	131 0.7×	62 0.4×	73 0.9×	20 0.4×	58 1.4×	17	334
Natalie M. Edner United Kingdom	8	361 2.0×	126 0.8×	116 1.5×	16 0.3×	32 0.8×	12	558
Ahmed Mostafa Canada	10	117 0.6×	120 0.8×	107 1.4×	25 0.5×	29 0.7×	35	374
Eva Sanz Spain	11	375 2.0×	88 0.6×	105 1.3×	75 1.4×	134 3.3×	15	641
Nicoletta Arduino Italy	11	201 1.1×	76 0.5×	93 1.2×	45 0.9×	25 0.6×	14	371
Jason Law United States	8	153 0.8×	56 0.4×	90 1.1×	71 1.4×	19 0.5×	20	358
Myrthel E. Hargrove United States	14	355 1.9×	146 0.9×	93 1.2×	44 0.8×	18 0.4×	28	477
D L Chapman United States	6	137 0.7×	83 0.5×	77 1.0×	35 0.7×	17 0.4×	14	378

Countries citing papers authored by Zhao Yang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Zhao Yang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhao Yang Lu. 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 Zhao Yang Lu. The network helps show where Zhao Yang Lu may publish in the future.

Co-authorship network of co-authors of Zhao Yang Lu

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

All Works

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8 of 8 papers shown

1.

Rossi, Jean‐François, et al.. (2021). Dynamic Immune/Inflammation Precision Medicine: The Good and the Bad Inflammation in Infection and Cancer. Frontiers in Immunology. 12. 595722–595722. 80 indexed citations

2.

Qi, Jia, et al.. (2017). Leonurine Improves Age-Dependent Impaired Angiogenesis: Possible Involvement of Mitochondrial Function and HIF-1α Dependent VEGF Activation. Frontiers in Pharmacology. 8. 284–284. 27 indexed citations

3.

Xu, Li, et al.. (2014). Preparation of a New Polyclonal Antibody Based on PAHs Immunogen. Journal of Agricultural Science and Technology. 16(3). 143–149. 1 indexed citations

4.

Condomines, Maud, Thierry Rème, Philippe Quittet, et al.. (2007). In vitro expansion of gamma delta T cells with anti‐myeloma cell activity by Phosphostim and IL‐2 in patients with multiple myeloma. British Journal of Haematology. 139(2). 206–216. 61 indexed citations

5.

Tarte, Karin, Zhao Yang Lu, Éric Legouffe, et al.. (1998). Clinical-Grade Functional Dendritic Cells From Patients With Multiple Myeloma Are Not Infected With Kaposi's Sarcoma-Associated Herpesvirus. Blood. 91(6). 1852–1857. 2 indexed citations

6.

Tarte, Karin, Zhao Yang Lu, Éric Legouffe, et al.. (1998). Clinical-Grade Functional Dendritic Cells From Patients With Multiple Myeloma Are Not Infected With Kaposi's Sarcoma-Associated Herpesvirus. Blood. 91(6). 1852–1857. 47 indexed citations

7.

Tarte, Karin, Zhao Yang Lu, Geneviève Fiol, et al.. (1997). Generation of Virtually Pure and Potentially Proliferating Dendritic Cells From Non-CD34 Apheresis Cells From Patients With Multiple Myeloma. Blood. 90(9). 3482–3495. 37 indexed citations

8.

Lu, Zhao Yang, J Brochier, John Wijdenes, et al.. (1992). High amounts of circulating interleukin (IL)‐6 in the form of monomeric immune complexes during anti‐IL‐6 therapy. Towards a new methodology for measuring overall cytokine production in human in vivo. European Journal of Immunology. 22(11). 2819–2824. 96 indexed citations

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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