Erick Lu

1.8k citations
14 papers · 1.3k · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 4
    • Inflammation biomarkers and pathways 1
    • Complement system in diseases 1
    • Adenosine and Purinergic Signaling 4

Erick Lu

14 papers receiving 1.3k citations

Peers

Erick Lu
Comparison fields: 5 of 79
  • Immunology 884
  • Oncology 256
  • Physiology 27
  • Immunology and Allergy 31
  • Neurology 42
Replace Flora Coulon with:
Flora Coulon France
Hongkang Xi United States
Alejandra Mendoza United States
Jens Peter H. Lauritsen Denmark
Tali Feferman Israel
Guosu Wang United Kingdom
Sarah J. Wilkinson United Kingdom
Nicola Harker United Kingdom
Jacqueline M. Slavik United States
Kensuke Oikawa Japan
Erick Lu relative to Flora Coulon France Flora Coulon's profile →
Citations per field
00.5×2×4×5.4×
Flora Coulon · 1×
Citations per year

Countries citing papers authored by Erick Lu

Since Specialization
Citations

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

Fields of papers citing papers by Erick Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018345
2 2021272
3 2016251
4 201784
5 201769
6 201964
7 201960
8 202257
9 201550
10 202331
11 202427
12 202110
13 20039
14 20252

About Erick Lu

Erick Lu is a scholar working on Immunology, Physiology, Oncology, Genetics and Surgery, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Adenosine and Purinergic Signaling (4 papers), Immunotherapy and Immune Responses (4 papers), Drug Transport and Resistance Mechanisms (2 papers), Inflammation biomarkers and pathways (1 paper), Cannabis and Cannabinoid Research (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Immunology (884 citations), Oncology (256 citations), Physiology (27 citations), Immunology and Allergy (31 citations) and Neurology (42 citations). Erick Lu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jason G. Cyster, Tangsheng Yi, Jianhua Li, Lauren B. Rodda, Sanjiv A. Luther, Mariko L. Bennett, Caroline L. Sokol, Chun Jimmie Ye, Xiaoming Wang and Andrew D. Luster. Their work appears in journals such as Science Immunology, Nature, Science Translational Medicine, Science and Cell Genomics.

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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