Erick Lu

1.7k citations
14 papers · 867 indexed · h-index 9

Impact in

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

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 4
    • Inflammation biomarkers and pathways 2
    • Immune cells in cancer 2
    • Adenosine and Purinergic Signaling 4

Erick Lu

13 papers receiving 865 citations

Peers

Erick Lu
Comparison fields: 5 of 76
  • Immunology 619
  • Oncology 167
  • Physiology 23
  • Immunology and Allergy 29
  • Molecular Biology 225
Replace Irene Chernova with:
Irene Chernova United States
Heba Nowyhed United States
Nicola Harker United Kingdom
Georgina H. Cornish United Kingdom
Lisa A. Miosge Australia
Alejandra Mendoza United States
Ruth A. Ettinger United States
Taras Kreslavsky United States
Hongkang Xi United States
Tali Feferman Israel
Erick Lu relative to Irene Chernova United States Irene Chernova's profile →
Citations per field
00.5×1.5×2.1×
Irene Chernova · 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 2018289
2 2016219
3 201768
4 201759
5 201956
6 201954
7 202246
8 201544
9 202414
10 20038
11 20216
12 20192
13 20212
14 20250

About Erick Lu

Erick Lu is a scholar working on Immunology, Physiology, Molecular Biology, Surgery and Oncology, having authored 14 papers that have together received 867 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (4 papers), Adenosine and Purinergic Signaling (4 papers), Inflammation biomarkers and pathways (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (619 citations), Oncology (167 citations), Physiology (23 citations), Immunology and Allergy (29 citations) and Molecular Biology (225 citations). Erick Lu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jason G. Cyster, Jianhua Li, Tangsheng Yi, Lauren B. Rodda, Xiaoming Wang, Caroline L. Sokol, Sanjiv A. Luther, Andrew D. Luster, Ben A. Barres and Mariko L. Bennett. Their work appears in journals such as Science Immunology, Nature, Molecular Cancer Therapeutics, Cell Genomics and Science.

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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