Ryan Lu

788 citations
18 papers · 500 · h-index 11

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer

Papers in

    • Immune cells in cancer 7
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Cell Function and Interaction 2
    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 2

Ryan Lu

18 papers receiving 494 citations

Peers

Ryan Lu
Comparison fields: 5 of 80
  • Aging 75
  • Immunology 112
  • Physiology 119
  • Rheumatology 68
  • Neurology 35
Replace Yotam Raz with:
Yotam Raz Netherlands
A. Utani Japan
Éva Hadadi Hungary
Maryline Favier France
Hallie N. Nelson United States
Takahisa Miyao Japan
Munehiro Ohashi Japan
Georgiana Crainiciuc Spain
Françoise Dandoy‐Dron France
Ryan Lu relative to Yotam Raz Netherlands Yotam Raz's profile →
Citations per field
00.5×5×10×13.6×
Yotam Raz · 1×
Citations per year

Countries citing papers authored by Ryan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2021143
2 202187
3 201982
4 202136
5 201936
6 202128
7 202117
8 202115
9 202315
10 202214
11 202111
12 20205
13 20235
14 20202
15 20251
16 20201
17 20251
18 20161

About Ryan Lu

Ryan Lu is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Physiology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 500 indexed citations. Recurring topics across this work include Immune cells in cancer (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Single-cell and spatial transcriptomics (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Immune Cell Function and Interaction (2 papers), Circadian rhythm and melatonin (2 papers), Epigenetics and DNA Methylation (2 papers) and Sex and Gender in Healthcare (2 papers). The work is most often cited by research in Aging (75 citations), Immunology (112 citations), Physiology (119 citations), Rheumatology (68 citations) and Neurology (35 citations). Ryan Lu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bérénice A. Benayoun, Nirmal Kumar Sampathkumar, Rochelle W. Lai, Juan I. Bravo, Minhoo Kim, Pinchas Cohen, Cameron J. Mitchell, Nicholas A. Graham, Changhan Lee and Troy L. Merry. Their work appears in journals such as The Journal of Immunology, Scientific Data, Briefings in Functional Genomics, Human Genetics and Journal of Environmental Psychology.

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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