Amy Li

14.8k citations
148 papers · 9.5k indexed · 4 hit papers · h-index 49

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Wound Healing and Treatments

Papers in

Amy Li

147 papers receiving 9.3k citations

Hit Papers

Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions 2017 · 368 citations
3681992202620032014250500750

Peers

Amy Li
Comparison fields: 5 of 184
  • Immunology 1.8k
  • Rehabilitation 530
  • Biological Psychiatry 140
  • Urology 352
  • Molecular Biology 3.7k
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Hiroshi Nakamura Japan
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Richard A. Knight United Kingdom
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Amy Li relative to Eiji Kobayashi Japan Eiji Kobayashi's profile →
Citations per field
00.5×3.1×
Eiji Kobayashi · 1×
Citations per year

Countries citing papers authored by Amy Li

Since Specialization
Citations

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

Fields of papers citing papers by Amy Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20233
3 20230
4 202377
5 202210
6 2022111
7 202245
8 20216
9 201929
10 201954
11 201916
12 201929
13
What’s normal? Should urinary creatinine or osmolarity be used to normalise urinary protein measurements?
20181
14 2018160
15 201740
16 201720
17 20169
18
Effects of honey versus sucrose on weight gain, adiposity and adipocentric markers of metabolism
20075
19 2004177
20 200016

About Amy Li

Amy Li is a scholar working on Rehabilitation, Cardiology and Cardiovascular Medicine, Biological Psychiatry, Immunology and Neurology, having authored 148 papers that have together received 9.5k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (24 papers), Wound Healing and Treatments (11 papers), Immune Cell Function and Interaction (10 papers), Cardiovascular Effects of Exercise (9 papers), Immunotherapy and Immune Responses (8 papers), Particle Dynamics in Fluid Flows (8 papers), Skin and Cellular Biology Research (8 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Immunology (1.8k citations), Rehabilitation (530 citations), Biological Psychiatry (140 citations), Urology (352 citations) and Molecular Biology (3.7k citations). Amy Li has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Goodarz Ahmadi, Pritinder Kaur, Michael C. Bassik, David W. Morgens, Gaelen T. Hess, Kyuho Han, Paul J. Simmons, Cristobal G. dos Remedios, Christophe Benoıst and Nozomu Kamei. Their work appears in journals such as Biophysical Reviews, World Neurosurgery, Scientific Reports, Circulation Heart Failure and Proceedings of the National Academy of Sciences.

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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