Mark Liu

685 citations
36 papers · 539 · h-index 11

Impact in

    • Species Distribution and Climate Change
    • Immune responses and vaccinations
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Asthma and respiratory diseases 7
    • Fungal Biology and Applications 4
    • Microbial Natural Products and Biosynthesis 4

Mark Liu

31 papers receiving 510 citations

Peers

Mark Liu
Comparison fields: 5 of 116
  • Ecological Modeling 56
  • Immunology 148
  • Sensory Systems 19
  • Endocrine and Autonomic Systems 23
  • Cellular and Molecular Neuroscience 64
Replace Parvin Shahrestani with:
Parvin Shahrestani United States
José Carlos Nogueira Brazil
Rosemarie B. Thau United States
Kazuya Kobayashi Japan
Karen Nilsson Australia
Yuchun Li China
Kazuki Saito Japan
Mariko Ito Japan
M Griffiths United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mark Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mark Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999118
2 201491
3 202074
4 201340
5 197940
6 202226
7 202122
8 202222
9 200518
10 198413
11 202113
12 197710
13 20218
14 19817
15 19937
16 20194
17 20154
18 20234
19
Non-depolarizing Neuromuscular Blockers
20192
20 20232

About Mark Liu

Mark Liu is a scholar working on Physiology, Pharmacology, Immunology, Ecological Modeling and Sensory Systems, having authored 36 papers that have together received 539 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Fungal Biology and Applications (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Immune responses and vaccinations (3 papers), Mental Health and Psychiatry (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Species Distribution and Climate Change (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Ecological Modeling (56 citations), Immunology (148 citations), Sensory Systems (19 citations), Endocrine and Autonomic Systems (23 citations) and Cellular and Molecular Neuroscience (64 citations). Mark Liu has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Dawn D. Hunter, Mary Haak‐Frendscho, Axel K. Fischer, Bradley J. Undem, Scott V. Edwards, Miguel Alcaide, CHAO-MIN LIU, Simon D. van Haren, Ofer Levy and Al Ozonoff. Their work appears in journals such as The Journal of Antibiotics, Journal of Allergy and Clinical Immunology, CHEST Journal, Vaccine and ImmunoHorizons.

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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