Mark Liu

649 citations
32 papers · 459 · h-index 10

Impact in

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

Papers in

Mark Liu

29 papers receiving 449 citations

Peers

Mark Liu
Comparison fields: 5 of 110
  • Ecological Modeling 43
  • Immunology 140
  • Sensory Systems 23
  • Cellular and Molecular Neuroscience 66
  • Endocrine and Autonomic Systems 23
Replace Parvin Shahrestani with:
Parvin Shahrestani United States
Eliane Bourreau French Guiana
Jennifer Mitchell United States
Hongmei Liu China
Marıá Gracia Gervasi United States
Ikuko Nakamura Japan
L. A. Gerlinskaya Russia
J.L. Dutton Australia
Colin R. Lickwar United States
Mariko Ito Japan
Mark Liu relative to Parvin Shahrestani United States Parvin Shahrestani's profile →
Citations per field
00.5×7.2×
Parvin Shahrestani · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999112
2 201470
3 202064
4 197939
5 201337
6 202220
7 202218
8 202116
9 200516
10 198412
11 20219
12 19779
13 19937
14 20216
15 19815
16 20153
17 20232
18 20232
19 20142
20 20211

About Mark Liu

Mark Liu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Immunology, Pharmacology and Molecular Biology, having authored 32 papers that have together received 459 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Microbial Natural Products and Biosynthesis (4 papers), Immune responses and vaccinations (4 papers), Fungal Biology and Applications (4 papers), Neonatal Respiratory Health Research (3 papers), Species Distribution and Climate Change (2 papers), Immune Response and Inflammation (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Ecological Modeling (43 citations), Immunology (140 citations), Sensory Systems (23 citations), Cellular and Molecular Neuroscience (66 citations) and Endocrine and Autonomic Systems (23 citations). Mark Liu has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Axel Fischer, Bradley J. Undem, Mary Haak‐Frendscho, Scott V. Edwards, Miguel Alcaide, CHAO-MIN LIU, Ofer Levy, Simon D. van Haren, P. Miller and Al Ozonoff. Their work appears in journals such as The Journal of Antibiotics, Journal of Allergy and Clinical Immunology, CHEST Journal, Frontiers in Microbiology and BioScience.

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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