Mingli Liu

4.5k citations
92 papers · 3.3k · 1 hit paper · h-index 28

Impact in

Papers in

Mingli Liu

87 papers receiving 3.3k citations

Mingli Liu's Hit Papers

CXCL10/IP-10 in infectious diseases pathogenesis and potential therapeutic implications 2011 · 582 citations
5820+5+10Years since publication100200300400500

Peers

Mingli Liu
Comparison fields: 5 of 139
  • Immunology 646
  • Cancer Research 323
  • Oncology 527
  • Aquatic Science 122
  • Sensory Systems 72
Replace Bernd Schröder with:
Bernd Schröder Germany
Jens Krøll Germany
Takashi Kageyama Japan
Dan Wang China
Ning Wang China
Liming Sun China
Naoki Yamanaka Japan
Kenichi Suzuki Japan
Dick D. Mosser Canada
Liyang Zhang China
Mingli Liu relative to Bernd Schröder Germany Bernd Schröder's profile →
Citations per field
00.5×1.5×2.0×
Bernd Schröder · 1×
Citations per year

Countries citing papers authored by Mingli Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CXCL10/IP-10 in infectious diseases pathogenesis and potential therapeutic implications
Hit paper breakdown →
2011582
2 2011326
3 2010219
4 2017196
5 2015133
6 2014121
7 2012117
8 2008103
9 201497
10 201987
11 201881
12 201776
13 201676
14 200270
15 201555
16 201354
17 201451
18 200347
19 201542
20 201239

About Mingli Liu

Mingli Liu is a scholar working on Molecular Biology, Cancer Research, Immunology, Plant Science and Oncology, having authored 92 papers that have together received 3.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Magnesium in Health and Disease (6 papers), Plant Molecular Biology Research (5 papers), Malaria Research and Control (5 papers), interferon and immune responses (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Immunology (646 citations), Cancer Research (323 citations), Oncology (527 citations), Aquatic Science (122 citations) and Sensory Systems (72 citations). Mingli Liu has collaborated with scholars based in United States, China and India. Frequent co-authors include Shanchun Guo, Jonathan K. Stiles, Nana O. Wilson, Jacqueline M. Hibbert, Ruben R. Gonzalez‐Perez, Neeru Singh, Vidhan Jain, Guangdi Wang, Na Sui and Weiqiang Zhou. Their work appears in journals such as PLoS ONE, Scientific Reports, Aquaculture, Cancer Research and Physiologia Plantarum.

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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