Ranran Li

1.2k citations
48 papers · 880 · h-index 17

Impact in

Papers in

    • Inflammasome and immune disorders 3
    • Histone Deacetylase Inhibitors Research 3
    • Kruppel-like factors research 2
    • Immune Response and Inflammation 3
    • interferon and immune responses 2
    • Immune cells in cancer 2

Ranran Li

47 papers receiving 872 citations

Peers

Ranran Li
Comparison fields: 5 of 115
  • Animal Science and Zoology 142
  • Immunology 145
  • Critical Care and Intensive Care Medicine 26
  • Infectious Diseases 79
  • Cancer Research 62
Replace W. Haider with:
W. Haider Germany
Qihong Zhao United States
Jinghua Liu China
Yunhuan Gao China
Natalia Muñoz‐Durango Chile
Praveen Mannam United States
P. Popovič United States
Ranran Li relative to W. Haider Germany W. Haider's profile →
Citations per field
00.5×6.4×
W. Haider · 1×
Citations per year

Countries citing papers authored by Ranran Li

Since Specialization
Citations

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

Fields of papers citing papers by Ranran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 202092
3 201659
4 201949
5 202244
6 202135
7 201633
8 201926
9 202425
10 202223
11 201822
12 201921
13 201721
14 201720
15 201818
16 202318
17 201518
18 201416
19 202114
20 202013

About Ranran Li

Ranran Li is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 48 papers that have together received 880 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Inflammasome and immune disorders (3 papers), Immune Response and Inflammation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Kruppel-like factors research (2 papers), interferon and immune responses (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Animal Science and Zoology (142 citations), Immunology (145 citations), Critical Care and Intensive Care Medicine (26 citations), Infectious Diseases (79 citations) and Cancer Research (62 citations). Ranran Li has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Huimin Yang, Shasha Cheng, Xiaohui Wang, Mingqian Tan, Huihui Wang, Haitao Wang, Zhixiong Wu, Hongping Qu, Mingyong Han and Jiao Liu. Their work appears in journals such as Shock, PLoS ONE, European Radiology, Critical Care Medicine and Frontiers in Immunology.

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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