Ran Lv

930 citations
34 papers · 725 · h-index 15

Impact in

Papers in

    • IL-33, ST2, and ILC Pathways 3
    • Immune Response and Inflammation 3
    • Galectins and Cancer Biology 1

Ran Lv

32 papers receiving 703 citations

Peers

Ran Lv
Comparison fields: 5 of 96
  • Oncology 175
  • Critical Care and Intensive Care Medicine 30
  • Immunology 118
  • Biological Psychiatry 9
  • Cancer Research 51
Replace Yuling Chen with:
Yuling Chen China
Yilin Zhao China
Annegret Reinhold Germany
Hideki Mochizuki Japan
S. Sookhai Ireland
Huanping Zhou China
Yao Wu China
Mengdi Qu China
Yunhe Zhang China
Xiangzhi Fang China
Ran Lv relative to Yuling Chen China Yuling Chen's profile →
Citations per field
00.5×2.6×
Yuling Chen · 1×
Citations per year

Countries citing papers authored by Ran Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ran Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017107
2 201087
3 201477
4 200773
5 200835
6
Betamethasone affects cerebral expressions of NF-kappaB and cytokines that correlate with pain behavior in a rat model of neuropathy.
200627
7 201526
8 201725
9 201223
10 201922
11 201821
12
Mechanism of the effect of hydroxyethyl starch on reducing pulmonary capillary permeability in a rat model of sepsis.
200519
13 200618
14 200417
15 200714
16 200514
17 200512
18 201612
19 202112
20 201812

About Ran Lv

Ran Lv is a scholar working on Immunology, Surgery, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 725 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (3 papers), Sepsis Diagnosis and Treatment (3 papers), Immune Response and Inflammation (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Oncology (175 citations), Critical Care and Intensive Care Medicine (30 citations), Immunology (118 citations), Biological Psychiatry (9 citations) and Cancer Research (51 citations). Ran Lv has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qi Bao, Yan Li, Wei Zhou, Yiping Mou, Ingrid Herr, Xiujun Cai, Jianguo Xu, Zhenzhou Chen, Weilin Qi and Wei Liu. Their work appears in journals such as Acta Anaesthesiologica Scandinavica, Inflammation Research, Brazilian Journal of Medical and Biological Research, npj Precision Oncology and Neurourology and Urodynamics.

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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