Runting Li

922 citations
42 papers · 540 · h-index 13

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Intracranial Aneurysms: Treatment and Complications
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

    • Intracranial Aneurysms: Treatment and Complications 22
    • Traumatic Brain Injury and Neurovascular Disturbances 21
    • Intracerebral and Subarachnoid Hemorrhage Research 7
    • Vascular Malformations Diagnosis and Treatment 5
    • Neurosurgical Procedures and Complications 5

Runting Li

35 papers receiving 536 citations

Peers

Runting Li
Comparison fields: 5 of 101
  • Genetics 104
  • Neurology 124
  • Neurology 60
  • Radiology, Nuclear Medicine and Imaging 153
  • Health Informatics 8
Replace Panpan Liu with:
Panpan Liu China
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Runting Li relative to Panpan Liu China Panpan Liu's profile →
Citations per field
00.5×10.6×
Panpan Liu · 1×
Citations per year

Countries citing papers authored by Runting Li

Since Specialization
Citations

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

Fields of papers citing papers by Runting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019146
2 201666
3 202148
4 201638
5 202327
6 202023
7 202123
8 202018
9 202315
10 202214
11 202214
12 201914
13 202212
14 20239
15 20238
16 20208
17 20227
18 20226
19 20236
20 20245

About Runting Li

Runting Li is a scholar working on Neurology, Molecular Biology, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 540 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (22 papers), Traumatic Brain Injury and Neurovascular Disturbances (21 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Neurosurgical Procedures and Complications (5 papers), Glioma Diagnosis and Treatment (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Soft tissue tumor case studies (2 papers). The work is most often cited by research in Genetics (104 citations), Neurology (124 citations), Neurology (60 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Health Informatics (8 citations). Runting Li has collaborated with scholars based in China, United States and Lithuania. Frequent co-authors include Lianwang Li, Grace Y. Sun, Xiaolin Chen, Zezong Gu, Kevin L. Fritsche, Yiming Li, Chuanbao Zhang, Jiankun Cui, Wenbin Li and Yongzhi Wang. Their work appears in journals such as NeuroMolecular Medicine, Journal of Inflammation Research, CNS Neuroscience & Therapeutics, Frontiers in Aging Neuroscience and Frontiers in Neurology.

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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