Lingli Yan

655 citations
19 papers · 480 · h-index 14

Impact in

Papers in

    • Alzheimer's disease research and treatments 5
    • Nitric Oxide and Endothelin Effects 1
    • Glycosylation and Glycoproteins Research 2

Lingli Yan

19 papers receiving 476 citations

Peers

Lingli Yan
Comparison fields: 5 of 76
  • Biological Psychiatry 21
  • Neurology 49
  • Oncology 91
  • Immunology 64
  • Physiology 73
Replace Dai Yuan with:
Dai Yuan China
Ismail Kaddour‐Djebbar United States
Camille A. Juźwik Canada
Ya Jie Meng China
Alireza Kheirollah Iran
Luis Javier Flores-Alvarado Mexico
Ssu-Ming Huang Taiwan
Lingli Yan relative to Dai Yuan China Dai Yuan's profile →
Citations per field
00.5×1.5×2.1×
Dai Yuan · 1×
Citations per year

Countries citing papers authored by Lingli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Target selection of CAR T cell therapy in accordance with the TME for solid tumors.
201968
2 201855
3 200853
4 201953
5 201743
6 202337
7 201926
8 202020
9 201820
10 202119
11 202319
12 201818
13 202318
14 202018
15 20224
16 20233
17 20243
18
[Effect of hepatocyte-like cells induced by CD34+ cells in vitro on the repair of injured hepatic tissues of mice in vivo].
20092
19 20241

About Lingli Yan

Lingli Yan is a scholar working on Physiology, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Oncology, having authored 19 papers that have together received 480 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Glycosylation and Glycoproteins Research (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Neurological Disorders and Treatments (2 papers), CAR-T cell therapy research (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Biological Psychiatry (21 citations), Neurology (49 citations), Oncology (91 citations), Immunology (64 citations) and Physiology (73 citations). Lingli Yan has collaborated with scholars based in China, Macao and Taiwan. Frequent co-authors include Ming Zhou, Huanxing Su, Qihai Gong, Yuanyuan Deng, Jianmei Gao, Yuangui Liu, Senthil Kumaran Satyanarayanan, Yang Shi, Xiaoli Yao and Haibo Cai. Their work appears in journals such as Brain Behavior and Immunity, Advanced Materials, Frontiers in Pharmacology, OncoTargets and Therapy and Pharmacological Research.

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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