Lei Ling

73 papers receiving 4.2k citations

Hit Papers

Efficacy and Safety of Aldafermin, an Engineered FGF19 Analog, in a Randomized, Double-Blind, Placebo-Controlled Trial of Patients With Nonalcoholic Steatohepatitis 2020 · 218 citations
2182004202620112018200400600

Peers

Lei Ling
Comparison fields: 5 of 124
  • Biological Psychiatry 331
  • Hepatology 715
  • Behavioral Neuroscience 209
  • Epidemiology 1.5k
  • Endocrinology, Diabetes and Metabolism 599
Replace Sharon DeMorrow with:
Sharon DeMorrow United States
Koji Aoyama Japan
Xiao Han China
José L. Mauriz Spain
Utpal B. Pajvani United States
Hail Kim South Korea
Liying Li China
Xiaozhong Wang China
Min Jia China
Rohit A. Sinha India
Lei Ling relative to Sharon DeMorrow United States Sharon DeMorrow's profile →
Citations per field
00.5×4.4×
Sharon DeMorrow · 1×
Citations per year

Countries citing papers authored by Lei Ling

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20251
5 20243
6 202316
7 20232
8 20232
9 202163
10
非アルコール性脂肪性肝炎患者の無作為化二重盲検プラセボ対照試験における人工FGF19類似体,アルダフェルミンの有効性と安全性【JST・京大機械翻訳】
202121
11
A significant response to a combination of trastuzumab and vinorelbine in HER2-negative metastatic breast cancer with HER2 V777L mutation
20191
12 20192
13 201784
14 2014153
15 20126
16 20101
17 20064
18
Citric acid cycle intermediates as ligands for orphan G-protein-coupled receptors
Hit paper breakdown →
2004708
19 200131
20 199425

About Lei Ling

Lei Ling is a scholar working on Hepatology, Physiology, Molecular Biology, Clinical Biochemistry and Epidemiology, having authored 76 papers that have together received 4.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Fibroblast Growth Factor Research (19 papers), Pancreatitis Pathology and Treatment (7 papers), Kruppel-like factors research (7 papers), Enzyme Catalysis and Immobilization (6 papers), Liver Diseases and Immunity (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Biological Psychiatry (331 citations), Hepatology (715 citations), Behavioral Neuroscience (209 citations), Epidemiology (1.5k citations) and Endocrinology, Diabetes and Metabolism (599 citations). Lei Ling has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hui Tian, Alex M. DePaoli, Nicole Simonavicius, Jinghong Wang, Xiaosu Wu, Stephen J. Rossi, R. Marc Learned, Stephen A. Harrison, Zhulun Wang and Jinlong Chen. Their work appears in journals such as Journal of Hepatology, Hepatology, Diabetes, Gastroenterology and Journal of Biological Chemistry.

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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