Lin Lü

2.0k citations
139 papers · 1.3k · h-index 19

Impact in

Papers in

Lin Lü

123 papers receiving 1.3k citations

Peers

Lin Lü
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 590
  • Nephrology 73
  • Genetics 93
  • Health Informatics 12
  • Microbiology 5
Replace Shyang‐Rong Shih with:
Shyang‐Rong Shih Taiwan
Alan Jaap United Kingdom
Nikolaos Fragakis Greece
A Ram Hong South Korea
Minxian Wang China
Chien‐Hua Chen Taiwan
Xianliang Zhou China
Théodora Bejan‐Angoulvant France
James P. Pirruccello United States
Clinton C. Mason United States
Lin Lü relative to Shyang‐Rong Shih Taiwan Shyang‐Rong Shih's profile →
Citations per field
00.5×3.6×
Shyang‐Rong Shih · 1×
Citations per year

Countries citing papers authored by Lin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cardiovascular disease and its relationship with chronic kidney disease.
2014202
2 201950
3 201740
4 200534
5 201733
6 201930
7 201929
8 200829
9 202027
10 201827
11 201926
12 201924
13 201924
14 202022
15 201619
16 202119
17 202019
18 202218
19 201818
20 202016

About Lin Lü

Lin Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 139 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (51 papers), Sexual Differentiation and Disorders (15 papers), Adrenal and Paraganglionic Tumors (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Adrenal Hormones and Disorders (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Hormonal and reproductive studies (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (590 citations), Nephrology (73 citations), Genetics (93 citations), Health Informatics (12 citations) and Microbiology (5 citations). Lin Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huijuan Zhu, Yong Yao, Renzhi Wang, Mingming Liu, Zhang Py, Yuping Cao, Song Chen, Kan Deng, Zhaolin Lu and Xinjie Bao. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Pituitary, Clinical Endocrinology and Endocrine Practice.

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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